Curriculum Vitae

Vivekanandan (Vivek) Suresh Kumar, PhD (Computer Science), MCA (Computer Applications), BSc (Physics)

vkumar@tru.ca or vivek.kumar@ieee.org

1. Current position

July 2024 – Associate Dean (Flexible Learning), Faculty of Science, Thompson Rivers U.

July 2024 – Professor, Computing Science, Faculty of Science, Thompson Rivers U.

Aug 2016 – President and CEO, Smart Informatics Ltd. (spinoff from Athabasca U.)

2. Previous work experience

May 2025 – Dec 2025 Vice-President Research (academic oversight), Thompson Rivers U.

Dec 2020 – Jun 2024 Associate Dean – Research and Innovation, Faculty of Science and Technology, Athabasca University, Edmonton, Canada

July 2024 – Dec 2024 Professor (0.2FTE), Computing and Information Systems, Athabasca University, Edmonton, Canada.

July 2015 – Jun 2024 Full Professor, School of Computing and Information Systems, Athabasca University, Edmonton, Canada

Mar 2021 – Jun 2024 Director (interim), Athabasca River Basic Research Institute (ARBRI), Athabasca University, Edmonton, Canada

July 2020 – Jun 2024 Member/Director, Board of Directors, ELIXR Simulations, Edmonton, Canada

Apr 2016 – Jun 2017 Research and Study Leave (sabbatical)

Jul 2014 – Sep 2015 Associate Dean, Faculty of Graduate Studies, Athabasca University, Edmonton, Canada

May 2014 – July 2016 Director, Smart Informatics Ltd. (spinoff from Athabasca University)

July 2013 – Jan 2015 Chair, Research Ethics Board, Athabasca University, Edmonton, Canada

July 2013 – Nov. 2014 Program Director, Faculty of Science and Technology, Athabasca University, Edmonton, Canada

Aug 2008 – June 2015 Associate Professor, School of Computing and Information Systems, Athabasca University, Edmonton, Canada

Sep 2006 – Jul 2008 Senior Lecturer, Institute of Information Sciences and Technology, Massey University, Wellington, New Zealand

Jan 2006 – Jul 2006 Team Leader / Educational Technologist / Instructional Designer Multimedia Specialist, Deputed to Open University of Sri Lanka, Colombo, Sri Lanka

Jun 2001 – Aug 2006 Assistant Professor, School of Interactive Arts and Technology, Simon Fraser University, Surrey, Canada

Dec 1992 – May 1993 Fellow, United Nations Development Program, Learning Research and Development Centre (LRDC), University of Pittsburgh, USA

Sep 1990 – Aug 1995 Scientist, Centre for Development of Advance Computing (previously, National Centre for Software Technology), Mumbai, India

3. Leadership and Administration

Administration (Open Learning for Science and the Department of Respiratory Therapy)

Along with the Dean and two other Associate Deans, administer nine departments with 150+ faculty and staff.
Partner with People & Culture on recruitment, onboarding, and professional development; conduct annual performance reviews.
Maintain robust decision-making through Program and Faculty Councils; ensure policy compliance.
Keep Faculty operations on budget; prepare targeted government-funding proposals and incremental budget asks.
Work closely with Centre for Excellence in Learning and Teaching, Accessibility Services, Finance, People & Culture, Research Office, Integrated Planning & Effectiveness, Registrar, and Mission Fulfilment and Quality Assurance on planning, audits, costing, and transfer-credit updates.
Plan and manage science laboratories, core facilities, and high-performance computing resources.
Design annual training plans for faculty and staff (AI in Education, research compliance).
Organize program reviews, course reviews and campus-open learning curricular alignment. Bridge on-campus and Open Learning offerings; expand hybrid and online options.
Approve research processes, ethics, and graduate-student training in collaboration with the VP Research Office.

Leadership

Liaise with Open Learning on oversight, curriculum alignment, inclusive pedagogy, authentic assessment, and flexible delivery.
Launch projects in Generative-AI literacy, teaching excellence, assessment revitalization, agile content development, and automation of academic support for students.
Implement strategies to weave Indigenous worldviews into curricula, starting with Research Methods courses and Land-based alternative assessments.
Review annual and departmental budgets; prepare integrated resource plans.
Embed Work-Integrated Learning experiences into targeted programs and strengthen industry partnerships.
Develop new interdisciplinary credentials (e.g., Bachelor of Health Science) and micro-credential pathways that ladder into degrees.
Foster high service standards and a commitment to student success across all units.
Contribute actively to Faculty and university committees (e.g., Inland Health).
Advocate for partnerships with international institutions, Indigenous communities, non-profits (e.g., Discovery Education) and industry.
Promote collaborative, interdisciplinary research and mentor emerging scholars.
Champion equity, diversity, inclusion, and decolonization in course design, staffing, and communications.

4. Research funding

External Research Funding

Title of Research Proposal	Funding Organization/Program	Period	in CAD$
Discovery Foundation’s AI Skills Accelerator	Discovery Foundation	2025-2026	$32,500
Enhancing Rural Alberta’s Real Estate through Accessible & Universal Design; PI: Henry Tsang; my role as Collaborator	Alberta Real Estate Foundation	2023-2025	$200,020
Market Research and Strategy for Startups	Mitacs	2023-2024	$450,000
Global Skills Opportunity; PI: Veronica Madonna	Govt. of Canada	2023-2025	$329,760
Targeted Enrollment Expansion	Govt. of Alberta	2023-2024	$143,000
Quality in Canada’s Built Environment: Roadmaps to Equity, Social Value and Sustainability, Co-Applicant; PI: Jean-Pierre Chupin, UMontreal; total 70 researchers	SSHRC Partnership Grant	2022-2027	$8.6M total ($2,496,780 from SSHRC)
“Nîyâkahpisôwin” (Future Connection) ICT Network Administration Certificate Program; PI: Dr Claudine Louis; Collaborator	Post-Secondary Partnerships Program, Govt. of Canada	2022-2023	$100,000
Communities in transition: strategies and solutions for rural Canada; PI: Dr Douglas MacLeod	SSHRC Connections Grant	2021-2023	$49,600
Enhancing Rural and Regional Real Estate through Community Learning; PI: Dr Douglas MacLeod; Collaborator	Alberta Real Estate Foundation	2021-2023	$250,000
Human/AI Proactive Cooperation in Explainable Automated Essay Scoring (includes AI supplemental); Principal Investigator	NSERC Discovery Development Grant, Government of Canada	2021-2024	$60,000
Development of Micro-credentials; Co-Principal Investigator	Government of Alberta	2021-2023	$1,042,500
Canada Research Continuity Emergency Fund – Stage 1 and Stage 4; Principal Investigator	Government of Canada	2020-2021	$52,038
Learning Machines, Here We Come: On my way to meet the 4th industrial Revolution; Principal Investigator	Callysto – Cybera and Pacific Institute for the Mathematics Sciences	2020-2021	$15,480
Form and Function(s): A Sustainable Design meets Computation OER Sprint; project member, PI: Dr Greenwood-Lee & Dr Blomgren	Callysto – Cybera and Pacific Institute for the Mathematics Sciences	2020-2021	$36,950
Competency-based immersive training with augmented and virtual reality environments; Principal Investigator	Canadian Natural Resources Ltd.	2019-2020	$90,000
Competency-based immersive training for EOP and SOP procedures with augmented and virtual reality environments; Principal Investigator	Canadian Natural Resources Ltd.	2018-2019	$150,000
IoT in Learning Analytics: a literature review; Principal Investigator	NSERC USRA, Canada	2017-2018	$10,175
Competency based immersive training for EOP and SOP procedures with augmented and virtual reality environments; Principal Investigator	Canadian Natural Resources Ltd.	2017-2018	$75,000
Junior Hockey Competence Analytics; Principal Investigator	Mitacs Elevate, Canada	2017–2019	$110,000
Smart Learning Environment; Principal Investigator	Department of Foreign Affairs, Trade & Devpt.	2017–2018	$13,200
The construction of a saltation model of learning in online learning environments; Principal Investigator	NSERC USRA, Canada	2016	$10,175
Self-Regulated learning in gaming analytics; Principal Investigator	NSERC USRA, Canada	2016	$10,175
Analytics framework for competence, confidence and regulation; Principal Investigator	NSERC USRA, Canada	2016	$10,175
Competence analytics in gaming; Principal Investigator	Mitacs Accelerate, Canada	2015–2016	$45,000
A Pedagogical Software Agent to Scaffold Self-Regulated Learning Initiatives; Principal Investigator	NSERC USRA, Canada	2015	$10,175
Ubiquitous learning analytics; Co-Principal Investigator, PI: Dr Kinshuk	NSERC Industrial Research Chair, Canada	2015–2020	$2,015,800
Demography modelling and analytics	Troglo Inc. & Athabasca University, IRAP,Canada	2014–2015	$45,000
Pedagogical software agent for coding	NSERC USRA, Canada	2014	$9,000
Self- and Co-Regulating Anthropomorphic Pedagogical Agents	NSERC Discovery Grant, Canada	2013–2018	$75,000
Multimedia Object Research Platform Host (MORPH) for Adaptive and Mobile Learning; Co-Principal Investigator, PI: Dr Sabine Graf	CFI infrastructure funds, Canada	2013–2015	$934,000
Tracing the Evolution of Learner Competency in Blended Online Courses; Principal Investigator	Shastri Indo-Canadian Institute – PDIG, Canada	2012–2013	$7,000
Open Social Mobile Systems (OSMoSYS); member, PI: Dr Jon Dron	Canada Foundation for Innovation (CFI)	2010–2016	$875,000 = 50,000
Adaptivity and Personalization in Informatics; Co-Principal Investigator, PI: Dr Kinshuk	NSERC Industrial Research Chair Program, Canada	2010–2015	$2,280,000
Sentiment Analysis; Principal Investigator	NSERC IRAP, Canada	2013	$10,000
Web annotation in Discussion Forums; Co-Principal Investigator, PI: Dr Cindy Xin	BC Campus funding, Canada	2009–2010	$20,000
Mixed-Initiative Interfaces in LearningKit; Principal Investigator	Massey University (from SFU), New Zealand	2007–2008	$60,000
Secure random number generation; Principal Investigator	NSERC USRA, Canada	2004–2005	$13,000
Interoperability in Sustainable Learning Object Ecosystem; Co-Principal Investigator, PI: Dr Gilbert Paquette	NSERC – Learning Object Repository Networks (LORNET), Canada	2003–2008	$7,5M total (SFU’s portion $1,042,866)
Theory and Cognitive Tools to Enhance Learning Skills and Support Life-Long Learning; Co-Principal Investigator, PI: Dr Philip Winne	SSHRC – Self-Regulated Learning (Learning Kit), Canada	2003–2007	$2,998,983
Technologies, Human and Social Factors, and Simulations and Games characteristics that are Engaging, Motivating, and Effective for Learning; Researcher, PI: Dr David Kaufmann	SSHRC – Simulations and Advanced Gaming Environments (SAGE), Canada	2003–2007	$2,983,495
Personalized Distributed Computing; Principal Investigator	NSERC Discovery Research Grant, Canada	2002–2006	$64,000
A technology for packaging legacy eLearning material; Principal Investigator	Advanced Systems Institute (ASI), Canada	2003	$20,000
Infrastructure for Information Technology, Networks, and Media Research; Co-Principal Investigator, PI: Dr Tom Calvert	CFI/BCKDF InfoNet Media Centre, Canada	2002–2003	$975,934

Internal Research Funding

Title	Funding Organization/Program	Period	CAD$
ARF Publications for article published in Frontiers in Education; Principal Investigator	ARF, Athabasca University	2020 – 2021	$2,000
CNRL AR/VR Training (2020-2025) ; Principal Investigator	AU Special Industry Support Funding	2020-2021	$25,000
Impact of COVID-19 Pandemic on Athabasca University’s Performance: An Analysis from the Perspective of Multiple Educational Stakeholders; Principal Investigator	AU Special COVID-19 Funding	2020-2021	$6,000
Assessing Learning Analytics Impact on Coding Competence Growth (ICALT 2019) ; Principal Investigator	Athabasca University, Canada, Academic and Professional Development Fund (APDF)	2019	$1,400
Data-driven approach to improving learning experiences: measuring the impact of a disruptive pedagogy learning analytics technique in a coding-intensive course (COMP308) at Athabasca University; Principal Investigator	Athabasca University, Canada, Academic Research Funding (ARF)	2019-2020	$5997
Video reenactment; Principal Investigator	Athabasca University, Canada	2018- 2019	$50,000
Real-time visual feedback: a study in coding analytics (ICALT 2017) ; Principal Investigator	Athabasca University, Canada, Academic and Professional Development Fund (APDF)	2017	$1,400
Open Research; Principal Investigator	Athabasca University, Canada, Academic and Professional Development Fund (APDF)	2016	$1,000
Big data learning analytics; Principal Investigator	Athabasca University, Canada, Mission Critical Research	2014	$6,000
Research Publications Analytics; Principal Investigator	Athabasca University, Canada, Research Centre	2014–2015	$35,000
Cree Immersion and Moodle Learning Analytics; Principal Investigator	Athabasca University, Canada, Mission Critical Research	2010–2011	$6,000
Semantic Technologies for Integrating Environments used in Learning of Programming Languages; Principal Investigator	Athabasca University, Canada, Mission Critical Research	2009–2010	$6,000
Causal modelling of online learning activities; Principal Investigator	Athabasca University, Canada, Athabasca Research Incentive Grants – Individual	2008–2011	$45,000
Large-scale modelling; Principal Investigator	Graduate scholarships in support of two graduate students at Massey University, New Zealand	2006–2008	$35,000
Scientific Conference of the LORNET Research Network; Principal Investigator	Simon Fraser University, Canada, Vice-President Academic’s Conference Fund	2005	$5,000
Cost Analysis and Modelling in eLearning Workflow; Principal Investigator	Simon Fraser University, Canada, PDF (UILO) Grant	2004–2005	$13,000
Academic Workflow; Principal Investigator	Simon Fraser University, Canada, UILO Grant	2003	$12,000
Mixed-Initiative Interactions; Principal Investigator	Simon Fraser University, Canada, Research Grant	2002–2004	$25,000
Mixed-Initiative Interfaces; Principal Investigator	Technical University of British Columbia, Canada, Research Grant	2001	$20,000
Peer Help Networks; Principal Investigator	Research Scholarship, University of Saskatchewan and NSERC, Canada	1995–1999	$36,000
Peer Help Networks; Research Assistant	Research/Teaching Assistantship, University of Saskatchewan and TeleLearn NCE, Canada	1995–1997	$15,000

Research Supervision and Examination

Ph.D. Thesis Examination, Bharathiar University, India, 2023 (Jitha Nair, Temporal Fusion Transformer and Transfer Learning for Time Series River Water Quality Prediction Model)
Ph.D. Thesis Examination, Indian Institute of Technology, India, 2023 (Ujjwal Biswas, An Intelligent Real-time ClassroomVisualization and Notification System)
Ph.D. Thesis Examination, Bharathiar University, India, 2023 (Jitha P. Nair, Temporal fusion transformer and transfer learning for time series river water quality production model)
Ph.D. Thesis Examination, Mother Teresa Women’s University, India, 2023 (Vajiha Begum S.A., Classification of Neurodegenerative Using Machine Learning Techniques)
Ph.D. Thesis Examination, Avinashilingam University, India, 2022 (Vanitha, N., An efficient decentralised multi-layer architecture for unmanned aerial vehicle assisting vehicular ad-hoc networks)
Ph.D. Candidacy Examination, Athabasca University, Canada, 2021 (Richard Rogers, Adapting a workplace open educational resource design with agile design thinking techniques)
Ph.D. Thesis Examination, Simon Fraser University, Canada, 2020 (Michael Pin-Chuan Lin, A proposed methodology for investigating chatbot effects In peer review)
Ph.D. Thesis Examination, University of Melbourne, Australia, 2020 (Malakian, D., Temporal analytics for understanding students’ study behaviours in digital educational environments)
Ph.D. Thesis Examination, Bharathiar University, India, 2020 (Komathi, A., Malicious node detection and secure data transmission in wireless sensor network)
Ph.D. Thesis Examination, Avinashilingam University, India, 2019 (Amudha, S., User behaviour-based web search personalization framework using selective machine learning techniques)
PhD Thesis Examination, Vellore Institute of Technology, India, 2019 (R.D. Jackson Samuel: Tuberculosis (TB) recognition system using deep learning techniques)
BSc with Honour, University of Otago, New Zealand, 2019 (Chris Wang: RCT study comparing the effectiveness of mixed reality, three-dimensional monoscopy, and textbook style learning tools for anatomical education in pre-clinical Medicine)
PhD Thesis Examination, Anna University, Chennai, 2019 (M Priyaadharshini: Analysing competency skills and performance of the learners using cloud based flipped classroom)
PhD Thesis Examination, University of Otago, New Zealand, 2018 (Hamidreza Mahroeian: The role of analytics and big data in higher education)
PhD Thesis Examination, Bharathidasan University, India, 2016 (M Anusha: Multi-objective optimization for knowledge extraction using evolutionary clustering techniques)
PhD Thesis Examination, Avinashilingam University for Women, India, 2015 (N. Umadevi: Detection of tibia diaphysis fractures in X-ray images using features and ensemble classifiers)
PhD Thesis Examination, Avinashilingam University for Women, India, 2014 (G. Geetha: Detection of epileptic seizures with electroencephalogram using enhanced signal processing)
PhD Thesis Examination, Anna University, India, 2014 (J. Shanthini: Analysis and design of grid scheduling model for independent grid tasks)
PhD Thesis Examination, Hindustan University, India 2013 (S. Madhan Kumar: eCloudIDS A security enhancement framework for cloud computing environment)
PhD Thesis Examination, Anna University, India, 2012 (V. Vijayakumar: An efficient approach based on trust and reputation for secured selection of grid resources)
PhD Thesis Examination, Sathyabama University, India 2011 (G. Meera Gandhi: Studies on Intrusion detection using data mining and prevention activities in network environments)
MSc Thesis Examination, Simon Fraser University, Canada, May 2007 (Lenny Tang: A 3-D computational model for the growth of multicellular tissues and its parallel implementation on a cluster)
MSc Thesis Examination, Simon Fraser University, Surrey, Canada, August 2005 (I-Ling Lin: Particle swarm optimization for solving constraint satisfaction problems)
PhD Comprehensive Examination, Simon Fraser University, Canada, March 2005 (David LeBlanc)

