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• A Personalized Summative Model based on Learner’s Effort

  Baneres, D. (2017). A Personalized Summative Model based on Learner’s Effort. International Journal of Emerging Technologies in Learning (iJET), 12(6), 4-21. Kassel, Germany: International Journal of Emerging Technology in Learning.

• An evaluation of the accessibility of top-ranking university websites: Accessibility rates from 2005 to 2015

  Alahmadi, T. & Drew, S. (2017). An evaluation of the accessibility of top-ranking university websites: Accessibility rates from 2005 to 2015. Journal of Open, Flexible, and Distance Learning, 21(1), 7-24. Distance Education Association of New Zealand.

• Social Web Content Enhancement in a Distance Learning Environment: Intelligent Metadata Generation for Resources

  Garca-Floriano, A., Ferreira-Santiago, n., Yez-Mrquez, C., Camacho-Nieto, O., Aldape-Prez, M. & Villuendas-Rey, Y. (2017). Social Web Content Enhancement in a Distance Learning Environment: Intelligent Metadata Generation for Resources. The International Review of Research in Open and Distributed Learning, 18(1),. Athabasca University Press.

• Social Networks and the Building of Learning Communities: An Experimental Study of a Social MOOC

  de Lima, M. & Zorrilla, M. (2017). Social Networks and the Building of Learning Communities: An Experimental Study of a Social MOOC. The International Review of Research in Open and Distributed Learning, 18(1),. Athabasca University Press.

• Exploring Case Specificity in Medical Students’ Clinical Reasoning

  Doleck, T., Poitras, E. & Lajoie, S. (2017). Exploring Case Specificity in Medical Students’ Clinical Reasoning. In J. Dron & S. Mishra (Eds.), Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 572-577). Vancouver, British Columbia, Canada: Association for the Advancement of Computing in Education (AACE).

• Exploring Data Visualization as an Emerging Analytic Technique

  Liu, M., Kang, J., Zilong, P., Zou, W. & Lee, H. (2017). Exploring Data Visualization as an Emerging Analytic Technique. In J. Dron & S. Mishra (Eds.), Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1681-1690). Vancouver, British Columbia, Canada: Association for the Advancement of Computing in Education (AACE).

• An Analysis of Discussion Forum Participation and Student Learning Outcomes

  Wikle, J.S. & West, R.E. (2019). An Analysis of Discussion Forum Participation and Student Learning Outcomes. In G. Marks (Ed.), Proceedings of International Journal on E-Learning 2019 (pp. 205-228). Waynesville, NC USA: Association for the Advancement of Computing in Education (AACE).

• Social Presence in Massive Open Online Courses

  Poquet, O., Kovanović, V., de Vries, P., Hennis, T., Joksimović, S., Gašević, D. & Dawson, S. (2018). Social Presence in Massive Open Online Courses. The International Review of Research in Open and Distributed Learning, 19(3),. Athabasca University Press.

• A High Security Distance Education Platform Infrastructure Based on Private Cloud

  Ran, J., Hou, K., Li, K. & Dai, N. (2018). A High Security Distance Education Platform Infrastructure Based on Private Cloud. International Journal of Emerging Technologies in Learning (iJET), 13(10), 42-54. Kassel, Germany: International Journal of Emerging Technology in Learning.

• A Data Driven Educational Decision Support System

  Zhu, Y. (2018). A Data Driven Educational Decision Support System. International Journal of Emerging Technologies in Learning (iJET), 13(11), 4-16. Kassel, Germany: International Journal of Emerging Technology in Learning.

• Discovering the Two-Step Lag Behavioral Patterns of Learners in the College SPOC Platform

  Liu, Z., Cheng, H., Liu, S. & Sun, J. (2017). Discovering the Two-Step Lag Behavioral Patterns of Learners in the College SPOC Platform. International Journal of Information and Communication Technology Education, 13(1), 1-13. IGI Global.

• Design and Implementation of Anonymized Social Network-based Mobile Game System for Learning Mathematics

  Juric, P., Brkic Bakaric, M. & Matetic, M. (2018). Design and Implementation of Anonymized Social Network-based Mobile Game System for Learning Mathematics. International Journal of Emerging Technologies in Learning (iJET), 13(12), 83-98. Kassel, Germany: International Journal of Emerging Technology in Learning.

• A Visualization System for Predicting Learning Activities Using State Transition Graphs

  Okubo, F., Shimada, A. & Taniguchi, Y. (2017). A Visualization System for Predicting Learning Activities Using State Transition Graphs. Presented at International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in Digital Age (CELDA) 2017.

• Classification of Learning Styles in Virtual Learning Environment Using J48 Decision Tree

  Maaliw, R.R. & Ballera, M.A. (2017). Classification of Learning Styles in Virtual Learning Environment Using J48 Decision Tree. Presented at International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in Digital Age (CELDA) 2017.

• Longitudinal Effects of Teacher Use of a Computer Data System on Student Achievement

  Wayman, J.C., Shaw, S. & Cho, V. (2017). Longitudinal Effects of Teacher Use of a Computer Data System on Student Achievement. AERA Open, 3(1),.

• Big Data's Call to Philosophers of Education

  Blanken-Webb, J. (2017). Big Data's Call to Philosophers of Education. Philosophical Inquiry in Education, 24(4), 310-322.

• Architecture Design of Datacenter for Cloud English Education Platform

  Chang, M. & Zhang, M. (2019). Architecture Design of Datacenter for Cloud English Education Platform. International Journal of Emerging Technologies in Learning (iJET), 14(1), 24-33. Kassel, Germany: International Journal of Emerging Technology in Learning.

• Multidimensional Approach Based on Deep Learning to Improve the Prediction Performance of DNN Models

  El Fouki, M., Aknin, N. & El Kadiri, K. (2019). Multidimensional Approach Based on Deep Learning to Improve the Prediction Performance of DNN Models. International Journal of Emerging Technologies in Learning (iJET), 14(2), 30-41. Kassel, Germany: International Journal of Emerging Technology in Learning.

• Intensive Pre-Processing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques

  Obeidat, I., Hamadneh, N., Alkasassbeh, M., Almseidin, M. & AlZubi, M. (2019). Intensive Pre-Processing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques. International Association of Online Engineering.

• Systematic literature review on self-regulated learning in massive open online courses

  Lee, D., Watson, S. & Watson, W. (2019). Systematic literature review on self-regulated learning in massive open online courses. Australasian Journal of Educational Technology, 35(1),. Australasian Society for Computers in Learning in Tertiary Education.