Associate Dean, Research & Innovation, FST; Professor - Computing and Information Systems, FST
Contact information
Email: vivek@athabascau.ca
Phone:
Dr. Vivekanandan S. Kumar is Associate Dean, Research and Innovation, and Full Professor, Computing and Information Systems, in Faculty of Science and Technology, Athabasca University, Canada.
Imagine a world where software agents living among your computing devices teach, play, study and mentor you -- motivating your interests, challenging you on ethics, nurturing your trust, globalising your presence, and improving the way you live and learn. His research focuses on such anthropomorphic agents, which mimic and advance human-like traits to assist learners.
He earned a PhD in Computer Science from the University of Saskatchewan, Canada, as the best graduating student in 2001, a master degree in Computer Applications (first rank) and a baccalaureate degree in Physics (third rank) from India. His professional career was launched earlier in 1990 as a Scientist at the Centre for Development of Advanced Computing in Mumbai, India. During this tenure, he won a United Nations fellowship to train at the Learning Research and Development Centre, University of Pittsburgh, Pittsburgh, USA. During his first academic appointment in 2001 as Assistant Professor at Simon Fraser University, Surrey, Canada, he worked as an Educational Technologist with the Asian Development Bank to develop an online learning infrastructure and a master’s degree programme in educational technology for the Open University of Sri Lanka. He took up an academic position as Senior Lecturer with Massey University in Wellington, New Zealand in 2006. Two years later, he returned to Canada as Associate Professor at Athabasca University.
With backing from major funds from NSERC, SSHRC, and CFI, he has become an active member and contributor to the Artificial Intelligence in Education (AIED) research community. With over 160 research publications in journals, conferences, and book chapters, he strives to advance analytics-oriented, causality-infused, agile-cognification in human learning and machine learning.
He is passionate about humanity+, knowledge economy, social change through science fiction, and ICT empowered EDI.
Research interests
Learning Analytics
Artificial Intelligence in Education
Self-Regulated Learning
Educational credentials
PhD. Computer Science (Univ. of Saskatchewan, Canada)
BSc Physics (Mathematics and Chemistry minors, Bharathiar University, India)
Professional affiliations
Senior Member, IEEE;
Member, AIED;
Associate Editor, IASLE
[B1] Kumar, V., 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.
[B5] 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.
[B6] Kumar, V., & Lin F. (2013). System and technology advancements in distance learning. Hershey, PA: IGI Global. doi: 10.4018/978-1-4666-2032-2
[BC1] Boulanger D., Clemens C., Seanosky J., Fraser S., Kumar V. (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.
[J1] 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, submitted). Analyzing the reach of public health campaigns based on multidimensional aspects: the case of the syphilis epidemic in Brazil, BMC Public Health.
[J2] 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.
[J3] Kumar, V., & 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.
[J4] Kumar, V., 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.
[J10] 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
[J17] 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]