Internal Examiner at Athabasca University

MSc Examination, Athabasca University, Canada, 2021 (Jenny Lien: Utilizing Open Source Toolkits to Fight Bias in AI)
MSc Examination, Athabasca University, Canada, 2020 (Kevin Smith: Evaluating Datasets and Frameworks for Government Open Data)
MSc Examination, Athabasca University, Canada, 2019 (Rebekah Mobley-Kasner: Open Data Management and Integration)
MSc Examination, Athabasca University, Canada, 2019 (Paul Ainslie: Using visualizations to ensure privacy of healthcare data)
MSc Examination, Athabasca University, Canada, 2018 (Steven Harris: Identifying student difficulty and frustration from discussion forum postings)
MSc Examination, Athabasca University, Canada, 2017 (Clayton Clemens: A causal model of writing competence)
MSc Examination, Athabasca University, Canada, 2017 (Ireti Fakinlede: Two proposition-centric knowledge representation frames for semantic analysis)
MSc Examination, Athabasca University, Canada, 2014 (Frederique Ako-Nai: 5R Adaptive Content Creation Platform)
MSc Examination, Athabasca University, Canada, 2014 (Abiodun Ibikunle Ojo: Learner Analytics and Visualization Techniques)
MSc Examination, Athabasca University, Canada, 2014 (Anh Mac: Knowledge Management Systems Architecture: Design and Analysis)
MSc Examination, Athabasca University, Canada, 2012 (Jonathan Esterhazy: Nonparametric Topic Models for Annotated Data)
MSc Examination, Athabasca University, Canada, 2012 (Geoffrey Marshall: Automatic Twitter Topic Analysis: Analyzing Noisy Text Streams with Infinite Hidden Markov Models)
MSc Examination, Athabasca University, Canada, 2012 (Brent Gawryluik: The future of exascale systems management: an investigation into the challenges of administering extreme-scale HPC systems before the year 2020)
MSc Examination, Athabasca University, Canada, 2012 (John Karsch: Oracles for web application testing)
MSc Examination, Athabasca University, Canada, 2011 (Donovan Francis: Adaptivity and personalization in ubiquitous systems)

Research Supervision

While at Institution	Category	Supervisor (Thesis/Project)	Co-Supervisor (Thesis/Project)	Research Assistant Supervisor	Total
Athabasca University	Post-Doctoral Fellows	1	6		7
	PhD	1	5		6
	Masters	33	9	2	44
	Undergraduates (includes USRA)	19		14	33
	MITACS Globalink Interns	21			21
	MITACS Elevate Researchers	1			1
	Visiting Students			2	2
Massey University	Post-Doctoral Fellows
	PhD		1		1
	Masters	2			2
	Undergraduates
Simon Fraser University	Post-Doctoral Fellows
	PhD		2		2
	Masters	8	8		16
	Undergraduates (includes USRA)			62	62
	Others (Exchange students)			1	1
Total		86	31	81	198

Post-doctoral fellows [completed: 7; current:0]

Athabasca University, Canada

Dr. Geoffrey Glass	Data analytics in sports: junior hockey analytics	2017-2019	Supervisor
Dr. Chaohua Gong	Smart learning environments	2017-2018	Supervisor
Dr. Kannan Govindarajan	High-performance computing	2015-2017	Co-Supervisor
Dr. Junfeng Yang	Smart learning environments	2015-2016	Co-Supervisor
Dr. Moushir El Bishouty	Competence assessment in research methods	2014-2015	Co-Supervisor
Dr. Stella Lee	Self-directed learning	2014-2015	Co-Supervisor
Dr. Lanqin Zheng	Co-regulated learning	2014-2015	Co-Supervisor

PhD students [completed: 8; current: 1]

University of Eastern Finland, Finland

Richard Tortorella	Adaptive context-aware systems	2015–2018	Co-Supervisor
Geetha Paulmani	Transforming Research Culture – Measurement, analysis, and revitalization of processes and outcomes of contemporary research practices	2016–	Co-Supervisor
Rafael Pinto	Data Analytics in Educommunication of Communicable Diseases	2019-2021	Co-Supervisor

University of Alberta, Canada

Amin Mousavi

Competence assessment

2014–2015

Project Supervisor

Simon Fraser University, Burnaby, Canada

Geoffrey Glass

Culture of software

2013–2014

Project Supervisor

University of Hertfordshire, Hatfield, UK

Stella Lee

Self-directed learning

2010–2014

Co-Supervisor

Massey University, Palmerston North, New Zealand

Hiba Mustafa

Promoting novice to expert transition in diagnostic problem-solving domains

2007–2008

Co-Supervisor

Simon Fraser University, Burnaby, Canada

Stephanie Chu

Graphical navigational aids

2005–2008

Co-Supervisor

Simon Fraser University, Surrey, Canada

Andy Law

Combinatorial auction

2002–2005

Co-Supervisor

Master’s Students [completed: 56; current: 1]

Athabasca University, Canada


Eliot Aharon	Evaluating the impact of Agile Methodologies on Course Maintenance in Post Secondary Settings Supported by Generative AI	2024-	Co-Supervisor
Cameron German	Data Requirement Mining	2024-2025	Supervisor
Russell Rupok	Alberta Hydrogen Strategy and Use of Hydrogen in Transportation	2023-2025	Co-Supervisor
Tim MacArthur	Seismic Imaging in Complex Environment: implementation of Reverse Time Migration in an Iterative Structural Model-Building Workflow	2023-2025	Co-Supervisor
Twylla Soosay	Virtual spaces for learning community knowledge	2022–2026	Co-Supervisor
James Craig	Robotics in K-12 Education: Efficacy and Barriers	2022-2023	Supervisor
Nina Sebastian	Agile transformation at a Canadian Financial institution : organizational management and the measures of success	2023-2024	Supervisor
Chris Stewart	Business Intelligence Maturity Models for Higher Education Institutions	2020–2022	Co-Supervisor
Talha Jilal	Agile Development of Online Courses	2022–2023	Supervisor
Sukhleen Sodhi	Agile Learning in Online Courses	2021–2022	Supervisor
Paul Vladu	Human factors in Cloud Technology Adoption in Higher Education Institutions	2021–2022	Supervisor
Hanan Saleh	Explainable Causal Models from Time Series Data	2020–2023	Co-Supervisor
Ajibade Shodunke	Data Privacy Exchanges	2020–2023	Supervisor
Wesley Sauder	Facial Expression Analytics	2020–2022	Co-Supervisor
Bao Quyen Tang	Machine Learning in Healthcare Analytics of Communicable Diseases	2019-2020	Supervisor
John Liaukonis	Hyper converged Infrastructure versus Three-tier Architecture	2020-2020	Supervisor
Devan Mitchell	Development and Evaluation of an Augmented Reality Assistance Application for Library Staff	2020–2021	Supervisor
Paul Ainslie	Using visualizations to ensure privacy of healthcare data	2019–2019	Supervisor
Eric Pelletier	Health Privacy, Informed Consent and De-Identification	2018–2019	Supervisor
Bruce Davidson	Visualizing Healthcare Benefits through IS-Impact Model	2017–2018	Co-Supervisor
Daniel Venne	Video Analytics	2016–2021	Supervisor
Joel Burrows	Music Analytics	2016–2018	Supervisor
Miao-Han Chang	Clustering of annotations in online reading	2016–2019	Co-Supervisor
Bertrand Sodjahin	Machine Learning techniques to unveil and understand Pseudomonas Aeruginosa survival mechanism in nutrient depleted water	2014–2019	Supervisor
Alex Colic	Enhancing search in enterprise content management systems with social tagging and semantic analysis	2013–2014	Supervisor
Judy Vathallor	Big data learning analytics in MOOC	2012–2014	Supervisor
Lorna Brown	Dashboards for learning analytics	2012–2014	Supervisor
Rahim Virani	Big data platform for analytics	2012–2015	Supervisor
Diane Mitchnick	Healthcare analytics	2011–2019	Supervisor
Lino Forner	Assessing instructional design of online courses	2010–2013	Supervisor
Steve Kalmar	Student attrition in computer science courses: issues and guidelines	2010–2013	Supervisor
Ireti Fakinlede	Two Preposition-Centric Knowledge Representation Frames for Semantic Analysis	2010–2017	Supervisor
Steven Harris	Identifying student difficulty and frustration from discussion forum postings	2010–2018	Supervisor
Clayton Clemens	A causal model of writing competence	2010–2017	Supervisor
Kevin Haghighat	Regulating debugging competency using coding analytics	2009–2015	Supervisor
Rohit Chugh	Managing SOA and MDA	2009–2011	Supervisor
Buvana Sankar	Data warehousing in Informatica	2009–2010	Supervisor
Walter Ridgewell	Determination and exploitation of security vulnerabilities in networked game devices	2008–2011	Supervisor
Munir El Kadi	Automated assessment of instructional design of online courses	2008–2011	Supervisor

Massey University, Wellington, New Zealand

David Brokenshire	Discovering causal models of self-regulated learning	2007-2008	Supervisor
Liam Doherty	Writing Analytics	2007-2008	Supervisor

Simon Fraser University, Surrey, Canada

David Brokenshire	Discovering causal models of self-regulated learning	2004-2007	Supervisor
Shilpi Rao	Model tracing of coding styles of programmers: A formative approach	2003-2007	Co-Supervisor
Baljeet Dhaliwal	Interoperability in LMS	2004-2006	Supervisor
Jonathan Hatol	Movement ontology	2003-2006	Supervisor
John Chan	Social user interfaces in Simulation and Advanced Gaming Environments	2004-2006	Supervisor
Wenting Ma	Pedagogical metadata for learning objects	2003-2006	Co-Supervisor
Timmy Eap	Modifying topologies of Peer-to-peer network to facilitate community exchange	2005-2006	Co-Supervisor
Yufen (Tina) Jiang	Performance evaluation of SIP based conferencing architecture over the IEEE 802.11 network	2004-2006	Co-Supervisor
Jurika Shakya	Knowledge Engineering and Knowledge Dissemination in Mixed-Initiatives	2002-2005	Supervisor
Alain Deschenes	Bioinformatics – Structure prediction and visualization of biomolecules	2002-2005	Co-Supervisor
Andrew Choi	Towards Browsing Distant MetaData with Semantic Signature	2002-2005	Co-Supervisor
Lai Kuen	Ontological Model for Representation of Learning Objectives	2002-2005	Co-Supervisor
Rui Wang	Conducting Learning Object Review using an Iterative Model	2002-2005	Co-Supervisor
Behzad Samin	Effects of Self-Regulated Learning in programming	2002-2004	Supervisor
Kate Han	Learning object quality rating using BBN	2002-2004	Supervisor
Jean Jiang	Multimedia in wireless communication	2001-2002	Supervisor

Mitacs Researchers [completed: 21; current: 0]

Ansh Bomb	Higher Education and the Fourth Industrial Revolution in Citizen Engagement and Environmental Data Analytics	2024	Supervisor
Deepti Khond	Spatial AI and Learning Analytics in Citizen Engagement and Environmental Data Analytics	2024	Supervisor
Sami Benamira	Spatial AI and Learning Analytics in Citizen Engagement and Environmental Data Analytics	2024	Supervisor
Anand Choubey	Blockchains for Data Storage and Mining in Learning Analytics	2023	Supervisor
Nitin Sengar	Learning Analytics: Mathematics problem solving	2023	Supervisor
Yusuf Khan	Higher Education and the Fourth Industrial Revolution	2023	Supervisor
Divyangi Singh	Higher Education and the Fourth Industrial Revolution	2022	Supervisor
Pragya Gupta	Blockchains for Data Storage and Mining in Learning Analytics	2022	Supervisor
Ayanava Bagchi	Learning Analytics: Mathematics Problem Solving	2022	Supervisor
Abhinav Anand	Blockchains for Data Storage and Mining in Learning Analytics	2021	Supervisor
Abhaya Kirtivasan	Coding Analytics – User Acceptance	2021	Supervisor
Shiksha Rawat	Learning Analytics – Coding (online)	2020	Supervisor
Chinmay Agarwal	Road traffic analytics	2018	Supervisor
Lachlan Gepp	Traffic flow optimization	2016	Supervisor
Dai Qichun	Traffic analytics with distributed BBN	2015	Supervisor
Qingfeng Du	Interactive interfaces for self-regulation	2014	Supervisor
Liao Ming	Traffic analytics using BBN	2014	Supervisor
Marcello Vilela	Data analytics – in learning and in traffic	2013	Supervisor

Mitacs Elevate Researchers [completed: 1; current: 0]

Dr. Geoffrey Glass

Data analytics in sports: junior hockey analytics

2017-2019

Supervisor

Graduate Students/Research Assistants [completed: 4; current 0]

Athabasca University, Canada

Hanan Saleh	Developing content for Advanced Data Analysis (Data 460)	2024-2024
Hanna Davidson	Developing Strategic Plans	2023-2024	Supervisor
Vahid Bahreman	Measuring research productivity	2015-2017	Supervisor
Joseph Glenn Irwin	Automating Propensity Score Analysis	2015-2016	Supervisor

Undergraduate Students/Research Assistants [completed: 32; current: 0]

Athabasca University, Canada

Virgil Montague	Developing content for Data Preprocessing (Data 400)	2024-2024	Supervisor
David Boulanger	Explainable AI	2023-2024	Supervisor
Frederic Devost	Data Analysis for DRMIS (Defence Resource Management Information System) and	2023-2023	Supervisor
Chris Cameron	Not-a-Mesh Mesh	2022-2023	Supervisor
Jamie Craig	STEM and Robotics: an analysis at the Calgary Board of Education	2023-2023	Supervisor
Max Vacca	Data curation in learning analytics	2021-2022	Supervisor
Jessica Leska	Industry coop – software development	2021-2022	Supervisor
Andrew Slade	Industry coop – software testing	2021-2022	Supervisor
Jay Wickrama	Learner Satisfaction in Technology-Enhanced Marking in Higher Education	2021-2022	Supervisor
Jesse Divel	Personalized User Interfaces for AI Applications	2021-2022	Supervisor
Will Harper	BlocMedi: a new blockchain database implementation to provide a secure, immutable record of events in healthcare	2020-2021	Supervisor
Craig Leavitt	Applying an AI constraint solver for sprint planning optimization	2020-2020	Supervisor
Dawna Chard	Microservices and Modules in Refactoring	2020-2021	Supervisor
James Porter	Uncertainty Analysis and Objective Functions for Genetic Algorithms	2020-2021	Supervisor
Colin Pinnell	COMP 495: MORPH Refit COMP 496: Interaction Data in Online Learning (IDOL)	2019-2019	Supervisor
Shane Lewans	COMP 495: Formative estimates of quality fluctuations in an online course	2018–2019	Supervisor
Joshua Kaluba	COMP 495: An open-source internet connected home security framework	2018-2018	Supervisor
Bruce Mendrikis	COMP 495: Forecasting player performance in National Hockey League	2018-2018	Supervisor
Claudia Guillot	Music analytics	2014–2020	Supervisor
Marc-André Dionne	Sensors for analytics	2015–2017	Supervisor
Daniel Jacques	Security in analytics	2015–2017	Supervisor
Isabelle Guillot	Agile applied in industry-academia research collaborations & User experience for LA tools	2014–2020	Supervisor
Rébecca Guillot	Augmented reality & Math analytics	2014–	Supervisor
Josué Seanosky	TKS knowledge structures	2014–2014	Supervisor
Colin Pinnell	Big data standardization	2014-2020	Supervisor
Jason Bell	Continuous data collection and feedback	2014–2017	Supervisor
Lola Fakinlede	Web culture and culture of software	2013–2014	Supervisor
Mukund Krishnan	Code metrics in learning analytics	2013–2014	Supervisor
Jérémie Seanosky	Sensors and dashboards	2013–2020	Supervisor
David Boulanger	Big data learning analytics: Data traffic	2012–2020	Supervisor
Sheldon Chomiak	Coding processes of programmers	2012–2013	Supervisor
Daniel Hamacher	Learning traces in cognitive tutors	2012–2013	Supervisor

Visiting Students/Research Assistants [completed: 3; current: 0]

Alfonso Castillo University of Chile, Chile	Problem-solving analytics	2014-2014	Supervisor
Kannan Govindarajan Anna University, India	Learning analytics for engineering students	2012-2013	Supervisor
Samir Menon Indian Institute of Information Technology	Sustainable learning ecosystem	2005-2005	Supervisor

Administrative Research Assistants [completed: 4; current: 0]

Hannah Macdonald-Kermode	ARBRI, Mitacs, & AU Lab	2022-2023	Supervisor
Hanna Garvey	ARBRI & Mitacs	2022-	Supervisor
Kannan Govindarajan Anna University, India	Learning analytics for engineering students	2012-2013	Supervisor
Samir Menon Indian Institute of Information Technology	Sustainable learning ecosystem	2005-2005	Supervisor

Awards to Students Under my Supervision at Athabasca University

Tim MacArthur, Alberta Innovates Graduate Student Scholarship, 2023-2025, $52,000
Daniel Jacques, Undergraduate Student Research Award, 2017-2018, $10,175
Bertrand Sodjahin, Profiling Alberta’s Graduate Students Award, 2017, $2,500
Bertrand Sodjahin, Profiling Alberta’s Graduate Students Award, 2017, $800
Bertrand Sodjahin, 2017–3MT Internal Competition, 2017, $500
Diane Mitchnick, 2017–3MT Internal Competition, 2017, $250
Daniel Venne, Queen Elizabeth II Graduate Scholarship, 2017, $4,230
Diane Mitchnick, Athabasca University Graduate Student Research, 2017, $1,284
Bertrand Sodjahin, Access to Research Tools Award, 2016, $500
Bertrand Sodjahin, Excellence in Research Scholarship, 2016, $3,000
Colin Pinnell, Undergraduate Student Research Award, 2016, $10,175
Jason Bell, Undergraduate Student Research Award, 2016, $10,175
Bertrand Sodjahin, Alberta Innovates Technology Futures Scholarship, 2016-2018, $10,000
Bertrand Sodjahin, Profiling Alberta’s Graduate Students, 2016, $1,800
Bertrand Sodjahin, Athabasca University Graduate Student Research, 2016, $1,265
Steven Harris, Alberta Innovates Technology Futures, 2015-2017, $20,000
Colin Pinnell, Undergraduate Student Research Award, 2015, $9000
Bertrand Sodjahin, Athabasca University Graduate Student Research, 2015, $1,000
David Boulanger, Undergraduate Student Research Award, 2014, $9,000
Diane Mitchnick, Alberta Innovates Technology Futures, 2014, $20,000
David Boulanger, Undergraduate Student Research Award, 2013, $9,000
Ireti Fakinlede, Alberta Innovates Technology Futures, 2013, $20,000

