Source: http://learninganalytics.ca/research/our-publications/
Timestamp: 2019-04-23 08:20:19+00:00

Document:
This list includes journal articles, conference papers, book chapters, and book reviews published by our research team.
Boulanger, D., Seanosky, J., Guillot, R., Guillot, I., Guillot, C., Fraser, S., Kumar, V., & Kinshuk (2019, accepted). Assessing Learning Analytics Impact on Coding Competence Growth. International Conference on Advanced Learning Technologies (ICALT 2019), July 15-18, Maceió-AL, Brazil.
Boulanger, D., Clemens, C., Seanosky, J., Fraser, S., Kumar, V.S. (2018, accepted). Performance analysis of a serial NLP pipeline for scaling analytics of academic writing process. In D. Sampson, D. Ifenthaler, J.M. Spector, P. I Isaías, S. Sergis (Eds.) Learning Technologies for Transforming Teaching, Learning and Assessment at Large Scale, Springer.
Clemens, C., Kumar, V.S., Boulanger, D., Seanosky, J., Kinshuk. (2018). Learning traces, competence assessment, and causal inference for English composition. In Frontiers of Cyberlearning: Emerging technologies for teaching and learning. J.M. Spector, V.S. Kumar, A. Essa, Y-M. Huang, R. Koper, R.A.W. Tortorella, T-W. Chang, Y. Li, Z. Zhang (editors). Springer Singapore, pp. 49-68. https://doi.org/10.1007/978-981-13-0650-1.
Kumar, V., Harris, S., Burrows, J., Clemens, C., Boulanger, D., Seanosky, J., Guillot, R., & Guillot, I. (2018). Introspection and Prospects of Learning Analytics. In Educational Communications and Technology (Chinese Journal), 2018(2), pp. 10-15.
Kumar, V., 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.
Fraser, J., Fahlman, D. W., Arscott, J., & Guillot, I. (2018). Pilot Testing for Feasibility in a Study of Student Retention and Attrition in Online Undergraduate Programs. The International Review of Research in Open and Distributed Learning, 19(1).
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.
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.
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.
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.
Boulanger, D., & Kumar V. (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.
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). DOI: https://doi.org/10.1007/978-981-10-8743-1_15 Beijing, China.
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, https://journals.colostate.edu/index.php/analytics/article/view/107.
Chang, M-H., Kuo, R., Essalmi, F., Chang, M., Kumar, V., & 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.
Seanosky, J., Guillot, I., Boulanger, D., Guillot, R., Guillot, C., Kumar, V., 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.
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.
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.
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., Boulanger, D., Seanosky, J., Bell, J., Pinnell, C., & Somasundaram, T. S. (2016). Software-Defined Networking (SDN)-Based Network Services for Smart Learning Environment. In State-of-the-Art and Future Directions of Smart Learning (pp. 69-76). Springer Singapore.
Boulanger, D., Seanosky, J., Pinnell, C., Bell, J., & Kumar, V. (2016). SCALE: A Competence Analytics Framework. In State-of-the-Art and Future Directions of Smart Learning (pp. 19-30). Springer Singapore.
Bahreman, V., Chang, M., Amistad, I., & Garn, K. (2016). Design and Implementation of Self-regulated Learning Achievement: Attracting Students to Perform More Practice with Educational Mobile Apps. In State-of-the-Art and Future Directions of Smart Learning (pp. 263-267). Springer Singapore.
Guillot, C., Guillot, R., & Kumar, V. (2016). MUSIX: Learning Analytics in Music Teaching. In State-of-the-Art and Future Directions of Smart Learning (pp. 269-273). Springer Singapore.
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.
Seanosky, J., Boulanger, D., Pinnell, C., Bell, J., Forner, L., Baddeley, M., & Kumar, V. S. (2016). Measurement of Quality of a Course. In The Future of Ubiquitous Learning (pp. 199-216). Springer Berlin Heidelberg.
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.
Govindarajan, K., Kumar, V.S., Kinshuk. (2016). Dynamic Learning Path Prediction – A Learning Analytics Solution, 8th International Conference on Technology for Education T4E 2016, pp. 188-193, Bombay, India, December 2-5, 2016.
Boulanger, D., Seanosky, J., Clemens, C., Kumar, V.S., Kinshuk. (2016). A smart competence analytics solution for English writing, International Conference on Advanced Learning Technologies, pp. 468-472, Austin, TX, USA, July 25-28.
Lewkow, N., Field, 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, Educational Data Mining, pp. 109-112, Raleigh, NC, USA, June 29–July 2.
Lewkow, N., Field, 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.
Yang, J., & Huang, R. (2015). Development and validation of a scale for evaluating technology-rich classroom environment. Journal of Computers in Education, 2(2), 145-162.
Boulanger, D., Seanosky, J., Pinnell, C., Bell, J., Kumar V.S., Kinshuk (2015). SCALE: a Learning Domain-Generic Evidence-based Competence Analytics Framework, International Conference on Smart Learning Environments, Sinaia, Romania (pp. 19-30).
