Our Publications

learning with insight

This list includes journal articles, conference papers, book chapters, and book reviews published by our research team.

Guillot, I., Guillot, C., Guillot, R., Seanosky, J., Boulanger, D., Fraser, S.N., Kumar, V., & Kinshuk (2019, accepted). Challenges in recruiting and retaining participants for smart learning environment studies, International Conference on Smart Learning Environments (ICSLE 2019), March 18-20, Denton, USA.

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, https://doi.org/10.1007/978-981-13-0650-1, pp: 49-68.

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

Kumar V.S., Kinshuk, Pinnell C., Paulmani G. (2018) Analytics in Authentic Learning. In: Chang TW., Huang R., 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

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.

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

Pinnell, C., Paulmani, G., Kumar, V.S., Kinshuk. (2017). Curricular and learning analytics: a big data perspective. In B. Daniel, R. Butson (Eds.), Big Data and Learning Analytics in Higher Education, (pp. 125–145), Springer. DOI: 10.1007/978-3-319-06520-5_9

Boulanger, D., Seanosky, J., Guillot, R., & Kumar, V. S. (2017). 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. 219-223). Springer Singapore. Workshop at the 3rd International Conference on Smart Learning Environments, Tunis, Tunisia, September 28-30. doi: 10.1007/978-981-10-2419-1_30

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: 23rd 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

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. (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

Mitchnick, D., Kumar, V., Kinshuk, & Fraser, S. (2016). Using Healthcare Analytics to Determine an Effective Diagnostic Model for ADHD in Students. BHI 2016 International Conference on Biomedical and Health Informatics (pp. 211-215). Las Vegas: IEEE Journal of Biomedical and Health Informatics. http://emb.citengine.com/event/bhi-2016/paper-details?pdID=7750

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.

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. 3rd International Conference on Smart Learning Environments, pp. n/a, Tunis, Tunisia, September 28-30. doi: 10.1007/978-981-10-2419-1_9

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.

Seanosky, J., Jacques, D., Kumar, V., & 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

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.

Seanosky, J., Boulanger, D., & Kumar, V. (2015). Unfolding Learning Analytics for Big Data. In Emerging Issues in Smart Learning (pp. 377-384). Springer Berlin Heidelberg. doi: 10.1007/978-3-662-44188-6_52

Zheng, L., El-Bishouty, M. M., Pinnell, C., Bell, J., & Kumar, V. (2015). A Framework to Automatically Analyze Regulation. In Emerging Issues in Smart Learning (pp. 23-30). Springer Berlin Heidelberg. doi: 10.1007/978-3-662-44188-6_3

Boulanger, D., Seanosky, J., Kumar, V., Panneerselvam, K., & Somasundaram, T. S. (2015). Smart learning analytics. In Emerging issues in smart learning (pp. 289-296). Springer Berlin Heidelberg. doi: 10.1007/978-3-662-44188-6_39

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).

Govindarajan, K., Somasundaram, T.S., Boulanger, D., Kumar, V.S., & Kinshuk. A framework for Scheduling and Managing Big Data Applications in a Distributed Infrastructure. International Conference on Advanced Computing (ICoAC 2015), Chennai, India, (pp. 1–6). doi: 10.1109/ICoAC.2015.7562784

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.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., 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.

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., 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

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., & Kumar, V. S. (2015, October). Parallel Particle Swarm Optimization (PPSO) clustering for learning analytics. In Big Data (Big Data), 2015 IEEE International Conference on (pp. 1461-1465). doi: 10.1109/BigData.2015.7363907

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).

Kumar, V., Boulanger, D., Seanosky, J., Panneerselvam, K., & Somasundaram, T. S. (2014). Competence analytics. Journal of Computers in Education, 1(4), 251-270. doi: 10.1007/s40692-014-0018-6

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.

Yang, J. (2014). A Method for Evaluating Technology-Rich Classroom Environment. In G. Chen, V. Kumar, Kinshuk, R. Huang, & S. C. Kong (Eds.), Emerging Issues in Smart Learning SE  – 4 (pp. 31–40). Springer Berlin Heidelberg. doi:10.1007/978-3-662-44188-6_4

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.

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 (pp. 148-155). doi: 10.1109/T4E.2014.44

Harris, S. C., Zheng, L., & Kumar, V. (2014, December). Multi-dimensional Sentiment Classification in Online Learning Environment. In Technology for Education (T4E), 2014 IEEE Sixth International Conference on (pp. 172-175). doi: 10.1109/T4E.2014.50

Zheng, L., Kumar, V., & 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

Fakinlede, I., Kumar, V., 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

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

Govindarajan, K., Somasundaram, T. S., & Kumar, V. S. (2013, December). Continuous Clustering in Big Data Learning Analytics. In Technology for Education (T4E), 2013 IEEE Fifth International Conference on (pp. 61-64). doi: 10.1109/T4E.2013.23

Ridgewell, W., Kumar V., & 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

Clemens, C., Kumar, V., & Mitchnick, D. (2013, July). Writing-Based Learning Analytics for Education. In Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference on (pp. 504-505). doi: 10.1109/ICALT.2013.164

Fakinlede, I., Kumar, V., & Wen, D. (2013). Knowledge representation for context and sentiment analysis. In proceedings of the 2013 IEEE 13th International Conference on Advanced learning technologies, Beijing, China, 15–18 July (pp. 493-494). doi: 10.1109/ICALT.2013.158

Fakinlede, I., Kumar, V., Wen, D., & Graf, S. (2013). Auto generating APA persona. In proceedings of the 2013 IEEE 13th International Conference on Advanced learning technologies, Beijing, China, 15–18 July (pp.473-474). doi: 10.1109/ICALT.2013.181

Govindarajan, K., Somasundaram, T. S., & Kumar, V. S. (2013, July). Particle swarm optimization (PSO)-based clustering for improving the quality of learning using cloud computing. In Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference on (pp. 495-497). doi: 10.1109/ICALT.2013.160

Wang, M., Kumar, V., Chuang, H-H., & Spector, J.M. (2013). E-portfolios in both formal and informal learning contexts. In proceedings of the 2013 IEEE 13th International Conference on Advanced learning technologies, Beijing, China, 15–18 July (pp. 515). doi: 10.1109/ICALT.2013.171

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.

Haghighat, K., Clemens, C., Kumar V., & 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

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. (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., 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., 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

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

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).

Kinshuk, Chang, M., Dron, J., Graf, S., Kumar, V., 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

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).

Clemens, C., Chang, M., Wen, D., Kumar, V., Lin, O., & Kinshuk. (2011). Traces of writing competency – Surfing the classroom, social, and virtual worlds. In proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, Athens, Georgia, USA, 6–8 July (pp. 625–626). doi: 10.1109/ICALT.2011.193

Ridgewell, W., Kumar, V., 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

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

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.

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., 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., 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

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.

Kumar, V., 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.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.

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