6. Teaching

Athabasca University, CANADA (2008 – Present)

Course Instructor (both Online and Blended-Online courses)

No.	Title	Credits	Duration
COMP 697-699	Integration Project I/II/III	9	2009–present
COMP 696	Master’s Essay	3	2008–present
COMP 695	Research Methods in Information Systems	3	2012–present
COMP 692	Independent Study	3	2019–present
COMP 684	Business Intelligence	3	2013–2023
COMP 683	Introduction to Learning and Knowledge Analytics	3	2014–2023
COMP 676-680	Integration Thesis	15	2010–present
COMP 657	Artificial Intelligence: Principles and Techniques	3	2012–2013
COMP 504 COMP 498-499	Object Structure and Programming Independent Study I & II	3 6	2008–2013 2020–
COMP 495-496	Computer and Information Systems Project, I/II	6	2008–present
COMP 494	Research Methods	3	2011–present
COMP 466	Advanced Technologies for Web-Based Systems	3	2010–2012
COMP 456	Artificial Intelligence	3	2008–2009
COMP 382	3D Programming in Java	3	2010–2013
COMP 347	Computer Networks	3	2010–2013
COMP 308	Java for Programmers	3	2017–present
COMP 272	Data Structures and Algorithms (Java)	3	2008–2013
COMP 268	Introduction to Computer Programming (Java)	3	2009–2015
COMP 230	Storyboard Design and Development	3	2014–2015

New Courses Designed & Developed – both Online and Blended-Online courses

DATA 300	Introduction to Data Science	3	In prep
DATA 400 DATA 460	Data Preprocessing: Elements and Techniques Advanced Topics in Data Analytics	3 3	In prep In prep
COMP 308	Java for Programmers	3	2021
COMP 695	Research Methods in Information Systems	3	2013, 2022
COMP 684	Business Intelligence	3	2013
COMP 494	Research Methods	3	2009, 2022
COMP 382	3D Programming in Java	3	2011
COMP 272	Data Structures and Algorithm (Java)	3	2012
COMP 272	Data Structures and Algorithm (language neutral)	3	2013
COMP 268	Introduction to Computer Programming (Java)	3	2011, 2013
COMP 230	Storyboard Design and Development	3	2013
LBUI 584 Microcred Microcred	Business Intelligence AI & Ethics Explainable AI	1 1 1	2014 2021 2022

Massey University, Wellington, New Zealand (2006 – 2008)

Courses Designed, Developed and Taught

158.359	Human-Computer Interaction	3	2008
159.358	Computer Graphics and Visualization	3	2008
161.326	Statistical Machine Learning	3	2008
159.302	Artificial Intelligence	3	2006–2007
216.282	Computer Architecture and Program Design	3	2007–2008
159.254	Software Engineering A	3	2007–2008
159.202	Declarative Programming	3	2007–2008

Curriculum development at Open University of Sri Lanka (2006)

Courses Designed and Developed

No.	Title	Credits	Duration
OUSL-ID	Foundations of Instructional Design	3	2006
OUSL-IST	Foundations of Information Systems & Technology	3	2006
OUSL-RM	Research Methods	3	2006
OUSL-TPOL	Theory and Practice of Online Learning	3	2006
OUSL-TEET	Teacher Educator as an Educational Technologist	3	2006
OUSL-MET	Mastering Educational Technology	3	2006
OUSL-DDE	Designing for Digital Education	3	2006

Simon Fraser University, Surrey, Canada (2001 – 2006)

Courses Designed, Developed and Taught – In-Class & Blended-Online

No.	Title	Credits	Duration
IAT 883	Mixed-Initiative Interactions and Interfaces	3	2005
IAT 800	Foundations of Computing	3	2004–2005
ITEC 699	Very Large-Scale Modelling (directed studies)	3	2003
ITEC 697-2	Soft Computing (directed studies)	3	2003
ITEC 694	Advanced Topics in Wireless Communications	2	2003
ITEC 697-1	Software Engineering Education (directed studies)	3	2003
ITEC 693	Foundations in Information Technology (taught)	1	2003
ITEC 696	Readings in Wireless Communication	2	2002
ITEC 695	Readings in Advanced Networking Protocols	2	2002
ITEC 610	Wireless Communication	1	2002
ITEC 609	Advanced Networking Protocols	1	2002
ITEC 603	Distributed Operating Systems	1	2001
ITEC 495	Directed Project	3	2002–2003
ITEC 491/2/3	Wireless Communication	3	2003
ITEC 494	Wireless Computing	1	2003
ITEC 404/5/6	Advanced Computing	3	2003–2005
ITEC 313	Systems Engineering	1	2001–2004
ITEC 314	Systems Development	1	2001–2004
ITEC 331/2/3	Computer Networks	3	2001–2002
ITEC 223	Introduction to Information Theory	1	2001–2002
ITEC 224	Integrated Data Services and Networks	1	2001–2002

University of Saskatchewan, Saskatoon, Canada

Course Taught

CMPT 100	Introduction to Computer Science	3	1997–1998

7. Education

2001, June Ph.D. Computer Science, University of Saskatchewan, Canada (Best Graduating Student)

1990, May M.C.A. Computer Science Applications, Bharathiar University, India (Rank 1)

1987, May B.Sc. Physics (Mathematics & Chemistry minors), Bharathiar University, India (Rank 3)

8. Awards, prizes and honours

2019 Emerald Literati Award, Emerand Publishing

2001 Best Computer Science Graduate Award of 2001 at the University of Saskatchewan

1997 Best Paper Award for Collins J.A., Greer J.E., Kumar, V.S., McCalla G.I., Meagher P., Tkatch R. (1997), Inspectable User Models for Just-In-Time Workplace Training.UM’97, International Conference on User Modeling, pp. 327–337

1995 NSERC Graduate Scholarship, University of Saskatchewan

1992 Fellow of the United Nations Development Program, Learning Research and Development Centre, University of Pittsburgh, PA, USA

1990 First Rank, Master of Computer Science Application, University Campus, Bharathiar University, India

1987 Third Rank, Bachelor of Science students at P.S.G. College of Arts & Science, Bharathiar University, India

9. Other academic merits

Academic Councils & Committees / Previous Work Experience

Committees at Thompson Rivers University, Canada

2024- DSALT Data Stewardship and Analytics for Learning and Teaching Working Group
2024- Academic Integrity Committee
2025- TRUOLFA Bargaining Committee
2025- OLCPG – Open Learning Curricululm Planning Group

Committees at Athabasca University, Canada

2022-2023 IDEA Lab Champion, IDEA Lab Steering Committee
2022-2023 Coordinator, Major Innovation Funding (MIF) grants at AU
2021 Member, Presidential Search Advisory Committee
2021-2024 Chair, Integrated Learning Environment (ILE) Academic User Group
2021-2024 Member, Research Information Management Systems Selection Committee
2021-2024 Member, Integrated Learning Environment (ILE) Steering Committee
2021-2024 Member, SCIS PhD Program Proposal Committee
2021-2023 Member, IDEA Steering Committee, Research Centre
2020-2021 Member, AU Research Strategy Advisory Group (RSAG)
2020-2023 Member, AU Canada Research Chairs (CRC) Advisory Committee (CRC)
2021 – 2023 Member, FST Program Development Working Group (PDWG)
2020-2023 Member, General Faculties Council (GFC)
2020-2021 Co-Chair, GFC Committee on Internationization (GFCAHI)
2019–2022 Member, GFC Academic Planning, Policy, and Standards Committee
2019 Member, Advisory Committee for Reappointment of the President (ACPR)
2017–2018 Member, Learning Conference Planning Committee
2015 Member, Enrolment Committee
2015 Chair, Alberta Innovates Technology Futures Application Review Committee
2014–2015 Member, University Budget Committee
2014–2015 Member, Student Relationship Management Committee (SRM)
2014–2015 Member, Pedagogy and Research SAG committee
2014–2016 Member, Middle States Commission on Higher Education (MSCHE) Periodic Review Report (PRR) Committee
2014–2015 Member, Associate Vice President Research (AVPR) Search Committee
2014 Member, Applied Research and Innovation Steering Committee
2013-2014 Member, Academic Standards Committee
2013-2015 Chair, Research Ethics Board
2013-2014 Program Director, FST Undergraduate Program Council
2013- Member, FST Graduate Program Council
2012–2013 Chair, FGS Student Conference IT Committee
2012 Member, FST Promotions Committee
2011–2013 Member, Wellness Committee
2010–2012 Member, PMRI research institute
2009–2012 Member, Research Ethics Board
2009–2010 Member, Faculty Selection Committee
2009 Member, Learning Service Conference

Committees at Massey University, New Zealand

2007 “What is CS” committee
2007 Staff/Student Liaison Committee
2007 Paper Moderator Committee
- 159.351 Software Engineering B
2006 Marking Committee for Honours projects
- Horse Racing Results Prediction (Aaron Bishell, Neural Networks)
- Self-Organising Music (James Lawrence, Neural Networks)
- Authoring System for Leopard Tutor (Glenn Conner, ITS)

Committees at Open University of Sri Lanka (deputation from Simon Fraser U.)

2006 Consultant, Instructional Design and Development Committee

Committees at Simon Fraser University, Canada

2005–2006 Member, Governance Committee, Interactive Arts & Technology
2004–2005 Member, British Columbia Cross Sector Portfolio Working Group
2004–2006 Co-Director, InfoNetMedia Centre, Surrey Campus
2004–2005 Co-Chair, Joint Health and Safety Committee, Surrey Campus
2004–2005 Member, Joint University Safety Committee
2004–2005 Member, Steering Committee, TR Labs Implementation
2003–2004 Member, Learning Management System Selection Committee
2003–2005 Member, International Student Exchange Committee
2003–2004 Faculty representative (SFUFA), Occupational Health and Safety (OH&S) Joint Safety Committee, Surrey
2003–2006 Member, Recreations and Athletics Faculty Advisory Committee
2003–2004 Member, Graduate Admissions Committee, Surrey (GAC)
2002–2004 Member, Occupational Health & Safety Committee
2002–2003 Member, Faculty/Staff Selection Committee
2002–2003 Member, Long Term Planning Committee
2002 Member, Vision of School Committee

Committees at Technical University of British Columbia, Canada

2004–2006 Manager, Courses Development Cluster
2003-2004 Member, Undergraduate Curriculum Revision Committee
2002-2006 Member, InfoNetMedia Cluster
2003-2005 Member, Design Cluster
2003-2006 Member, Knowledge Management Cluster
2002-2006 Member, Technology-Mediated Learning Cluster

Academic Doctoral Program Collaboration

2021 – Member, Panel of Experts, Board for PhD Thesis Evaluation, Avinashilingam

Institute for Home Science and Higher Education for Women, India.

2009 – 2014 External doctoral thesis reviewer, Anna University, India

Research Collaboration At Athabasca University and other Universities

Sep 2021 – Jun 2024 Thiru Valluvar University, India – Coding Analytics
Jun 2020 – 2021 Birla Institute of Technology, India – Coding Analytics
May 2017–Jan 2018 Athabasca University – Coding Analytics (JAV.AU)
Aug 2015–June 2016 VNRVJ Institute of Engineering and Technology, India – Writing Analytics
Jan 2011–2015 Anna University, India – Coding Analytics
Sep 2014–Sep 2018 Co-supervision – Centre for Science, Athabasca U. – Bioinformatics
Sep 2014–2015 Co-supervision – Health Disciplines, Athabasca U. – Healthcare analytics
2012–2016 With Beijing Normal University – Big Data Learning Analytics
2012–2016 With University of Chile – Big Data Learning Analytics
2014–2015 U. Calgary and U. Lethbridge, Integrated Professional Skills Program

Research Visits (Since 2008)

2023 Avinashilingam Women’s University, Coimbatore, India
2022 Avinashilingam Women’s University, Coimbatore, India
2019 Thiruvalluvar University, Serkadu, India
2018 Vienna Boys’ Choir, Vienna, Austria
2017 Vienna Boys’ Choir, Vienna, Austria and Vitznau, Switzerland
2016 Vienna Boys’ Choir, Vienna, Austria and Vitznau, Switzerland
2016 McGraw-Hill Education, New York, USA
2016 Vellore Institute of Technology, Chennai, India
2015 McGraw-Hill Education, Boston, USA
2015 Anna University, Chennai, India
2015 Indian Institute of Information Technology, Hyderabad, India
2014 McGraw-Hill Education, Boston, USA
2014 University of Chile, Santiago, Chile
2013 Anna University, Chennai, India
2013 Beijing Normal University, China
2012 Anna University, Chennai, India
2010 Hindustan University, Chennai, India
2010 Bharathiar University, Coimbatore, India
2009 MIT Campus, Anna University, Chennai, India

Research Group Membership (Since joining Athabasca Univ. in 2008)

2014 onwards WestGrid, Canada
2013 onwards Digital Research Alliance of Canada / Compute Canada

Professional Membership

2020–2025 World Economic Forum
2013–2024 Executive Member, Intl. Association of Smart Learning Environment
2012–2015 CIRPA-ACPRI Institutional Research Association – Member
2011–2015 CAREB-ACCER Research Ethics – Member
2007–ongoing IEEE – Senior Member, Institute of Electrical and Electronics Engineers
2003–2007 AERA – Member, American Educational Research Association
2003–2006 STLHE – Society for Teaching and Learning in Higher Education
2001–2006 ACM – Member, Association of Computing Machinery
1997–2007 IEEE – Member, LTSC Learning Technology Standards Committee
1995–ongoing AIED – Member, Artificial Intelligence in Education

Reviewer for Research Funding Agencies

2022–2024 The Dutch Research Council, Netherlands
2013–2016 Shastri Indo-Canadian Institute Grants, Canada
2002– NSERC Discovery Grants, Canada

Editorial Involvement

2023- Review Editor, Frontiers in Public Health – Digital Public Health
2016–19, 2021 TCLT Chair, IEEE SIG on Big Data in Education and Learning Analytics
2016–2024 Editorial Board Member, IEEE Bull. of the Tech. Comm. on Learning Technology
2014–2024 SLI – Associate Editor, Smart Learning Environments (Springer Nature)
2013–2015 IJDET – Associate Editor, I. J. of Distance Education Technologies
2014–2017 J.UCS – Associate Editor, Journal of Universal Computer Science

Journal/Book/Conference Reviewer

International Conferences Reviewer (since 2008)

EDM – Educational Datamining
C&AE – Content & Activity Engineering
ICALT – Advanced Learning Technologies
ICSLE – Smart Learning Environments
ITS – Intelligent Tutoring Systems
SE@VBL – Smart Environments and Analytics on Video-Based Learning
T4E – Technology for Education
ICWL – Web-based Learning
IWLA – Workshop on Learning Analytics
IxD&A – Interaction Design & Architecture
SITIS – Signal-Image Technology & Internet-Based Systems
SPeL – Workshop on Social and Personal Computing for Web Supported Learning Communities
WSCE – Workshop on Social Computing in Education
USAB – Human Computer Interaction and User Experience, Austrian Computer Society
ICTEE – Technology-Enabled Education
IGnC – Grid and Cloud Computing
ICoAC – Advanced Computing
AIED – Artificial Intelligence in Education
UM – User Modelling
CSCL – Computer-Supported Collaborative Learning
KBCS – Knowledge-Based Computer Systems
ICCE – Computers in Education
ICET – Education and Technology
DULP – Workshop – Design Centered & Personalized Learning in Liquid & Ubiquitous Learning Places

Journal Reviewer

PLOS ONE – Public Library of Science
ET&S – Educational Technology and Society
ETR&D – Educational Technology Research and Development
IJDET – Distance Education Technologies
IJCITAE – Computers, Information Technology and Education
UMUAI – User Modelling and User-Adapted Interaction
IJAIED – Artificial Intelligence in Education
Computers in Education
IEEE TLT
IJSLE – Smart Learning Environments

Conference Organizing Chair

ITS 2020 – Program Committee Chair
iLRN 2020 – Organizing Chair, International Co-Chair (North America)
ICALT 2019 – Organizing Chair – Conference track chair for Big Data in Education and Learning Analytics
ICSLE 2019 – Workshop/Panel Chair
ICALT 2018 – Organizing Chair – Conference track chair for Big Data in Education and Learning Analytics
ICSLE 2018 – Workshop/Panel Chair
ICALT 2017 – Organizing Chair – Conference track chair for Big Data in Education and Learning Analytics
ICALT 2016 – Organizing Chair – Conference track chair for Big data in Education and Learning Analytics
ICALT 2015 – Organizing Chair – Conference track chair for Big data in Education and Learning Analytics
ICSLE 2015 – Publicity Chair
ICALT 2014 – Organizing Chair – Conference track chair for Big data in Education and Learning Analytics
ICSLE 2014 – Program Chair

10. Scientific and societal impact of research

Member, International Research Advisory Board, KSR College of Engineering, Tiruchengode, TN, India, 2024-2026.
Curriculum designer, Nîyâkahpisôwin Network Administration Certificate, Infused with Indigenous perspectives learned from Indigenous knowledge holders of the Maskwacis communities in Alberta, Canada.
Director, Board of Directors of ELIXR Simulations, a non-profit entity that aims to realize human potential by enabling mainstream adoption of XR technology.
4IR Robotics, Computing and Coding STEM summer camp for children in grades 4, 5 and 6.
A spin-off company named Smart Informatics Limited (http://smart-informatics.com) was formed in 2014 to promote, market, and study the infusion of learning analytics in higher education and K-12. I am one of the founder Directors and presently the President/CEO of this company.
A patent application on a Real Time Video Analytics innovation is being prepared in collaboration with researchers from Athabasca University, Canada, and the University of North Texas, USA.
Robotics camp for indigenous children in Edmonton, AB, Canada.