Ebner M., Kinshuk, Wohlhart D., Taraghi B., & Kumar V. (Special Issue Editors, 2015). Learning analytics. The Journal of Universal Computer Science, 21(1), 1-6.
Chen, G., Kumar, V., Huang, R., & Kong, S. C. (Eds.). (2015). Emerging issues in smart learning. Berlin, Germany: Springer Berlin Heidelberg.
Sodjahin, B., Reckseidler-Zenteno, S., Lewenza, S., Kumar, V., & 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.
Govindarajan, K., Kumar, V.S., Boulanger, D., Kinshuk, Learning Analytics Solution to Reduce Learners’ Course Failure Rate, International Conference on Technology for Education (T4E 2015), Warangal, India. (pp. N/A).
Guillot, C., Guillot, R., Kumar, V., & 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., & Guillot, I. (2015). Music and the Making of Modern Science. Journal of Educational Technology & Society, 18(3), 328-330.
Guillot, R., Boulanger, D., Seanosky, J., Kumar, V., & 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.
Huang, R., Yang, J., Hu, Y., & Wang, X. (2015). Development and Use of a Questionnaire for Evaluating K-12 Smart Classroom. In 8th International Conference on Hybrid Learning: Innovation in Educational Practices (pp. 218-230). Springer International Publishing.
Kumar, V., Somasundaram, T., Harris, S., Boulanger, D., Seanosky, J., Paulmani, G., & Panneerselvam, K. (2015). An Approach to Measure Coding Competency Evolution. In Smart Learning Environments (pp. 27-43). Springer Berlin Heidelberg.
Tortorella, R. A., & Graf, S. (2015). Considering learning styles and context-awareness for mobile adaptive learning. Education and Information Technologies, 1-19.
Tortorella, R. A., Hobbs, D., Kurcz, J., Bernard, J., Navarro, S.M.B., Chang, T-W., and Graf, S. (2015). Improving Learning based on the Identification of Working Memory Capacity, Adaptive Context Systems, Collaborative Learning and Learning Analytics. In M. Chang and A.-S. Farook (Eds.), Proceedings of Science and Technology Innovations, 39-45.
Sharma, A., Prajapati, U., Kumar, V., & Kinshuk (2015). Analytics Using Activity Trackers in the Field of Education. In Technology for Education (T4E), 2015 IEEE Seventh International Conference on (pp.31-34). IEEE.
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 (pp. 446-450).
Zheng, L., Yang, J., Cheng, W., & Huang, R. (2014). Emerging approaches for supporting easy, engaged and effective collaborative learning. Journal of King Saud University-Computer and Information Sciences, 26(1), 11-16.
Yang, J., Yu, H., Chen, S. J., & Huang, R. (2014). Strategies for smooth and effective cross-cultural online collaborative learning. Journal of Educational Technology & Society, 17(3), 208–221.
Somasundaram, T. S., & Govindarajan, K. (2014). CLOUDRB: A framework for scheduling and managing High-Performance Computing (HPC) applications in science cloud. Future Generation Computer Systems, 34, 47-65.
Graf, S., Kinshuk, K. B., Khan, F. A., Maguire, P., Mahmoud, A., Rambharose, T., Shtern, V., Tortorella, R., & Zhang, Q. (2012). Adaptivity and personalization in learning systems based on students’ characteristics and context. In The 1st international symposium on smart learning environment (pp. 33-36).
Tortorella, R. A., & Graf, S. (2012, July). Personalized mobile learning via an adaptive engine. In Advanced Learning Technologies (ICALT), 2012 IEEE 12th International Conference on (pp. 670-671). IEEE.
Kumar, V. (2011). Process guide for students for interdisciplinary work in computer science/informatics, 2nd edition. Journal of educational technology & society, 14(2), 287-288.
Kumar, V., 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.
Kumar, V., Chang, M., & Leacock, T. (2011). Ubiquitous writing: Writing technologies for situated mediation and proactive assessment. Ubiquitous learning: An international journal, 3, (3), 173–188.
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 10th European conference on e-learning, Brighton, UK, November 10–11 (pp. 390–398).
Clemens, C., Chang, M., Wen, D., Kumar, V., & Lin, O. (2011, July). Traces of Writing Competency-Surfing the Classroom, Social, and Virtual Worlds. In Advanced Learning Technologies (ICALT), 2011 11th IEEE International Conference on (pp. 625-626).
Kumar, V., 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).
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).
Kinshuk, Graf, S., Chang, M., Dron, J., Wen, D., Kumar, V., 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.
Winne, P.H., Nesbit, J.C., Kumar, V., 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., 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.
Greer, J., McCalla, G., Collins, J., Kumar, V., Meagher, P., & Vassileva, J. (1998). Supporting peer help and collaboration in distributed workplace environments. International journal of artificial intelligence in education, 9, 159–177.

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