Our Publications

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.

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.

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). IEEE.

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.

Chen, G., Kumar, V., Huang, R., & Kong, S. C. (Eds.). (2015). Emerging issues in smart learning. Berlin, Germany: Springer Berlin Heidelberg.

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). IEEE.

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). IEEE.

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). IEEE.

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). 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). IEEE. 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). IEEE.

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). [IEEE]

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.

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. [IEEE]

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).

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.

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). IEEE.

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., Boulanger, D., Seanosky, J., Panneerselvam, K., & Somasundaram, T. S. (2014). Competence analytics. Journal of Computers in Education, 1(4), 251-270

Kumar, V. S., Clemens, C., & Harris, S. (2015). Causal models and big data learning analytics. In Ubiquitous Learning Environments and Technologies (pp. 31-53). Springer Berlin Heidelberg.

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., Somasundaram, T. S., Boulanger, D., Seanosky, J., & Vilela, M. F. (2015). Big data learning analytics: a new perspective. In Ubiquitous Learning Environments and Technologies (pp. 139-158). Springer Berlin Heidelberg.

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

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.

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.

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. (2014). CLOUDRB: A framework for scheduling and managing High-Performance Computing (HPC) applications in science cloud. Future Generation Computer Systems, 34, 47-65.

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.

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. (accepted). 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.

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

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.

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.

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.

 

 

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