11. Positions of trust in society

International

PanAmerican accredited umpire with the Badminton World Federation, 2014–2016

National

Umpire, Badminton Canada National Official, Canada, 2010–2016
NCCP Level 2 Coach, Badminton, Canada, 2003–2004, 2010–2015

Provincial

2017–2023 President, Racquet Sports Association of Yellowhead, Canada
2014–2023 President, Badminton Beaumont, Beaumont, Canada
2013–2014 President, Edmonton District Badminton Association, Edmonton, Canada
2014–2020 Member, Parents Advisory Committee, Bellevue School, Beaumont, Canada
2013–2016 Secretary, Badminton Alberta, Canada
2009–2013 Booking Officer of Facilities, Edmonton District Badminton Association, Canada
2008–2012 Executive Committee Member, West Edmonton Junior Badminton Club, Canada
2008–2012 Executive Committee Member, West Edmonton Badminton Club, Canada
2009–2024 Member, Edmonton Tamil Cultural Association, Edmonton, Canada
2007–2009 Executive Committee Member, Wellington Badminton Club, New Zealand
2003–2005 Volunteer – Technology Lecture Series for Seniors in Surrey and Newton, Canada

City

2009–2014 Member, Gym Users Committee, City of Edmonton, Edmonton, Canada
2020–2021 Member, Recreation, Parks and Culture Advisory Committee, Beaumont, Canada

12. Industry related Merits

Industry work experience

Nov 1999–Dec 2000 Systems Analyst, International Road Dynamics Inc., Saskatoon, Canada
Jul 1994–Nov 1994 Senior Software Engineer, Axes Technologies, Dallas, TX, USA

Industry / NGO Collaboration (Since 2008)

2020-2024 with ELIXR Simulations, Edmonton, Canada
2017-2020 With CNRL, Canada – Knowledge traces of trainee competences within 3D virtual reality and augmented reality testing and training environments
2017-2020 With 87 Inc., Canada – Sensor-based skill recognition of junior hockey players
2015-2016 With Microsoft Inc., USA –Azure in Open Learning Analytics

2015-2024 With MpF, Switzerland – Music Teaching Analytics
2015–2019 With IMS Global, USA – Open Learning Analytics Platform
2014–2018 With McGraw-Hill Education, USA – Big Data Learning Analytics
2014–2015 With Rotary International, Dharapuram, India
2014–2017 With Xerox Inc., Canada – Ubiquitous computing
2014– With ComputeCanada, Canada – High performance computing
2014–2020 With Albatross Gaming Inc., Canada – Big Data Game Strategy Analytics
2014–2015 With Troglo Inc., Canada – Big Data Analytics for Demography prediction
2013– With WestGrid, Canada – High performance computing
2013–2024 With Cybera, Canada – High performance computing
2012–2020 With Canadian Natural Resources Limited – AR/VR Training Analytics
2012–2013 With Shastri Indo-Canadian Institute – Big Data Learning Analytics
2012–2015 With ARBRI – Athabasca River Basin Research Institute volunteer

13. Publications

Books

(Published: 3)

Kumar, V.S., P. Ganesan, Paulmani Geetha, Deeba Sudha (2026). Our Machine Learning : an story-based introduction to machine learning for students in grades 6 and upwards. Open Source.
Kumar, V.S. Troussas, C. Proceedings of Intelligent Tutoring Systems, 16th International Conference, ITS 2020, Athens, Greece, June 8–12, 2020 (held online due to covid-19), Springer.
Spector, J.M., Kumar, V.S., Essa, A., Huang, Y-M., Koper, R., Tortorella, R.A.W., Chang, T-W., Li, Y., Zhang, Z. (2018). Frontiers of Cyberlearning: Emerging technologies for teaching and learning. Springer Singapore, https://doi.org/10.1007/978-981-13-0650-1.
Kumar, V.S. & Lin F. (2013). System and technology advancements in distance learning. Hershey, PA: IGI Global. doi: 10.4018/978-1-4666-2032-2

Refereed Book Chapters

(Published: 21)

Boulanger, D., Kumar, V.S. (2024). Explainable AI and AWE: Balancing Tensions Between Transparency and Predictive Accuracy. In Wilson, J., Shermis, M. (eds) The Routledge International Handbook of Automated Essay Evaluation (pp. 445-468). Routledge Publishing. https://doi.org/10.4324/9781003397618.
Yuen, L., Graf, S., Kumar, V.S. (2024, accepted for publication). Personalization and learning analytics for science education. In: Kennepohl, D. and Shaw, L. (Eds) Accessible Elements 2^nd Edition, AU Press.
Saleh, H., Carrero, G., & Kumar, V. S. (2023). Using Causal Inference in Learning Processes to Predict Student Proficiency. In G. Durak & S. Cankaya (Eds.), Perspectives on Learning Analytics for Maximizing Student Outcomes (pp. 188-207). IGI Global. https://doi.org/10.4018/978-1-6684-9527-8.ch010.
de Freitas, I., Lima, T.S., González, M.O.A., de Oliveira, C.A.P., de Medeiros Valentim, R.A., Coutinho, K.D., de Pinho Dias, A., de Graça Dias do Carmo Trindade, S.M., Moreira, J.A., Alcoforado, J.L.M., de Oliveira, C.P., de las Heras, J.A.J., Nuñez, L.S., de Sousa Lacerda, J., Lorite-García, N., da Silva Barros, D.M., Cruz, A.S., Rego, M.C.F.D., Nachif, M.C.A., de Azevedo Tinoco, J., de Carvalho Araújo Lima, C., do Nascimento Batista, N.A., Kumar, V.S., Pinto, R., de Morais, P.S.G., da Silva, R.D., Roussanaly, A., Boyer, A. (2023). Cooperação Técnica Internacional em Saúde no Âmbito do Projeto “Sífilis Não”. In Valentim, R., Lacerda, J., Coutinho, K., Dias, A.P., Alberto, C., Rêgo, C., Espinosa, A., Pereira, G., Rodrigues, J. (Editors), SÍFILIS RESPOSTA A PARTIR DE ABORDAGENS POR MÚLTIPLAS DIMENSÕES (Syphilis: Response Through a Multidimensional Approach), available at: https://repositorio.ufrn.br/handle/123456789/51166, pp: 14-58, ISBN: 978-65-5569-289-1.
Boulanger D., Clemens C., Seanosky J., Fraser S., Kumar, V.S. (2019) Performance Analysis of a Serial Natural Language Processing Pipeline for Scaling Analytics of Academic Writing Process. In: Sampson D., Spector J., Ifenthaler D., Isaías P., Sergis S. (eds) Learning Technologies for Transforming Large-Scale Teaching, Learning, and Assessment (pp. 123-151). Springer, Cham.
Clemens, C., Kumar, V.S. Boulanger, D., Seanosky, J., Kinshuk. (2018). Learning traces, competence assessment, and causal inference for English composition. In J.M. Spector, V.S. Kumar, A. Essa, Y-M. Huang, R. Koper, R.A.W. Tortorella, T-W. Chang, Y. Li, Z. Zhang (Eds.), Frontiers of Cyberlearning: Emerging technologies for teaching and learning. Springer Singapore, https://doi.org/10.1007/978-981-13-0650-1, pp: 49–67.
Kumar, V.S., Kinshuk, Pinnell C., Paulmani G. (2018) Analytics in Authentic Learning. In: TW. Chang, R. Huang, Kinshuk (Eds.) Authentic Learning Through Advances in Technologies. Lecture Notes in Educational Technology (pp. 75–89). Springer, Singapore. https://doi.org/10.1007/978-981-10-5930-8_6
Pinnell, C., Paulmani, G., Kumar, V.S., Kinshuk. (2017). Curricular and learning analytics: a big data perspective. In Kei Daniel B. (Ed.), Big Data and Learning Analytics in Higher Education, (pp. 125–145), Springer, Cham. DOI: 10.1007/978-3-319-06520-5_9
Seanosky, J., Boulanger, D., Pinnell, C., Bell, B., Forner, L., Baddeley, M., Kinshuk, Kumar, V.S. (2016). Measurement of quality of a course: Analysis to Analytics. In B. Gros, Kinshuk, M. Maina (Eds.), the future of ubiquitous learning: learning designs for emerging pedagogies, (pp. 199–216), Berlin, Germany: Springer Berlin Heidelberg. DOI: 10.1007/978-3-662-47724-3_11
Guillot, C., Guillot, R., Kumar, V.S. & Kinshuk (2015). Enhancing Music Prowess through Analytics. In M. Chang, & F. Al-Shamali (Eds.), 2015 Proceedings of Science and Technology Innovations (pp. 93–104). Faculty of Science and Technology, Athabasca University, Canada.
Guillot, R., Boulanger, D., Seanosky, J., Kumar, V.S. & Kinshuk (2015). Enhancing Mathematical Problem-Solving Experiences through Learning Analytics. In M. Chang, & F. Al-Shamali (Eds.), 2015 Proceedings of Science and Technology Innovations (pp. 57–73). Faculty of Science and Technology, Athabasca University, Canada.
Sodjahin, B., Reckseidler-Zenteno, S., Lewenza, S., Kumar, V.S. & Wang, J. (2015). Identification of Low Nutrient Response Genes in the Bacterium Pseudomonas aeruginosa with Hierarchical Clustering. In M. Chang, & F. Al-Shamali (Eds.), 2015 Proceedings of Science and Technology Innovations (pp. 1–16). Faculty of Science and Technology, Athabasca University, Canada.
Kumar, V.S., Kinshuk, Clemens, C., & Harris, S. (2015). Causal models and big data learning analytics. In Kinshuk, & R. Huang (Eds.), Ubiquitous learning environments and technologies (pp. 31–53). Berlin, Germany: Springer Berlin Heidelberg. doi: 10.1007/978-3-662-44659-1_3
Kumar, V.S., Kinshuk, Somasundaram, T.S., Boulanger, D., Seanosky, J., & Vilela, M. (2015). Big data learning analytics: A new perspective. In Kinshuk, & R. Huang (Eds.), Ubiquitous learning environments and technologies (pp. 139–158). Berlin, Germany: Springer Berlin Heidelberg. doi: 10.1007/978-3-662-44659-1_8
Kumar, V.S. Kinshuk, Somasundaram, T.S., Harris, S., Boulanger, D., Seanosky, J., Paulmani, G., & Panneerselvam, K. (2015). An approach to measure coding competency evolution. In M. Chang, & Y.Li (Eds.), Smart learning environments (pp. 27–43). Berlin, Germany: Springer Berlin Heidelberg. doi: 10.1007/978-3-662-44447-4_2
Kumar, V. (2011). Tracing the metacognitive competencies of online learners. In S. Graf, F. Lin, Kinshuk, & R. McGreal (Eds.), Intelligent and adaptive learning systems: Technology enhanced support for learners and teachers (pp. 198–212). Hershey, PA: IGI Global. doi: 10.4018/978-1-60960-842-2.ch013
Kumar, V.S. Chang, M., & Leacock, T.L. (2011). Mobile computing and mixed-initiative support for writing competence, In S. Graf, F. Lin, Kinshuk, & R. McGreal (Eds.), Intelligent and adaptive learning systems: Technology enhanced support for learners and teachers (pp. 327–341). Hershey, PA: IGI Global. doi: 10.4018/978-1-60960-842-2.ch021
Kumar, V.S. Groeneboer, C., Chu, S., Jamieson-Noel, D., & Xin, C. (2007). Case studies on learners and instructors in an e-learning ecosystem. In R.C. Sharma, & S. Mishra (Eds.), Cases on global e-learning practices: Successes and pitfalls (pp. 320–332). Hershey, PA: Information Science Publishing. doi: 10.4018/978-1-59904-340-1.ch024
Kumar, V.S. Nesbit, J., Winne, P., Hadwin, A., Jamieson-Noel, D., & Han, K. (2007). Quality rating and recommendation of learning objects. In S. Pierre (Ed.), E-learning networked environments and architectures (pp. 337–373). London: Springer London. doi: 10.1007/978-1-84628-758-9_12
Kumar, V.S. Chu, S., & Groeneboer, R.C. (2005). Personalizing instructional design processes to empower learners, case study. In D. Stockley, & J. Mighty (Eds.), Teaching more students (pp. 74–78). Kingston, Canada: Queen’s University Press.
Greer, J.E., McCalla, G.I., Cooke, J.E., Collins, J.A., Kumar, V.S., Bishop, A.S., & Vassileva, J.I. (2000). Integrating cognitive tools for peer help: The intelligent intranet peer help-desk project. In S. Lajoie (Ed.), Computers as cognitive tools: The next generation, Vol. II, No more walls (2nd ed., pp. 69–96). Mahwah, NJ: Lawrence Erlbaum Associates.

Book Reviews/Booklets

(Published: 3)

Kumar, V.S. (2022). Machine Learning for Everyone, Microcredential, Commonwealth of Learning, Burnaby, Canada.
Kumar, V.S. (2011). Process guide for students for interdisciplinary work in computer science/informatics, 2^nd edition. Journal of educational technology & society, 14(2), 287-288. [5-Year Impact factor: 1.34; H Index: 40]
Kumar, V.S. MacLeod, D. (2018). Learning Scenarios: Affective Intellligence. Available from: https://www.athabascau.ca/science-and-technology/_documents/ai_booklet.pdf

Refereed Journal Publications

(Published: 23)

Kumar, V.S., Ally, M., Tsinakos, A., Norman, H. (2022). Cognification in learning, teaching, and training. Canadian Journal of Learning Technologies, Vol 48, No. 4, available open access https://files.eric.ed.gov/fulltext/EJ1374731.pdf.
Pinto, R., Valentim, R., da Silva, L., da Silva, L.F., de Souza, G.F., de Moura Santos Lima, T., de Oliveira, C., dos Santos, M.M., Miranda, A.E., Cunha-Oliveira, A., Kumar, V.S., Atun, R. (2021). Use of Interrupted Time Series Analysis in Understanding the Course of the Congenital Syphilis Epidemic in Brazil, The Lancet Regional Health – Americas – available open access https://doi.org/10.1016/j.lana.2021.100163.
Pinto, R., Valentim, R., da Silva, L., de Moura Santos Lima, T., Kumar, V.S., de Oliveira, C., de Gusmão, C., de Paiva, J., de Andrade, I. (2021). Analyzing the reach of public health campaigns based on multidimensional aspects: the case of the syphilis epidemic in Brazil, BMC Public Health.
Davidson, B., Dewan, M., Kumar, V.S., Chang, M. Liggett, B. (2020). Visualizing Benefits: Evaluating Healthcare Information System Using IS-Impact Model, IEEE Access, DoI: 10.1109/ACCESS.2020.3015467, pp: 148052-148065.
Kumar, V.S. & Boulanger, D. (2020). Automated Essay Scoring and the Deep Learning Black Box: How are rubric scores determined? International Journal of Artificial Intelligence in Education, DOI:10.1007/s40593-020-00211-5.
Kumar, V.S. Boulanger, D. (2020). Explainable Automated Essay Scoring: ‘Deep Learning’ Really Has Pedagogical Value, Frontiers in Education – Assessment, Testing and Applied Measurement, Special Issue on Learning Analytics for Supporting Individualization: Data-informed Adaptation of Learning, Topic Editor(s): Carrie Demmans Epp, Ben Daniel, Kasia Muldner, Frontiers. Collection. https://doi.org/10.3389/feduc.2020.572367.
Kumar, V.S. Harris, S., Burrows, J., Clemens, C., Boulanger, D., Seanosky, J., Guillot, R., & Guillot, I. (2018). Introspection and Prospects of Learning Analytics – Part 2. In Educational Communications and Technology, 2018(4), pp. 9-13.
Kumar, V.S. Harris, S., Burrows, J., Clemens, C., Boulanger, D., Seanosky, J., Guillot, R., & Guillot, I. (2018). Introspection and Prospects of Learning Analytics – Part 1. In Educational Communications and Technology, 2018(2), pp. 10-15.
Kumar, V.S. Seanosky, J., Boulanger, D., Guillot, R., Guillot, C., & Guillot, I. (2018). CODEX: A Formative Assessment Tool to Analyze Beginners’ Coding Experiences. In Educational Communications and Technology (Chinese Journal), 2018(3), pp. 58-64.
Burrows, J., Kumar, V.S. (2018). The Objective Ear: assessing the progress of a music task. In International Journal of Smart Learning Environments, Springer, 5:13, https://doi.org/10.1186/s40561-018-0062-1, pp: open access.
Kinshuk, Kumar, V.S. (2018). Advancing Learning through Smart Learning Analytics: A Review of Case Studies. Asian Association of Open Universities Journal, 13(1), pp. 1-12. https://doi.org/10.1108/AAOUJ-12-2017-0039
Mitchnick, D., Clemens, C., Kagereki, J., Kumar, V.S., Fraser, S. (2017). Measuring the Written Language Disorder among Students with Attention Deficit Hyperactivity Disorder. Journal of Writing Analytics, 1 (1), pp. N/A, https://journals.colostate.edu/index.php/analytics/article/view/131
Kumar, V.S., Fraser, S.N., Boulanger, D. (2017). Discovering the predictive power of five baseline writing competences, Journal of Writing Analytics, 1 (1), pp. N/A, http://journals.colostate.edu/index.php/analytics/article/view/107
Lee, S., Barker, T., & Kumar, V.S. (2016). Effectiveness of a learner-directed model for e-learning. Journal of educational technology & society, 19(3), 221-233. [5-Year Impact factor: 1.34; H Index: 40]
Ebner M., Kinshuk, Wohlhart D., Taraghi B., & Kumar, V.S. (Special Issue Editors, 2015). Learning analytics. The journal of universal computer science, 21(1), 1-6. [Impact factor: 0.401 in 2013; H Index: 33]
Kumar, V.S. Boulanger, D., Seanosky, J., Kinshuk, Panneerselvam, K., & Somasundaram, T.S. (2014). Competence analytics. Journal of computers in education, 1(4), 251-270. doi: 10.1007/s40692-014-0018-6
Kumar, V.S. Graf, S., & Kinshuk. (2011). Causal competencies and learning styles: A framework for adaptive instruction. Journal of e-learning and knowledge society, 7(3), 13–32. [H Index: 5]
Kumar, V.S. Chang, M., & Leacock, T. (2011). Ubiquitous writing: Writing technologies for situated mediation and proactive assessment. Ubiquitous learning: An international journal, 3(3), 173–188.
Kumar, V.S., Gress, C.L.Z., Hadwin, A.F., & Winne, P.H. (2010). Assessing Process in CSCL: An Ontological Approach. Computers in Human Behavior, 26(5), 825–834. doi: 10.1016/j.chb.2007.07.004 [Impact factor: 2.273 in 2012; H Index: 68]
Winne, P.H., Nesbit, J.C., Kumar, V.S. Hadwin, A.F., Lajoie, S.P., Azevedo, R., & Perry, N.E. (2006). Supporting self-regulated learning with gStudy software: The learning kit project. Technology, instruction, cognition and learning, 3(1-2), 105–113.
Kumar, V.S. Greer, J.E., & McCalla G.I. (2005). Assisting online helpers. International journal of learning technology, 1(3), 293–321. doi: 10.1504/IJLT.2005.006519
Greer, J., McCalla, G., Collins, J., Kumar, V.S. Meagher, P., & Vassileva, J. (1998). Supporting peer help and collaboration in distributed workplace environments. International journal of artificial intelligence in education, 9, 159–177. [H Index: 10]
Kumar, V.S., Anjaneyulu, K.S.R., & Gupte, U.A. (1997). Vidya: A situated call environment. Computer assisted language learning, 10(2), 149–172. doi: 10.1080/0958822970100204. [Impact Factor: 0.880 in 2013]

Refereed Conference Publications

(Papers Published: 118; Posters: 15; White papers: 2; Technical reports: 1)

Conference papers, Posters, Technical reports, Discussion papers

Sauder, W., Dewan, M.A.A., Kumar, V.S. (2023), Generative Conditional Facial Reenactment Method Using a Human Expression Palette. In Proceedings of 2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) – Machine Learning, Data Analytics and Artificial Intelligence, pp. 222-228.
Dron, J., McGreal, R., Kumar, V.S., Davies, J. (2022). Investigating the Effects of Computer-Generated Contextual Landmarks on Short-Term Recall of E-Texts. The Open/Technology in Education, Society, and Scholarship Association Conference. 2. 1-6. doi: 10.18357/otessac.2022.2.1.76.
Boulanger, D., Dewan, A., Kumar, V.S. Lin, F. (2021). Lightweight and Interpretable Detection of Affective Engagement for Online Learners. In Proceedings of The 19th IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), AB, Canada, 2021, pp. 176-184, doi: 10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00040.
Boulanger, D., & Kumar, V.S. (2020). SHAPed Automated Essay Scoring: Explaining Writing Features’ Contributions to English Writing Organization. In Proceedings of the International Conference on Intelligent Tutoring Systems, Springer, pp: 68-78.
Pinto, R., Silva, L., Valentim, R., Kumar, V.S., Oliveira, C.A., Lacerda, J., da Silva, R.D., and Paiva, J. (2020). “Assessing the Impact of Public Health Campaigns Through Epidemiological, Communication and Education Indicators”, Advanced Learning Technologies ICALT 2020, pp. 147-149, doi: 10.1109/ICALT49669.2020.00050.
Tang, Q., Pinto, R., Kumar, V.S. “Analytics-oriented Preventive Care for Communicable Diseases”, Advanced Learning Technologies ICALT 2020, pp. 145-146, doi: 10.1109/ICALT49669.2020.00049.
Lu, Z-X., Chang, M., Kuo, R., & Kumar, V. (2019). Incorporating Farming Feature into MEGA World for Improving Learning Motivation. In J. L. Shih et al. (Eds.), Proceedings of the 27th International Conference on Computers in Education (ICCE 2019). Taiwan: Asia-Pacific Society for Computers in Education. December 2-6, Kenting, Taiwan, pp: 591-598, Open Access.
Boulanger, D., Seanosky, J., Guillot, R., Guillot, I., Guillot, C., Fraser, S., Kumar, V.S. & Kinshuk (2019). Assessing Learning Analytics Impact on Coding Competence Growth. International Conference on Advanced Learning Technologies (ICALT 2019), July 15-18, Maceió-AL, Brazil. DOI: 10.1109/ICALT.2019.00057.
Boulanger, D., & Kumar, V.S. (2019). Shedding Light on the Automated Essay Scoring Process. In Educational Data Mining (EDM 2019), Poster, July 2-5, Montreal, Canada.
Boulanger, D., & Kumar, V. (2019) An Overview of Recent Developments in Intelligent e-Textbooks and Reading Analytics (AIED 2019), Chicago, USA, June 25-29.
https://www.slideshare.net/SergeySosnovsky2/an-overview-of-recent-developments-in-intelligent-etextbooks-and-reading-analytics
Guillot, I., Guillot, C., Guillot, R., Seanosky, J., Boulanger, D., Fraser, S.N., Kumar, V.S. & Kinshuk (2019). Challenges in recruiting and retaining participants for smart learning environment studies. In: Chang M. et al. (eds) Foundations and Trends in Smart Learning. Lecture Notes in Educational Technology. Springer, Singapore (pp. 61-66). (ICSLE 2019), March 18-20, Denton, USA. DOI 10.1007/978-981-13-6908-7_8. [Acceptance rate: 22.22%]
Burrows, J., Kumar, V.S., Dewan, A., & Kinshuk (2018). Assessing A Music Student’s Progress, International Conference on Advanced Learning Technologies (ICALT 2018), July 9-13, Mumbai, India (pp. 202-206). DOI 10.1109/ICALT.2018.00055. [Acceptance rate: 22.51%]
Guillot, R., Seanosky, J., Guillot, I., Boulanger, D., Guillot, C., Kumar, K., Fraser, S.N., & Kinshuk. (2018). Assessing Learning Analytics Systems Impact by Summative Measures, International Conference on Advanced Learning Technologies (ICALT 2018), July 9-13, Mumbai, India (pp. 188-190). DOI 10.1109/ICALT.2018.00051. [Acceptance rate: 22.51%]
Harris, S. & Kumar, V.S. (2018). TutorAlert: Identifying Student Difficulty in a Digital Learning Environment, International Conference on Advanced Learning Technologies (ICALT 2018), July 9-13, Mumbai, India (pp. 199-201). DOI 10.1109/ICALT.2018.00054. [Acceptance rate: 22.51%]
Boulanger, D., & Kumar, V.S. (2018). Deep Learning in Automated Essay Scoring. International Conference on Intelligent Tutoring Systems (ITS) 2018. In R. Nkambou, R. Azevedo, & J. Vassileva (eds) Lecture Notes in Computer Science. Springer, Switzerland, pp. 294-299. Presented at the 2018 Intelligent Tutoring Systems (ITS), 14th International Conference, Montreal, Canada, June 11-15, 2018. DOI: https://doi.org/10.1007/978-3-319-91464-0. (More than 1200 downloads: http://www.bookmetrix.com/detail/chapter/fdd7e62d-b1ae-48cf-96f7-7c7d292209a6#downloads) [Acceptance rate: 21.67%]
Burrows J., & Kumar, V.S. (2018). The Objective Ear: Assessing the Progress of a Music Task. In: Chang M. et al. (eds) Challenges and Solutions in Smart Learning. Lecture Notes in Educational Technology. Springer, Singapore, pp: 107-112. Presented at the 2018 International Conference on Smart Learning Environments (ICSLE), Beijing, China. DOI: https://doi.org/10.1007/978-981-10-8743-1_15. [Acceptance rate: 25.93%]
Guillot, I., Paulmani, G., Kumar, V.S., & Fraser, S.N. (2017). Case Studies of Industry-Academia Research Collaborations for Software Development with Agile. In C. Gutwin, S. Ochoa, J. Vassileva, & T. Inoue (Eds.), In Collaboration and Technology: 23^rd International Conference, CYTED-RITOS International Workshop on Groupware (CRIWG 2017), Saskatoon, Canada, August 9-11. LNCS 10391, (pp. 196–212). Springer, Cham. doi: 10.1007/978-3-319-63874-4_15. [Acceptance rate: 42.42%]
Chang, M-H., Kuo, R., Essalmi, F., Chang, M., Kumar, V.S. & Kung, H-Y. (2017). Usability Evaluation Plan for Online Annotation and Student Clustering System – A Tunisian University Case. In International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management (pp. 241-254), Vancouver, Canada, July 9–14, Springer, Cham. [Acceptance rate: 28.29%]
Seanosky, J., Guillot, I., Boulanger, D., Guillot, R., Guillot, C., Kumar, V.S. Fraser, S.N., Aljojo, N. and Munshi, A. (2017, July). Real-time visual feedback: a study in coding analytics. In Advanced Learning Technologies (ICALT), 2017 IEEE 17th International Conference on (pp. 264-266). IEEE. [Acceptance rate: 21.83%]
Sodjahin, B., Kumar, V.S., Lewenza, S., Reckseidler-Zenteno, S. (2017). Probabilistic Graphs to Model Pseudomonas Aeruginosa Survival Mechanism and Infer Low Nutrient Water Response Genes, IEEE Congress on Evolutionary Computation, pp. 2552-2558, Donostia – San Sebastián, Spain, June 5-8. [Acceptance rate: 57.56%]
Sodjahin, B., Kumar, V.S., Lewenza, S., Reckseidler-Zenteno, S. (2017). Bayesian Networks to Model Pseudomonas Aeruginosa Survival Mechanism and Identify Low Nutrient Response Genes in Water, In Canadian conference on Artificial Intelligence, pp. 341-347, Edmonton, Canada, May 16-19, Springer. [Acceptance rate: 30.65%]
Sodjahin, B., Kumar, V.S., Lewenza, S., Reckseidler-Zenteno, S. (2017). Modeling Pseudomonas Aeruginosa Survival Mechanism and Identifying Low Nutrient Response Genes in Water with Machine Learning Techniques, Poster, ISCB NGS-Barcelona – Structural Variation and Population Genomics Conference, (pp. N/A), Barcelona, Spain, 3-4 April.
Govindarajan, K., & Kumar, V.S. (2017). An Intelligent Load Balancer for Software Defined Networking (SDN) based Cloud Infrastructure, 2017 IEEE International Conference on Electrical, Computer and Communication Technologies (IEEE ICECCT 2017), pp. 1259-1264, Coimbatore, India, Feb 22-24. [Acceptance rate: 22.73%]
Somasundaram, T.S., Govindarajan, K., & Kumar, V.S. (2016), Swarm Intelligence (SI) based Profiling and Scheduling of Big Data Applications, IEEE Conference on Big Data, Session on Intelligent Data Mining, pp. 1875-1880, Washington, DC, USA, Dec 5-8. [Acceptance rate: 18.7%]
Govindarajan, K., Kumar, V.S., Kinshuk. (2016). Dynamic Learning Path Prediction – A Learning Analytics Solution, 8^th International Conference on Technology for Education T4E 2016, pp. 188-193, Bombay, India, December 2-5, 2016. [Acceptance rate: 12.2%]
Govindarajan, K., Boulanger, D., Seanosky, J., Bell, J., Pinnell, C., & Kumar, V. S. (2016). Assessing Learners’ Progress in a Smart Learning Environment using Bio-Inspired Clustering Mechanism. In E. Popescu, Kinshuk, M. K. Khribi, R. Huang, M. Jemni, N-S. Chen, & D.G. Sampson (Eds.), Innovations in Smart Learning (pp. 49-58). Springer Singapore. 3^rd International Conference on Smart Learning Environments, pp. n/a, Tunis, Tunisia, September 28-30. doi: 10.1007/978-981-10-2419-1_9. [Acceptance rate: 25%]
Boulanger, D., Seanosky, J., Guillot, R., Kumar, V. S., & Kinshuk (2016). Breadth and Depth of Learning Analytics. In E. Popescu, Kinshuk, M. K. Khribi, R. Huang, M. Jemni, N-S. Chen, & D.G. Sampson (Eds.), Innovations in Smart Learning (pp. 221-225). Springer Singapore. Workshop at the 3^rd International Conference on Smart Learning Environments, Tunis, Tunisia, September 28-30. doi: 10.1007/978-981-10-2419-1_30. [Acceptance rate: 25%]
Boulanger, D., Seanosky, J., Clemens, C., Kumar, V.S., Kinshuk. (2016). SCALE: A smart competence analytics solution for English writing, International Conference on Advanced Learning Technologies, pp. 468-472, Austin, TX, USA, July 25-28. [Acceptance rate: 27.8%]
Feild, J., Lewkow, N., Zimmerman, N., Riedesel, M., Essa, A., Boulanger, D., Seanosky, J., Kumar, V.S., Kinshuk, Kode, S. (2016). A scalable learning analytics platform for automated writing feedback, Educational Data Mining, pp. 688-693, Raleigh, NC, USA, June 29 – July 2. [ACM] [Acceptance rate: 18.63%]
Lewkow, N., Feild, J., Zimmerman, N., Riedesel, M., Essa, A., Boulanger, D., Seanosky, J., Kumar, V.S., Kinshuk, Kode, S. (2016). A scalable learning analytics platform for automated writing feedback, ACM conference on Learning @ Scale, pp. 109-112, Edinburgh, UK, April 25–26. [ACM] [Acceptance rate: 22.78%]
Seanosky, J., Jacques, D., Kumar, V.S. & Kinshuk (2016). Security and Privacy in Bigdata Learning Analytics. In Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC–16’), Chennai, India, March 10–11 (pp. 43-55). Springer International Publishing. doi: 10.1007/978-3-319-30348-2_4. [Acceptance rate: 27.27%]
Mitchnick, D., Kumar, V.S. Kinshuk, & Fraser, S. (2016). Using Healthcare Analytics to Determine an Effective Diagnostic Model for ADHD in Students. 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), (pp. 1-4). Las Vegas February 24-27 doi:10.1109/BHI.2016.7467133
Govindarajan, K., Kumar, V. S., Boulanger, D., Seanosky, J., Bell, J., Pinnell, C., & Somasundaram, T. S. (2016). Software-Defined Networking (SDN)-Based Network Services for Smart Learning Environments: The Role of SDN in Smart Competence LEarning Analytics platform (SCALE). In State-of-the-Art and Future Directions of Smart Learning. Springer Singapore. [Springer]. Paper presented at the 2015 International Conference on Smart Learning Environments, Sinaia, Romania, 23–25 December (pp. 69-76). [Acceptance rate: 23.21%]
Boulanger, D., Seanosky, J., Pinnell, C., Bell, J., Kumar, V.S., Kinshuk. (2016). SCALE: A competence analytics framework. In Y. Li and M. Chang (Eds.), State-of-the-Art and future directions of smart learning (International Conference on Smart Learning Environments, December 23–25, 2015, Sinaia, Romania), Springer, pp. 19–30. Chapter DOI: 10.1007/978-981-287-868-7_3 [Acceptance rate: 23.21%]
Guillot, C., Guillot, R., & Kumar, V. (2016). MUSIX: Learning Analytics in Music Teaching. In Y. Li and M. Chang (Eds.), State-of-the-Art and future directions of smart learning (Poster at International Conference on Smart Learning Environments, December 23–25, 2015, Sinaia, Romania), Springer, pp. 269–273. Chapter DOI: 10.1007/978-981-287-868-7_31 [Acceptance rate: 23.21%]
Govindarajan, K., Kumar, V.S., Kinshuk (2015). Parallel Particle Swarm Optimization (PPSO) Clustering for Learning Analytics, IEEE International Conference on Big Data (IEEE Big Data 2015), pp. 1461-1465, Santa Clara, CA, USA, doi: 10.1109/BigData.2015.7363907. [IEEE] [Acceptance rate: 16.8%]
Govindarajan, K., Kumar, V.S., Boulanger, D., Kinshuk (2015). Learning Analytics Solution to Reduce Learners’ Course Failure Rate, International Conference on Technology for Education (T4E 2015), (pp. 83-90), Warangal, India, doi: 10.1109/T4E.2015.14. [IEEE] [Acceptance rate: 10.61%]
Prajapati, U., Sharma, A., Kumar, V.S., Kinshuk (2015). Analytics using trackers in the field of education, International Conference on Technology for Education (T4E 2015), pp. 31-34, Warangal, India, doi: 10.1109/T4E.2015.7. [IEEE] [Acceptance rate: 10.61%]
Govindarajan, K., Boulanger, D., Seanosky, J., Bell, J., Pinnell, C., Kumar, V. S., & Somasundaram, T. S. (2015, July). Performance Analysis of Parallel Particle Swarm Optimization Based Clustering of Students. In Advanced Learning Technologies (ICALT), 2015 IEEE 15th International Conference on Advanced Learning Technologies, Hualien, Taiwan (pp. 446–450), doi: 10.1109/ICALT.2015.136. [IEEE] [Acceptance rate: 21.6%]
Govindarajan, K., Somasundaram, T.S., Boulanger, D., Kumar, V.S., & Kinshuk. A framework for Scheduling and Managing Big Data Applications in a Distributed Infrastructure. Seventh International Conference on Advanced Computing (ICoAC 2015), Chennai, India, 15–17 December (pp. 1–6). doi: 10.1109/ICoAC.2015.7562784 [IEEE]
Zheng, L., El-Bishouty, M.M., Pinnell, C., Bell, J., Kumar, V.S. & Kinshuk (2015). A framework to automatically analyze regulation. In G. Chen, V. Kumar, Kinshuk, R. Huang, & S.C. Kong (Eds.), Emerging issues in smart learning. In proceedings of the International Conference on Smart Learning Environment 2014, The Hong Kong Institute of Education, Hong Kong, 24–25 July (pp. 23–30). Berlin, Germany: Springer Berlin Heidelberg. doi: 10.1007/978-3-662-44188-6_3 [Acceptance rate: 44%] [Springer]
Boulanger, D., Seanosky, J., Kumar, V.S. Kinshuk, Panneerselvam, K., & Somasundaram, T.S. (2015). Smart learning analytics. In G. Chen, V. Kumar, Kinshuk, R. Huang, & S.C. Kong (Eds.), Emerging issues in smart learning. In proceedings of the International Conference on Smart Learning Environment 2014, The Hong Kong Institute of Education, Hong Kong, 24–25 July (pp. 289–296). Berlin, Germany: Springer Berlin Heidelberg. doi: 10.1007/978-3-662-44188-6_39 [Acceptance rate: 44%] [Springer]
Seanosky, J., Boulanger, D., Kumar, V.S. & Kinshuk (2015). Unfolding learning analytics for big data. In Chen, V. Kumar, Kinshuk, R. Huang, & S.C. Kong (Eds.), Emerging issues in smart learning. In proceedings of the International Conference on Smart Learning Environment 2014, The Hong Kong Institute of Education, Hong Kong, 24–25 July (pp. 377–384). Berlin, Germany: Springer Berlin Heidelberg. doi: 10.1007/978-3-662-44188-6_52 [Acceptance rate: 44%] [Springer]
Boulanger, D., Seanosky, J., Baddeley, M., & Kumar, V. (2014, December). Learning Analytics in the Energy Industry: Measuring Competences in Emergency Procedures. In Technology for Education (T4E), 2014 IEEE Sixth International Conference on, Kerala, India, 18–21 December (pp. 148–155). doi: 10.1109/T4E.2014.44 [IEEE] [Acceptance rate: 12.28%]
Harris, S.C., Zheng, L., Kumar, V.S. & Kinshuk. (2014). Multi-dimensional sentiment classification in online learning environment. In proceedings of the 2014 IEEE Sixth International Conference on Technology for Education, Clappana, Kerala, India, 18–21 December (pp. 172–175). doi: 10.1109/T4E.2014.50 [IEEE] [Acceptance rate: 12.28%]
Zheng, L., Kumar, V.S. & Kinshuk. (2014). The role of co-regulation in synchronous online learning environment. In proceedings of the 2014 IEEE Sixth International Conference on Technology for Education, Clappana, Kerala, India, 18–21 December (pp. 241–244). doi: 10.1109/T4E.2014.49 [IEEE] [Acceptance rate: 12.28%]
Forner, L., Kumar, V.S., & Kinshuk. (2013). Assessing design of online courses using Bayesian belief networks. In proceedings of the 2013 IEEE Fifth International Conference on Technology for Education, Kharagpur, India, 18–20 December (pp. 36–42). doi: 10.1109/T4E.2013.17 [IEEE] [Acceptance rate: 13.48%]
Govindarajan, K., Somasundaram, T.S., Kumar, V.S. & Kinshuk. (2013). Continuous clustering in big data learning analytics. In proceedings of the 2013 IEEE Fifth International Conference on Technology for Education, Kharagpur, India, 18-20 December (pp. 61–64). doi: 10.1109/T4E.2013.23 [IEEE] [Acceptance rate: 13.48%]
Fakinlede, I., Kumar, V.S. Wen, D., & Kinshuk. (2013). Conversational forensics: Building conversational pedagogical agents with attitude. In proceedings of the 2013 IEEE Fifth International Conference on Technology for Education, Kharagpur, India, 18–20 December (pp. 65-68). doi: 10.1109/T4E.2013.52 [IEEE] [Acceptance rate: 13.48%]
Ridgewell, W., Kumar, V.S., & Kinshuk. (2013). Immersive and authentic learning environments to mitigate security vulnerabilities in networked game devices. In proceedings of the 2013 International Conference on Signal-Image Technology & Internet-Based Systems, Kyoto, Japan, 2–5 December (pp. 1042–1048). doi: 10.1109/SITIS.2013.168 [IEEE] [Acceptance rate: 42.86%]
Govindarajan, K., Somasundaram, T.S., Kumar, V.S., & Kinshuk. (2013). Particle swarm optimization (PSO)-based clustering for improving the quality of learning using cloud computing. In proceedings of the 2013 IEEE 13^th International Conference on Advanced learning technologies, Beijing, China, 15–18 July (pp. 495–497). doi: 10.1109/ICALT.2013.160 [IEEE] [Acceptance rate: 17.3%]
Clemens, C., Kumar, V.S. & Mitchnick, D., (2013). Writing-based learning analytics for education, workshop on learning analytics. In proceedings of the 2013 IEEE 13^th International Conference on Advanced learning technologies, Beijing, China, 15–18 July (pp. 504-505). doi: 10.1109/ICALT.2013.164 [IEEE] [Acceptance rate: 17.3%]
Wang, M., Kumar, V.S. Chuang, H-H., & Spector, J.M. (2013). E-portfolios in both formal and informal learning contexts. In proceedings of the 2013 IEEE 13^th International Conference on Advanced learning technologies, Beijing, China, 15–18 July (pp. 515). doi: 10.1109/ICALT.2013.171 [IEEE] [Acceptance rate: 17.3%]
Fakinlede, I., Kumar, V.S. & Wen, D. (2013). Knowledge representation for context and sentiment analysis. In proceedings of the 2013 IEEE 13^th International Conference on Advanced learning technologies, Beijing, China, 15–18 July (pp. 493-494). doi: 10.1109/ICALT.2013.158 [IEEE] [Acceptance rate: 17.3%]
Fakinlede, I., Kumar, V.S. Wen, D., & Graf, S. (2013). Auto generating APA persona. In proceedings of the 2013 IEEE 13^th International Conference on Advanced learning technologies, Beijing, China, 15–18 July (pp.473-474). doi: 10.1109/ICALT.2013.181 [IEEE] [Acceptance rate: 17.3%]
Haghighat, K., Clemens, C., Kumar, V.S., & Kinshuk. (2012). Tracing student learning process in mixed-initiative learning environments. In proceedings of the 2012 IEEE International Conference on Technology Enhanced Education, Kerala, India, 3–5 January (pp. 1-3). doi: 10.1109/ICTEE.2012.6208663 [IEEE] [Acceptance rate: 12%]
Lee, S., Barker, T., & Kumar, V. (2011). Learning preferences and self-regulation – Design of a learner-directed e-learning model. In T. Kim, H. Adeli, H.K. Kim, H.J. Kang, K.J. Kim, A. Kiumi, & B.H. Kang (Eds.), Software engineering, business continuity, and education. In proceedings of the International Conferences, ASEA, DRBC and EL 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, in Conjunction with GDC 2011, Jeju Island, Korea, December 8-10 (pp. 579–589). Berlin, Germany: Springer Berlin Heidelberg. doi: 10.1007/978-3-642-27207-3_63 [Springer]
Lee, S., Barker, T., & Kumar, V. (2011). Models of eLearning: The development of a learner-directed adaptive eLearning system. In S. Greener & A. Rospigliosi (Eds.), In proceedings of the 10^th European conference on e-learning, Brighton, UK, November 10–11 (pp. 390–398). [Acceptance rate: 45.2%]
Ridgewell, W., Kumar, V.S. Lin, O., & Kinshuk. (2011). OpenSim virtual worlds as platforms for enhanced learning concepts. In proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, Athens, Georgia, USA, 6–8 July (pp. 623–624). doi: 10.1109/ICALT.2011.192 [IEEE] [Acceptance rate: 24.6%]
Clemens, C., Chang, M., Wen, D., Kumar, V.S. Lin, O., & Kinshuk. (2011). Traces of writing competency – Surfing the classroom, social, and virtual worlds. In proceedings of the 2011 11^th IEEE International Conference on Advanced Learning Technologies, Athens, Georgia, USA, 6–8 July (pp. 625–626). doi: 10.1109/ICALT.2011.193 [IEEE] [Acceptance rate: 24.6%]
Graf, S., Kinshuk, Chen, N.S., Chang, M., Dron, J., Wen, D., Kumar, V.S., Tan, Q., Yang, G., Lin F. (2011). Adaptabilidad y Personalización de Ambientes de Aprendizaje Ubicuos – Un enfoque basado en estilos de aprendizaje (in Spanish; English title: Adaptivity and Personalization in Ubiquitous Learning Environments – Learning Styles based Approach). Invited paper. Revista Magisterio 52 (5), pp. 30-39.
Kinshuk, Chang, M., Dron, J., Graf, S., Kumar, V.S. Lin, O., Tan, Q., Wen, D., & Yang, G. (2011). Transition from e-learning to u-learning: Innovations and personalization issues. Invited paper. In proceedings of the 2011 IEEE International Conference on Technology for Education, Chennai, India, 14–16 July (pp. 26–31). doi: 10.1109/T4E.2011.13 [IEEE] [Acceptance rate: 12.4%]
Kumar, V.S. Chang, M., & Leacock, T. (2010), Ubiquitous writing: In search of traces of writing skills and opportunities for proactive feedback. Paper presented at the International Conference on Ubiquitous Learning, Vancouver, Canada, 10–11 December (pp. N/A). [Acceptance rate: 39.86%]
Kinshuk, Graf, S., Chang, M., Dron, J., Wen, D., Kumar, V.S. Tan, Q., Yang, G., Lin, F. (2010). Adaptivity and Personalization in Ubiquitous Learning Environments. Invited paper. Proceedings of the II Congreso Internacional de Ambientes Virtuales de Aprendizaje Adaptativos y Accesibles (CAVA2010), September 2010, Cartagena, Colombia.
El Kadi, M., & Kumar, V. (2010). Evaluation of instructional design using Bayesian belief networks. In proceedings of the ICEM-CIME 2009 Conference – Literacy and You in a Digital Age, Abu Dhabi, United Arab Emirates, 6–8 October (pp. 132–145).
El Kadi, M., & Kumar, V. (2010). MI-IDEM: A model to evaluate instructional design using Bayesian belief networks. In proceedings of the 2010 9th International Conference on Information Technology Based Higher Education and Training, Cappadocia, Turkey, 29 April–1 May (pp. 1–8). doi: 10.1109/ITHET.2010.5480071
Kumar, V.S. Lee, S., El-Kadi, M., Manimalar, P.-D., Somasundaram, T.S., & Sidhan, M. (2009). Open instructional design. In proceedings of the International Workshop on Technology for Education, Bangalore, India, 4– 6 August (pp. 42–48). doi: 10.1109/T4E.2009.5314104 [IEEE] [Acceptance rate: 38.5%]
Brokenshire, D., & Kumar, V. (2009). Discovering causal models of self-regulated learning. In V. Dimitrova et al. (Eds.). In proceedings of the 14^th International Conference on Artificial Intelligence in Education, Brighton, UK, 6–10 July (pp. 257–264). doi: 10.3233/978-1-60750-028-5-257 [Acceptance rate: 28.8%]
Doherty, L., & Kumar, V. (2009). Teaching programming through games. In proceedings of the International Workshop on Technology for Education, Bangalore, India, 4– 6 August (pp. 111–113). doi: 10.1109/T4E.2009.5314120 [IEEE] [Acceptance rate: 38.5%]
Somasundaram, T.S., Manimalar, P.D., Kannan, G., Kumar, V.S. Sidhan, M. (2009). Grid learning management system with role-based access control. In proceedings of the International Conference on Advanced Computing (ICAC 2009), Chennai, India, (pp. 167-171).
Kumar, V. (2008). Critical-mass in e-education. In proceedings of the Eighth IEEE International Conference on Advanced Learning Technologies, Cantabria, Spain, 1–5 July (pp. 1009–1010). doi: 10.1109/ICALT.2008.297 [IEEE] [Acceptance rate: 29.6%]
Rao, S., & Kumar, V. (2008). A theory-centric real-time assessment of programming. In proceedings of the Eighth IEEE International Conference on Advanced Learning Technologies, Cantabria, Spain, 1–5 July (pp. 139–143). doi: 10.1109/ICALT.2008.288 [IEEE] [Acceptance rate: 29.6%]
Brokenshire, D., & Kumar, V. (2008). Causal models for learning technology. In proceedings of the Eighth IEEE International Conference on Advanced Learning Technologies, Cantabria, Spain, 1–5 July (pp. 262–264). doi: 10.1109/ICALT.2008.132 [IEEE] [Acceptance rate: 29.6%]
Jiang, Y., Polydorou, P., & Kumar, V. (2007). Performance evaluation of SIP voice conferencing over IEEE 802.11: User agent in a single subnet. In proceedings of the IET-UK International Conference on Information and Communication Technology in Electrical Sciences, Chennai, Tamil Nadu, India, 20–22 December (pp. 951–958).
Doherty, L., Kumar, V.S. & Winne, P. (2007). Assisted ontology instantiation: A learningKit perspective. In proceedings of the IEEE International Conference on Advanced Learning Technologies, Niigata, Japan, 18–20 July (pp. 265–267). doi: 10.1109/ICALT.2007.75 [IEEE] [Acceptance rate: 23.5%]
Rao, S., Doherty, L., & Kumar, V. (2007). Towards mixed-initiative interactions in novice programming. In proceedings of the IEEE International Conference on Advanced Learning Technologies, Niigata, Japan, 18–20 July (pp. 822–824). doi: 10.1109/ICALT.2007.267 [IEEE] [Acceptance rate: 23.5%]
Kumar, V. (2007). Inspectable collaborations in online distributed classrooIn proceedings of the IEEE International Conference on Advanced Learning Technologies, Niigata, Japan, 18–20 July (pp. 909–910). doi: 10.1109/ICALT.2007.162 [IEEE] [Acceptance rate: 23.5%]
Kumar, V. (2007). Innovations in e-pedagogy. In proceedings of the IEEE International Conference on Advanced Learning Technologies, Niigata, Japan, 18–20 July (pp. 945–946). doi: 10.1109/ICALT.2007.160 [IEEE] [Acceptance rate: 23.5%]
Ma, W., & Kumar, V. (2007). Toward an ontology for pedagogical metadata, In C. Montgomerie & J. Seale (Eds.), In proceedings of the World Conference on Educational Multimedia, Hypermedia & Telecommunications, Vancouver, Canada, 25 June (pp. 4116–4122). Chesapeake, VA: AACE
Rao, S., Kumar, V.S. Hatala, M., & Gasevic, D. (2007). Mixed-initiative interfaces to recognize, regulate, and reflect programming styles. In proceedings of the 20th International Joint Conference on Artificial Intelligence Workshop, Hyderabad, India, 6–12 January (pp. 71–78). [Acceptance rate: 34.4%]
Kumar, V.S. (2007). Capturing and disseminating shareable learning experiences. In proceedings of the 20th International Joint Conference on Artificial Intelligence Workshop, Hyderabad, India, 6–12 January (pp. 107–114). [Acceptance rate: 34.4%]
Leacock, T.L., Winne, P.H., Kumar, V.S. & Shakya, J. (2006). Using technology to support self-regulation in university writing. In proceedings of the 6^th IEEE International Conference on Advanced Learning Technologies, Kerkrade, Netherlands, 5–7 July (pp. 1073-1075). doi: 10.1109/ICALT.2006.1652632 [IEEE] [Acceptance rate: 27.6%]
Rao S., Kumar, V.S., Hatala M., Gasevic D. (2006). Capturing Programming Styles in a Mixed-Initiative Coding Environment, Poster at the I2LOR Conference, November, Montreal, Canada.
Rao, S., Kumar, V.S., Hatala M., Gasevic D. (2006). Mixed-Initiative Interfaces to Recognize, Regulate, and Reflect Programming Styles, Poster at the I2LOR Conference, November, Montreal, Canada.
Kumar, V.S. (2006). Instructional Design and Development Workflow for Online Course Development, White paper, Open University of Sri Lanka.
Kumar, V.S. (2006). Post-Graduate Programme in Instructional Design and Digital Education, White paper, Open University of Sri Lanka.
Kumar, V.S. Groeneboer, C., Chu, S., Jamieson-Noel, D., Xin, C., & Rao, S. (2005). Sustainable online learning technologies for students. Paper presented at the 7^th International Conference on Cognitive Systems, New Delhi, India, 14–15 December (pp. n/a). Available from: http://www.niitcrcs.com/iccs/. [Acceptance rate: 33.3%]
Rao, S., Vora, R., Dhar, S., Salvi, S., & Kumar, V. (2005). Development of a transport layer using SPaper presented at the 7^th International Conference on Cognitive Systems, New Delhi, India, 14–15 December (pp. n/a). Available from: http://www.niitcrcs.com/iccs/. [Acceptance rate: 33.3%]
Brokenshire, D., Kumar, V.S. & Shakya, J. (2005). Providing information for mixed initiative interaction via interoperable user modeling. In D.W. Aha, & G. Tecuci (Eds.), Mixed-initiative problem-solving assistants. In proceedings of the American Association of Artificial Intelligence Fall Symposia, Arlington, Virginia, 4–6 November (pp. 16-21). Menlo Park, California: The AAAI Press.
Doherty, L., Whitney, M., Shakya, J., Jordanov, M., Lougheed, P., Brokenshire, D., Rao, S., Menon, S., & Kumar, V. (2005). Mixed-initiative in computer games: Algorithmic content creation in open-ended worlds. In D.W. Aha, & G. Tecuci (Eds.), Mixed Initiative Problem-Solving Assistants. In proceedings of the American Association of Artificial Intelligence Fall Symposia, Arlington, Virginia, 4–6 November (pp. 46-50). Menlo Park, California: The AAAI Press.
Doherty, L., Lougheed, P., Brokenshire, D., Jordanov, M., Rao, S., Shakya, J., & Kumar, V. (2005). Recognizing opportunities for mixed-initiative interactions in novice programming. In D.W. Aha, & G. Tecuci (Eds.), Mixed Initiative Problem-Solving Assistants. In proceedings of the American Association of Artificial Intelligence Fall Symposia, Arlington, Virginia, 4–6 November (pp. 51-56). Menlo Park, California: The AAAI Press.
Lougheed, P., Brokenshire, D., Bogyo, B., Jordanov, M., & Kumar, V. (2005). Applications of mixed-initiative interfaces and intelligence to electronic portfolios. In D.W. Aha, & G. Tecuci (Eds.), Mixed Initiative Problem-Solving Assistant. In proceedings of the American Association of Artificial Intelligence Fall Symposia, Arlington, Virginia, 4–6 November (pp. 86-88). Menlo Park, California: The AAAI Press.
Rao, S., Menon, S., Shakya, J., Jordanov, M., Doherty, L., & Kumar, V. (2005). The importance of contexts in mixed-initiative interactions for online help. In D.W. Aha, & G. Tecuci (Eds.), Mixed Initiative Problem-Solving Assistants: In proceedings of the American Association of Artificial Intelligence Fall Symposia, Arlington, Virginia, 4–6 November (pp. 100-105). Menlo Park, California: The AAAI Press.
Shakya, J., Menon, S., Doherty, L., Jordanov, M., & Kumar, V. (2005). Recognizing opportunities for mixed-initiative interactions based on the principles of self-regulated learning. In D.W. Aha, & G. Tecuci (Eds.), Mixed Initiative Problem-Solving Assistants. In proceedings of the American Association of Artificial Intelligence Fall Symposia, Arlington, Virginia, 4–6 November (pp. 117-122). Menlo Park, California: The AAAI Press.
Lougheed, P., Bogyo, B., Brokenshire, D., & Kumar, V.S. (2005). Formalizing electronic portfolios in the SPARC ePortfolio tool. In D. Dicheva, & L. Aroyo (Eds.). In proceedings of the 3^rd International Workshop on Applications of Semantic Web Technologies for E-Learning at the 3^rd International Conference on Knowledge Capture, Banff, Canada, 2–5 October (pp. 9-18).
Menon, S., Shakya, J., & Kumar, V. (2005). Rule-based mixed-initiative scaffolding. In D. Dicheva, & L. Aroyo (Eds.), In Proceedings of the International Workshop on Applications of Semantic Web Technologies for E-Learning at the 3^rd International Conference on Knowledge Capture, Banff, Canada, 2–5 October (pp. 19-26).
Shakya, J., & Kumar, V. (2005). Capturing and disseminating the principles of self-regulated learning in an ontological framework. In D. Dicheva, & L. Aroyo (Eds.). In proceedings of the 3^rd International Workshop on Applications of Semantic Web Technologies for E-Learning at the 3^rd International Conference on Knowledge Capture, Banff, Canada, 2–5 October (pp. 27-35).
Kumar, V.S. Winne, P., Hadwin, A., Nesbit, J., Jamieson-Noel, D., Calvert, T., & Samin, B. (2005). Effects of self-regulated learning in programming. In D. J.-T. Yang, & Kinshuk (Eds.). In proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies, Kaohsiung, Taiwan, 5–8 July (pp. 383–387). IEEE Computer Society Press. doi: 10.1109/ICALT.2005.131 [Acceptance rate: 23%] [IEEE]
Kumar, V.S. Nesbit, J., & Han, K. (2005). Rating learning object quality with distributed Bayesian belief networks. In D. J.-T. Yang, & Kinshuk (Eds.). In proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies, Kaohsiung, Taiwan, 5–8 July (pp. 685–687). doi: 10.1109/ICALT.2005.230 [Acceptance rate: 23%] [IEEE]
Kumar, V.S. Groeneboer, C., & Chu, S. (2005). Sustainable learning ecosystem, tutorial. In D. J.-T. Yang, & Kinshuk (Eds), IEEE International Conference on Advanced Learning Technologies. Kaohsiung, Taiwan, 5–8 July. IEEE Computer Society Press. [IEEE]
Hadwin, A. F., Nesbit, J. C., Jamieson-Noel, D., Winne, P. H., & Kumar, V. (2005). Tracing self-regulated learning in an e-learning environment. Understanding complex and dynamic learning processes as situated in context: The case of self-regulated learning. Paper presented at the American Educational Research Association, Division C – Learning and Instructions, Montreal, Canada, April (pp. n/a).
Lougheed P., Bogyo B., Brokenshire D., Kumar, V.S. (2005). Formalizing electronic portfolios, Poster at the I2LOR – E-Learning for the Future: from Content to Services, 2nd Annual Scientific Conference of LORNET research network.
Shakya J., Kumar, V.S. (2005). Ontological representations of self-regulated learning Models, Poster at the I2LOR – E-Learning for the Future: from Content to Services, 2nd Annual Scientific Conference of LORNET research network, Vancouver, Canada.
Brokenshire D., Kumar, V.S. (2005). An ontological framework to collect and disseminate user model data, Poster, I2LOR – E-Learning for the Future: from Content to Services, 2nd Annual Scientific Conference of LORNET research network, Vancouver, Canada.
Bogyo B., Brokenshire D., Lougheed P., Jordanov M., Doherty L., Kumar, V.S. (2005). Populating and metatagging electronic profiles with gStudy learning objects, Poster at the I2LOR – E-Learning for the Future: from Content to Services, 2nd Annual Scientific Conference of LORNET research network, Vancouver, Canada.
Doherty L., Kumar, V.S. (2005). Mixed-initiative and ontology-based agents as learning objects in educational games, Poster at the I2LOR – E-Learning for the Future: from Content to Services, 2nd Annual Scientific Conference of LORNET research network, Vancouver, Canada.
Rao S., Kumar, V.S. (2005). Context-aware mixed-initiative interactions for online help, Poster at the I2LOR – E-Learning for the Future: from Content to Services, 2nd Annual Scientific Conference of LORNET research network, Vancouver, Canada.
Hatol J., Kumar, V.S. (2005). Semantic representation and interaction in dance objects using Laban notation, Poster at the I2LOR – E-Learning for the Future: from Content to Services, 2nd Annual Scientific Conference of LORNET research network, Vancouver, Canada.
Jiang Y., Polydorou P., Kumar, V.S. (2005). Performance evaluation of multimedia conferencing for PDA Users in collaborative learning environments, Poster at the I2LOR – E-Learning for the Future: from Content to Services, 2nd Annual Scientific Conference of LORNET research network, Vancouver, Canada.
Bogyo, B., Lougheed, P., Kumar, V.S. & Fee, J. (2004). ePortfolio systems serving multiple clientele. In proceedings of the 2^nd International conference on ePortfolio, La Rochelle, France, 28–29 October (pp. 17–24).
Brokenshire, D., Bogyo, B., & Kumar, V. (2004). Towards an upper-level ontology for information exchange in ePortfolios. In proceedings of the 2^nd International conference on ePortfolio, La Rochelle, France, 28–29 October (pp. 25–30).
Lougheed, P., Johnson, R., Jordanov, M., Bogyo, B., Kumar, V.S. & Fee, J. (2004). Securing electronic portfolios. In proceedings of the 2^nd International conference on ePortfolio, La Rochelle, France, 28–29 October (pp. 264–272).
Fee, E. J., Kumar, V.S. Lougheed, P., Bogyo, B., Jordanov, M., & Johnson, R. (2004). SPARC ePortfolios: Issues for research. In proceedings of the 2^nd International conference on ePortfolio, La Rochelle, France, 28–29 October (pp. 310–317).
Choi, A., Kumar, V.S. Liou, W., & Groeneboer, C. (2004). An Integrated Cost Model for Blended Learning Environments. In L. Cantoni, & C. McLoughlin (Eds.). In proceedings of the World Conference on Educational Multimedia, Hypermedia and Telecommunications, Lugano, Switzerland, 21–26 June (pp. 1012–1019). Chesapeake, VA: AACE.
Kumar, V. (2004). An instrument for providing formative feedback to novice programmers. In Annual Meeting of American Educational Research Association, Division I – Education in the professions. Paper session– Relationship between teaching and learning (13.032). San Diego, CA, USA, 12–16 April (p. 72). San Diego, CA: AERA.
Kumar, V.S. Shakya, J., Groeneboer, R.C., & Chu, S. (2004). Toward an ontology of teaching strategies. In F. Akhras, & B. du Bolay (Eds.), Workshop on modelling human teaching tactics and strategies. In proceedings of the International Conference on Intelligent Tutoring Systems, Workshop on Teaching Tactics and Strategies, 30 August–3 September 2004, Maceió, Alagoas, Brazil, (pp. 71–80). [Acceptance rate: 39%]
Kaufman D., Bizzochi J., Calvert T., Kumar, V.S., Fenrich P. (2004). Comment les jeux éducatifs, les simulations et les jeux de simulation favorisent-ils l’apprentissage? (colloque/atelier). Les simulations dans le domaine de la santé, 72 Congres de l’Acfas, Université du Québec à Montréal, Montreal, Quebec, Canada, (pp. n/a).
Tang, L., Wiese, K., & Kumar, V. (2004). Genetic algorithm based OSPF network routing using LEDA. In A.Y. Tawfik, & S.D. Goodwin (Eds.), Advances in Artificial Intelligence. In proceedings of the 17^th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI, London, Canada, 17–19 May (pp. 571–572). doi: 10.1007/978-3-540-24840-8_62
Han, K., Kumar, V.S. & Nesbit, J. (2003). Rating learning object quality with Bayesian belief networks. In A. Rossett (Ed.), In Proceedings of the World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2003 (pp. 1598–1601). Chesapeake, VA: Association for the Advancement of Computing in Education.
Kumar, V.S. (2002). Embedding human reasoning in soft computing. Second International Conference on Hybrid Intelligent Systems, Santiago, Chile, 1–4 December (pp. 625–633). [Acceptance rate: 63.6%]
Poonian J., Kumar, V.S., Wiese K. (2002). Performance analysis of multiplexed stereoscopic videos in a CAVE environment. Technical Report, SFU Surrey.
Kumar, V.S., McCalla, G.I., & Greer, J.E. (2001). Personalized contexts in help systeIn E. Stroulia, & S. Matwin (Eds.), Advances in artificial intelligence. In proceedings of the 14^th Canadian Conference on Artificial Intelligence, Ottawa, Canada, 7–9 June (pp. 162–171). Berlin, Germany: Springer Berlin Heidelberg. doi: 10.1007/3-540-45153-6_16 [Springer]
Kumar, V.S., Greer, J.E., & McCalla, G.I. (2000). Pedagogy in peer-supported helpdesks. In proceedings of the International Conference on Knowledge Based Computer Systems, August 2000, Mumbai, India (pp. 205–216).
Kumar, V.S. McCalla, G.I., & Greer, J.E. (1999). Helping the peer helper. In proceedings of the International Conference on Artificial Intelligence in Education, Le Mans, France, 19–23 July (pp. 325–332).
Kumar, V. (1999). User models for helping the helper in peer help networks. In J. Kay (Ed.), In proceedings of the International Conference on User modeling (pp. 335–336). Vienna, Austria: Springer Vienna. doi: 10.1007/978-3-7091-2490-1_41 [Springer]
Greer, J.E., McCalla, G.I., Cooke, J., Collins, J.A., Kumar, V.S. Bishop, A., & Vassileva, J. (1998). The intelligent helpdesk: Supporting peer-help in a university course. In B.P. Goettl, H.M. Halff, C.L. Redfield, & V.J. Shute (Eds.), In proceedings of the International Conference on Intelligent tutoring systems, San Antonio, TX, USA, 16-19 August (pp. 494–503). Berlin, Germany: Springer-Verlag Berlin Heidelberg. doi: 10.1007/3-540-68716-5 [Springer]
Vassileva, J., Deters, R., Greer, J.E., McCalla, G.I., Kumar, V.S. & Mudgal, C. (1998). A multi-agent architecture for peer-help in a university Course. Workshop on Pedagogical Agents, In proceedings of the International Conference on Intelligent Tutoring Systems, San Antonio, TX, USA, August, (pp. 64–68).
Vassileva, J., Greer J.E., McCalla G.I., Deters R., Zapata D., Mudgal C., Kumar, V.S., Bowes J. (1998). Integrating Cognitive Tools for Peer Help: the Intelligent Intranet Peer Help-Desk Project. TeleLearning Networks of Centres of Excellence Conference, Vancouver, Canada, November 14. (Best Poster Award).
Kumar, V.S., Greer J.E., McCalla G.I. (1998). Software Tools to Support Peer Helpers: How to react when someone yells HELP! Poster. TeleLearning Networks of Centres of Excellence Conference, Vancouver, Canada, November 14.
Collins, J.A., Greer, J.E., Kumar, V.S., McCalla, G.I., Meagher, P., & Tkatch, R. (1997). Inspectable user models for just-in-time workplace training. In A. Jameson, C. Paris, & C. Tasso (Eds.), User modeling. Paper presented at The Sixth International Conference on User Modeling, Chia Laguna, Sardinia, Italy (pp. 327–337). Vienna, Austria: Springer Vienna. doi: 10.1007/978-3-7091-2670-7_33 [Best paper award]
Greer, J.E., McCalla, G.I., Kumar, V.S. Collins, J.A., & Meagher, P. (1997). Facilitating Collaborative Learning in Distributed Organizations. In proceedings of the Second International Conference on Computer Support for Collaborative Learning, Toronto, ON, Canada, December (pp. 76–85).
McCalla, G.I., Greer, J.E., Kumar, V.S., Meagher, P., Collins, J.A., Tkatch, R., & Parkinson, B. (1997). A peer help system for workplace training. In proceedings of the 8th World Conference on Artificial Intelligence in Education, Kobe, Japan, August (pp. 183–190).
Kumar, V.S. (1996). Computer-supported collaborative learning: Issues for research. In proceedings of the 8^th Annual Graduate Symposium on Computer Science, University of Saskatchewan, Canada, (pp. n/a).
Kumar, V.S. Anjaneyulu K.S.R., (1995) An evaluation strategy for computer-aided language learning courseware. In proceedings of the Second International Symposium on Cognition and Education: A Multidisciplinary Perspective, Varanasi, India, December (pp. n/a).
Kumar, V.S., (1992) Collaborative Intelligent Tutoring Systems: A Learning Environment. In proceedings of the 1st African Conference on Research in Computer Science, Yaounde, Cameroun, October (pp. n/a).
Kumar, V.S., Srinivas P., and Anjaneyulu K.S.R., (1992) A Review of Techniques in Intelligent Language Tutoring SysteIn proceedings of the East-West Conference on Emerging Technologies in Education, Moscow, Russia, April (pp. n/a). [Best paper award].

14. Presentations

(Presented: 122)

Presentations, Invited talks, Keynotes, Symposiums, Workshops, Tutorials, Blog

Connors, M., Kumar, V.S., Bredeson, C. (2023). Artificial Intelligence in Astronomy Education: Panacea, Amanuensis, or Catastrophe?, 2023 Canadian Astronomical Society annual general meeting, Penticton, BC, June 12-16. https://casca2023.ok.ubc.ca/en
Kumar, V.S. (2023, Sep), Invited Lecture COMP694 – Can explainable AI offer remedial feedback to learners in academic writing? Quick answer – not yet!
Kumar, V.S. (2022, Dec), Keynote: Higher Education and Technology, International Symposium on Computing Education Perspectives for Online Learning, Avinashilingam University, Coimbatore, India.
Kumar, V.S., Ally, M., Tsinakos, A., Helmi, N. (2022), In Proceedings of Pan-Commonwealth Forum (PCF10), Cognification in Education: Emerging Trends
Paulmani, G., Sodhi, S., Jilal, T., Kumar, V.S. (2022), In Proceedings of Pan-Commonwealth Forum (PCF10), Agile Learning: Infusing Agility in an Online Course
Soluk, P., Greenwood-Lee, J.,, Peschke, J., Beltaos, A., Kumar, V.S., Munyikwa, K., Babiuk, S., Rechseidler-Zenteno, S. (2022), In Proceedings of Pan-Commonwealth Forum (PCF10), Building educational resilience in mathematics delivery and assessment
Butts Scott, J., Ingram, K., Munyikwa, K., Macleod, D., Kumar, V.S., George, S., Reckseidler-Zenteno, S., MacFarlane, R., Mulligan, K. (2022), In Proceedings of Pan-Commonwealth Forum (PCF10), Preparing lifelong learners for a diversifying economy through microcredentials and laddering at Athabasca University
Kumar, V.S. (2021, Nov), Keynote: Cognification in Teaching, Learning and Training, Virtual symposium of Chongqing Open University, Beijing Normal University, and Athabasca University.
Kumar, V.S. (2021, Oct), Keynote: Learning Analytics: Learning, Teaching and Training in a Cognified World, International Conference on Intelligent Computing Systems, Online from Kodaikanal, India.
Kumar, V.S. (2021, Oct), Round Table: CGS MOOC ‘Online Supervision’, Online, hosted by the University of Calgary, Canada.
Kumar, V.S. (2021, Sep), Round Table: Technological ecosystem as a tool for public policy, International Symposium of Research Integration in the “Sífilis Não!” Project, Lisbon, Portugal.
Kumar, V.S. (2021), Artificial Intelligence and Education, CTV Morning Live, https://news.athabascau.ca/faculty/faculty-of-science-and-technology/artificial-intelligence-and-education-dr-vive-kumar-featured-on-ctv-morning-live-calgary/
Kumar, V.S. (2020), CFI web page, Learning Analytics Research Cluster, https://navigator.innovation.ca/en/facility/athabasca-university/learning-analytics-research-cluster
Seanosky, J., Kelloway, M., Kumar, V.S. (2020). Demo – VR and AR for Energy Industry Training. iLRN 2020: 6th International Conference of the Immersive Learning Research Network, http://immersivelrn.org/ilrn2020, online, Jun 21-25.
Seanosky, J., Kelloway, M., Kumar, V.S. (2020). Agile VR Training for Industry and University Students. iLRN 2020: 6th International Conference of the Immersive Learning Research Network, https://ilrn2020.sched.com/exhibitor/agile_vr_rraining_for_industry_and_unive.214lpuu7, online, Jun 21-25.
Kumar, V.S. Boulanger, D., & Fraser, S.N. (2019). Causal Inferencing with Observational Data for Evidence-based Pedagogy. Workshop for the 9th International Conference on Technology for Education T4E 2019, Goa, India, Dec. 9-11.
Kumar, V.S. & Boulanger, D. (2019). AI-Powered Research Methods in Education. COHERE 2019 Conference. Calgary, Canada. Nov. 14-15.
Kumar, V.S. Fraser, S.N., & Boulanger, D. (2019). Learning Analytics: The Corner Stone of Evidence-based Pedagogy. Alberta Research Network. Edmonton, Canada. Oct. 16.
Kumar, V.S. Seanosky, J., Guillot, R., Boulanger, D., Guillot, I., Jacques, D., & Guillot, C. (2019). Gravité – a data analytics framework. Athabasca University Learning Conference 2019 (AULC 2019), Edmonton, Canada. Sept. 27-28.
Kumar, V.S. Fraser, S.N., & Boulanger, D. (2019). Life-long Learning Healthcare and Evidence-based Education: An autonomous research agent. Athabasca University Learning Conference 2019 (AULC 2019), Edmonton, Canada. Sept. 27-28.
Wirth, G., & Kumar, V. (2019). We Revolutionize Music Education: The Neuromusic Education Simulator (NES). ARS Electronica 2019 – Festival for Art, Technology & Society. Linz, Austria, Sept. 5-9.
Wirth, G., Kumar, V. & Liebl V. (2019). AIxMusic Cultural Organizations. ARS Electronica 2019 – Festival for Art, Technology & Society. Linz, Austria, Sept. 5-9.
Kumar, V.S. Boulanger, D., & Fraser, S.N. (2019). Observational Studies and Learning Analytics. Workshop for the International Conference on Smart Learning Environments (ICSLE 2019), Denton, USA, March 18-20.
Kumar, V.S. Boulanger, D., & Fraser, S.N. (2018). Inferring Causal Effects from Learning Analytics. Workshop for the 9th International Conference on Technology for Education T4E 2018, pp. 188-193, Chennai, India, Dec. 11-13.
Symposium on Revolutionizing the Science of Music Education hosted by MpF (Music Padägogische Forschungszentrum) and VBC. Presenters: Elke Hesse, Gerald Wirth, Vivekanandan S. Kumar, and Thomas D. Parsons. Vienna, Austria (Oct. 2018)
Learning Analytics: The Intelligence Driving Anthropomorphic Pedagogical Agents (David Boulanger, Vivekanandan Kumar), presented by David Boulanger at COHERE 2018 Conference, Quebec, Canada (Oct. 2018)
Boulanger, D., Kumar, V.S. & Fraser, S.N. (2018). Automating Educational Research Through Learning Analytics: Data Balancing and Matching Techniques. In R. Nkambou, R. Azevedo, & J. Vassileva (eds) Lecture Notes in Computer Science. Springer, Switzerland, p. 519. Tutorial presented at the 2018 Intelligent Tutoring Systems (ITS), 14th International Conference, Montreal, Canada, June 11-15, 2018. DOI: https://doi.org/10.1007/978-3-319-91464-0.
Freeman, W., Lock, J., Cleveland-Innes, M., Childs, E., Gauvreau, S., Kumar, V.S. Lakhal, S., Nelson, D., Ould Moulaye, C., Paulson, E., Sharif., A, Snow, K., Taylor, M., Vaughan, N., Veletsianos, G., & Waddington, L. (2018, May). A Developing Research Agenda for Higher Education Reform through Blended and Online Learning, Symposium presented at Congress 2018: Canadian Society for Studies in Higher Education, Regina, Saskatchewan.
Chang, MH., Chang, M., Kuo, R., Essalmi, F., Kumar, V.S., Kung, HY. (2018). Annotation Recommendation for Online Reading Activities. In: Chang M. et al. (eds) Challenges and Solutions in Smart Learning. Lecture Notes in Educational Technology. Springer, Singapore, pp: 135-140. Presented at the 2018 International Conference on Smart Learning Environments (ICSLE) Beijing, China, March 18-20, 2018. DOI: https://doi.org/10.1007/978-981-10-8743-1_19.
Kumar, V.S., Fraser S., Boulanger D. (2018) Open Research and Observational Study for 21st Century Learning. In: Chang M. et al. (eds) Challenges and Solutions in Smart Learning. Lecture Notes in Educational Technology. Springer, Singapore, pp: 121-126. Workshop presented at the 2018 International Conference on Smart Learning Environments (ICSLE) Beijing, China, March 18-20, 2018. DOI: https://doi.org/10.1007/978-981-10-8743-1_17.
Analytics to transform higher education learning and teaching, International conference on Social, Mobile, Analytics and Cloud Computing: Reshaping the future, Coimbatore, India (Feb. 2018)
Learning Analytics for Higher Educational Reform: with Blended Online Learning and Teaching, Workshop on BOLT/HER at COHERE conference on Canada’s Collaboration for Online Higher Education Research, Toronto, Canada (Oct. 2017)
Music Learning Analytics System: Vienna Boys Choir’s Music Instruction through the Wirth Method, Third Neuromusic Research Conference: Achieving Research Excellence in Neuromusic Applied-pedagogy (ARENA), Vitznau, Switzerland (Aug. 2017)
Kumar, V.S. Boulanger, D., & Fraser, S. (2017). Matching Techniques: Hands-on Approach to Measuring and Modeling Educational Data. Tutorial at the 18th International Conference on Artificial Intelligence in Education (AIED 2017), June 28 – July 2, 2017, Wuhan, China.
Jeremic, Z., Kumar, V.S. & Graf, S. (2017). MORPH: Supporting the Integration of Learning Analytics at Institutional Level, 7th International Conference on Learning Analytics and Knowledge, Vancouver, Canada, pp. 596-597, March 13–17.
Kumar, V.S. Romero, J., Romyn, D., Essa, A., Chen, N-S., Spector, J., Kinshuk, Paulmani, G. (2016), Open Research, Panel at the Canadian Science Policy Conference: A New Innovation Agenda for Canada: What are we building, (pp. N/A), Ottawa, ON, Canada, November 8-10.
Neuromusic Research and Learning Analytics, Achieving Research Excellence in Neuromusic Applied-pedagogy (ARENA), Vienna, Austria (Nov. 2016)
Music Analytics for Teaching, Learning, and Performance, Achieving Research Excellence in Neuromusic Applied-pedagogy (ARENA), Vienna, Austria (Nov. 2016)
Learning Analytics – Enhancing accessibility in Online and Blended Learning, Impact Universal Design for Learning Conference, Edmonton, Canada (Jan. 2016)
Computational Models of Metacognition – Workshop on Cognitive Computing, McGraw-Hill Education, Boston, MA, USA (Nov. 2015)
Boulanger, D., Seanosky, J., Govindarajan, K., Kumar, V.S., Kinshuk (2015), Big Data Learning Analytics with OpenACRE, Workshop at the CyberSummit: Generation D – Data Scientists of Tomorrow, (pp. N/A), Banff, AB, Canada, September 29-30.
Seanosky, J., Jacques, D., Boulanger, D., Kumar, V.S., Kinshuk (2015), Protecting students’ information in the context of learning analytics, Presentation at the CyberSummit: Generation D – Data Scientists of Tomorrow, (pp. N/A), Banff, AB, Canada, September 29-30.
Yang, J., Kumar, V.S., Kinshuk (2015), Evolution of LMSs: findings from the comparison of social learning platforms for music learning, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Mitchnick, D., Kumar, V.S., Fraser, S. (2015), An integrated computational model to diagnose Attention Deficit Hyperactivity Disorder (ADHD), Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Dai, Q., Kumar, V.S., Kinshuk (2015), Traffic flow optimization, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Clemens, C., Kumar, V.S., Kinshuk (2015), Writing analytics, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Sodjahin, B., Reckseidler-Zenteno, S., Kumar, V.S., Lin, S., Wang, J. (2015), Machine learning techniques to identify and model low nutrient response genes in pseudomonas aeruginosa bacterium, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Govindarajan, K., Kumar, V.S., Kinshuk (2015), Particle swarm optimization for learning analytics, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Harris, S., Kumar, V.S., Kinshuk (2015), Using Natural Language Processing to Identify Students Experiencing Academic Difficulty in a Digital Education Environment, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Guillot, I., Kumar, V.S., Kinshuk (2015), Measuring the listening skills of online learners, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Guillot, C., Kumar, V.S., Kinshuk (2015), Music analytics, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Guillot, R., Kumar, V.S., Kinshuk (2015), Analytics in mathematical problem solving, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Boulanger, D., Kumar, V.S., Kinshuk (2015), LAMBDA: A learning analytics platform, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Boulanger, D., Kumar, V.S., Kinshuk (2015), SCALE: Computational models of learning outcomes, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Seanosky, J., Kumar, V.S., Kinshuk (2015), Ethics, security, privacy and anonymity in learning analytics, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Pinnell, C., Kumar, V.S., Kinshuk (2015), Scaffolding SRL activities in online learning, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Pinnell, C., Kumar, V.S., Kinshuk (2015), Continuous measurement of course quality, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Fakinlede, I., Kumar, V.S., Kinshuk (2015), GIOIA: Linguistic competence in conversation agents, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Kumar, V.S., Kinshuk (2015), Explicit pedagogy, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Govindarajan, K., Kumar, V.S., Kinshuk (2015), Software-Defined networking and learning analytics, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Paulmani, G., Pinnell, C., Kumar, V.S., Kinshuk (2015), Curricular learning analytics, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Virani, R., Kumar, V.S., Kinshuk (2015), Modelling and technology perspectives of big data learning analytics, Presentation at the Athabasca University Graduate Student Conference, 25-27 September, (pp. N/A), Edmonton, Canada.
Open Learning Analytics with Caliper, Learning Impact Leadership Institute, with Al Essa, Kinshuk, David Boulanger, and Neil Zimmerman IMS Global Conference, Atlanta, GA, USA (Apr. 2015)
Collaborative Research at Athabasca University: How to Initiate and Maintain Collaborative Projects Internal and External to the University with a Focus on Collaborations Involving Big Data, Invited talk, AU Research forum, Edmonton, AB, Canada (Mar. 2015)
Learning Analytics: Opportunities for AU, Invited talk, AU Research forum (2015)
Learning Analytics, with Kinshuk & J. Peschke, ATLE Conference, Edmonton, Canada (Nov. 2014)
Learning Analytics in Smart Learning Environments, Invited talk, Asia Pacific Educational Research Association (APERA), Hong Kong, China (Nov. 2014)
Statistical Analysis – Introductory, Intermediate, and Advanced R, Invited tutorial, Athabasca University, Canada (2012, 2013, 2014, 2015)
Big Data Learning Analytics, Invited presentation, EDTECH Forum: Practices, Ideas, and Experiences, Edmonton, AB, Canada (Mar. 2014)
Kumar, V.S. (2014–) Research blog, http://LearningAnalytics.ca/research
Why Learning Analytics Matter – changing the way you think about ROI, Invited talk, Canadian Society for Training and Development (CSTD), Calgary, Canada (Nov. 2013)
Ubiquitous Learning Analytics, Invited talk, Western Education Ministers of Canada, Edmonton, AB, Canada (Sep. 2013)
Unfolding Big data Learning Analytics, Invited talk, Canadian Institutional Research and Planning Association (CIRPA-ACPRI), Montreal, QC, Canada (Mar. 2013)
Creative LEGO Robotics, Invited presentation, Science and Technology Day, Amiskwaciy School, Edmonton, AB, Canada (Mar. 2013)
Causal modeling – concepts and implementation, Invited Presentation, The 1st International Graduate Research Workshop on Adaptivity and Personalization in Informatics, Edmonton, AB, Canada (Mar. 2013)
Data Analytics, Invited discussion, The 1st International Graduate Research Workshop on Adaptivity and Personalization in Informatics, Edmonton, AB, Canada (Mar. 2013)
Analyzing large datasets (Learning analytics touching boundaries of academic analytics), Invited presentation, The 1st International Graduate Research Workshop on Adaptivity and Personalization in Informatics, Edmonton, AB, Canada (Mar. 2013)
Vathalloor, J., Kumar, V.S. (2013), Assessment of Instructional Design Using Student-Content & Tutor-Content Interaction Data, Presentation at the 1st International Graduate Research Workshop on Adaptivity and Personalization in Informatics, 23-24 March, pp. 23-24, Edmonton, Canada
Clemens, C., Mitchnik, D., Kumar, V.S. (2013), Competence Models in Writing, Presentation at the 1st International Graduate Research Workshop on Adaptivity and Personalization in Informatics, 23-24 March, p. 25, Edmonton, Canada
Glass, G., Kumar, V.S. (2013), Culture of Software, Presentation at the 1st International Graduate Research Workshop on Adaptivity and Personalization in Informatics, 23-24 March, pp. 27-28, Edmonton, Canada
Forner, L., Kumar, V.S. (2013), Assessing Instructional Design of Online Courses Using Bayesian Belief Networks, Presentation at the 1st International Graduate Research Workshop on Adaptivity and Personalization in Informatics, 23-24 March, pp. 29-30, Edmonton, Canada
CyberSafe – securing online assets for students, Invited presentation, Athabasca University, Canada (2012)
Learning Preferences and Self-Regulation – Design of a learner-directed e-learning model, Invited Presentation, by Kumar, V. and Lee, S., SLE 2012, Canada (Mar. 2012)
Quality of Online Courses – a Bayesian approach, Invited Presentation, by Kumar, V. and Forner L., SLE 2012, Canada (Mar. 2012)
Reusable Intelligent Pedagogical Agents, Invited Presentation, by Kumar, V. and Fakinlede, I., SLE 2012, Canada (Mar. 2012)
Tracking Novice Programming Efforts using CTAT’s Cognitive Tutors, Invited Presentation, by Kumar, V.S., Boulanger D., and Chomiak S., SLE 2012, Canada (Mar. 2012)
Learning Analytics, Invited talk, Hindustan University, India (Dec. 2012).
Women Empowerment and ICT, Invited talk, Madras University, India (2012, 2013)
Respectful Workplace, Invited presentation, Athabasca University, Canada (2012)
Fakinlede, I., Kumar, V.S. (2012), Reusable intelligent pedagogical agents, First international symposium on smart learning environments, Edmonton, AB, Canada.
Online Learning at the Crossroads, Invited talk, Anna University, India (Dec 2011)
Human Resources Management from a Distance, Invited talk, Technical Teachers Training Institute, Madras University, India (Dec. 2011)
Friend or Foe: Equivalence Classes in Causal Models of Learner Competencies, Invited talk, Athabasca University, Canada (Dec 2011)
Towards a Virtual Learning Environment Sandbox, talk at ICTEE 2011
Agile Course Development and Characterization, Invited presentation, School of Computing and Information Systems, Athabasca University, Canada (Nov. 2010)
Annotation, Code Review and Reading Comprehension in Marginalia, Invited presentation, Athabasca University, Canada (June 2010)
Creating online exams, Invited presentation, Athabasca University, Canada (2010)
Kannan G, Somasundaram T.S., Kumar, V.S. (2010). SaaS based E-Learning Management System, International Conference Tamil Semmozhi Manadu, Coimbatore, India.
Learning Analytics, keynote address at the international conference on recent trends in computing and communications, Chennai, India (Dec. 2009)
Writing eTexts, Invited presentation, Athabasca University, Canada (2009)
What Students Do and Learn – a ‘learning kit’ perspective, Invited presentation, Learning Services Conference, Athabasca University, Canada (Sep. 2008)
Moodle training, Invited presentation, Athabasca University, Canada (2008)
Mixed-Initiative Intelligent Interactions and Interfaces, E-LEARN 101 — Standards, Systems, and Interoperability, Invited Keynote Address, Symposium on Learning Object Repository Networks, LORNET, Saskatoon, Canada (June 2005)
Self-sustaining ePortfolio, keynote, BCEd Online conference on Building Global Learning Communities, Richmond, BC, Canada (April 2005)
Sustainable eLearning Ecosystem in Post-Secondary Online Education, Invited tutorial, ICALT, Kaohsiung, Taiwan, (July 2005)
Learning to be a Graduate Supervisor, Invited presentation, STLHE, Ottawa, (Jun 2004)
Assemble-to-order Learning Management System, Invited presentation, STLHE, Ottawa (June 2004)
Shakya, J. Kumar, V. Hatala, M. (May 2004). Constructing Ontologies for Semantic Web Applications, Tutorial, I2LOR, LORNET Conference, Montreal.
Kumar, V.S. (2004). Learning Object Repository Interoperability – Overview of Projects, I2LOR, LORNET Conference, Montreal.
Kumar, V.S. (2004). LORNET Theme 1 Workshop on Interoperability, Simon Fraser University, Surrey campus, full-day workshop, Surrey, BC, Canada.
Kumar, V.S. (2004). Ontology Research: What, Why, and How, Laboratory of Ontology Research, Simon Fraser University, Surrey campus, full-day workshop, Surrey, BC, Canada.
Teaching and learning with technology, Invited presentation, Athabasca University, Canada (2003)
Kumar, V.S., Groeneboer R.C., Chu S. (Dec 2002). Sustainable Learning Ecosystem in Post-Secondary Online Education, Vidyakash-2002 (online learning), full-day tutorial, Mumbai, India.
Kumar, V.S., Yellanki L. (1998). A constraint-based online generative testing system on WWW. Technical Report. CMPT 826, Department of Computer Science, University of Saskatchewan.
Kumar, V.S. (1997). CSCL Environments for distributed peer collaboration. Doctoral Consortium. Computer-Supported Collaborative Learning, Toronto, Canada.
Kumar, V.S. (1997). Collaborative problem solving – a programming experiment and methodology, Tech Report, CMPT862, Department of Computer Science, University of Saskatchewan.
Kumar, V.S. (1996). Computer-Supported Collaborative Learning: Issues for Research. Graduate Symposium, University of Saskatchewan.
Kumar, V.S. (1995). A Model for Courseware Evaluation. Innovations in Educational Technology Conference, Minot, USA.
Kumar, V.S., Anjaneyulu K.S.R. (1995). An evaluation strategy for computer-aided language learning courseware. The second international symposium on cognition and education: A multidisciplinary perspective. Varanasi, India.
Kumar, V.S. (1992). Collaborative Intelligent Tutoring Systems: A Learning Environment. 1st African Conference on Research in Computer Science, Yaounde, Cameroon, 14-20 October.
Kumar, V.S. (1989). Learning systems for semantic interpretation in NLP – an introduction. Western Regional Conference, VV Nagar, India.
Kumar, V.S. (1989). Machine learning by analogy – an introduction. Second inter engineering college academic meet, Sibpore, India.