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• Elaboration on Learning Management Systems to Support a Professorship's Requirements.

  Brandes, H., Hofmann, M. & Stoeckert, B. (2006). Elaboration on Learning Management Systems to Support a Professorship's Requirements. In C. Crawford, R. Carlsen, K. McFerrin, J. Price, R. Weber & D. Willis (Eds.), Proceedings of SITE 2006--Society for Information Technology & Teacher Education International Conference (pp. 1120-1125). Orlando, Florida, USA: Association for the Advancement of Computing in Education (AACE).

• Unified Next Generation Learning Platform in Support of Blended Health Learning Communities and Collaboration

  Cooke, C. & Metla, K. (2012). Unified Next Generation Learning Platform in Support of Blended Health Learning Communities and Collaboration. In T. Bastiaens & G. Marks (Eds.), Proceedings of E-Learn 2012--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 1 (pp. 83-89). Montréal, Quebec, Canada: Association for the Advancement of Computing in Education (AACE).

• Unified Next Generation Learning Platform in Support of Blended Health Learning Communities and Collaboration

  Cooke, C. & Metla, K. (2012). Unified Next Generation Learning Platform in Support of Blended Health Learning Communities and Collaboration. In T. Bastiaens & G. Marks (Eds.), Proceedings of E-Learn 2012--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 1 (pp. 90-96). Montréal, Quebec, Canada: Association for the Advancement of Computing in Education (AACE).

• Assessment of Robust Learning with Educational Data Mining

  Baker, R.S. & Corbett, A.T. (2014). Assessment of Robust Learning with Educational Data Mining. Research & Practice in Assessment, 9, 38-50.

• Assessment Intelligence in Small Group Learning

  Xing, W. & Wu, Y. (2014). Assessment Intelligence in Small Group Learning. Presented at International Conference on Cognition and Exploratory Learning in Digital Age (CELDA) 2014.

• Open Educational Partnerships and Collective Learning

  Macintyre, R. (2013). Open Educational Partnerships and Collective Learning. Journal of Interactive Media in Education, 2013(1),.

• A Comparison of Evaluation Practices Based on e-Learning and Mobile Learning Delivery Rates

  Marshall, J. (2016). A Comparison of Evaluation Practices Based on e-Learning and Mobile Learning Delivery Rates. In Proceedings of E-Learn: World Conference on E-Learning (pp. 86-99). Washington, DC, United States: Association for the Advancement of Computing in Education (AACE).

• A Comparison of Evaluation Practices Based on e-Learning and Mobile Learning Delivery Rates

  Marshall, J. (2018). A Comparison of Evaluation Practices Based on e-Learning and Mobile Learning Delivery Rates. International Journal on E-Learning, 17(1), 17-38. Waynesville, NC USA: Association for the Advancement of Computing in Education (AACE).

• Prediction of Learner’s Profile based on Learning Styles in Adaptive E-learning System

  Kolekar, S., Pai, R. & M M, M. (2017). Prediction of Learner’s Profile based on Learning Styles in Adaptive E-learning System. International Journal of Emerging Technologies in Learning (iJET), 12(6), 31-51. Kassel, Germany: International Journal of Emerging Technology in Learning.

• Open Assessment of Learning: A Meta-Synthesis

  Chiappe, A., Pinto, R. & Arias, V. (2016). Open Assessment of Learning: A Meta-Synthesis. The International Review of Research in Open and Distributed Learning, 17(6),. Athabasca University Press.

• The U-Curve of E-Learning: Course Website and Online Video Use in Blended and Distance Learning

  Geri, N., Gafni, R. & Winer, A. (2014). The U-Curve of E-Learning: Course Website and Online Video Use in Blended and Distance Learning. Interdisciplinary Journal of E-Learning and Learning Objects, 10(1), 1-16. Informing Science Institute.

• Digital resources for faculty development in e-learning: a self-paced approach for professional learning

  Ranieri, M., Raffaghelli, J. & Pezzati, F. (2018). Digital resources for faculty development in e-learning: a self-paced approach for professional learning. Italian Journal of Educational Technology, 26(1), 104-118. Ortona, Italy: Edizioni Menabò - Menabò srl.

• Exploring the factors affecting learning satisfaction in the K-MOOC learning environment

  Lim, E. & Kim, S. (2018). Exploring the factors affecting learning satisfaction in the K-MOOC learning environment. In T. Bastiaens, J. Van Braak, M. Brown, L. Cantoni, M. Castro, R. Christensen, G. Davidson-Shivers, K. DePryck, M. Ebner, M. Fominykh, C. Fulford, S. Hatzipanagos, G. Knezek, K. Kreijns, G. Marks, E. Sointu, E. Korsgaard Sorensen, J. Viteli, J. Voogt, P. Weber, E. Weippl & O. Zawacki-Richter (Eds.), Proceedings of EdMedia: World Conference on Educational Media and Technology (pp. 2100-2105). Amsterdam, Netherlands: Association for the Advancement of Computing in Education (AACE).

• 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.

• Enhancing E-Learning in Old Age

  de Palo, V., Limone, P., Monacis, L., Ceglie, F. & Sinatra, M. (2018). Enhancing E-Learning in Old Age. Australian Journal of Adult Learning, 58(1), 88-109.

• Factors Contributing to Student Retention in Online Learning and Recommended Strategies for Improvement: A Systematic Literature Review

  Muljana, P. & Luo, T. (2019). Factors Contributing to Student Retention in Online Learning and Recommended Strategies for Improvement: A Systematic Literature Review. Journal of Information Technology Education: Research, 18(1), 19-57. Informing Science Institute.

• Application of Blending Learning Based on Network Learning Space in Teaching Design of Digital Art

  Wang, J. (2019). Application of Blending Learning Based on Network Learning Space in Teaching Design of Digital Art. International Journal of Emerging Technologies in Learning (iJET), 14(3), 177-189. Kassel, Germany: International Journal of Emerging Technology in Learning.

• [Chais] A Study of Online Exams Procrastination Using Data Analytics Techniques

  Levy, Y. & Ramim, M. (2012). [Chais] A Study of Online Exams Procrastination Using Data Analytics Techniques. Interdisciplinary Journal of E-Learning and Learning Objects, 8(1), 97-113. Informing Science Institute.

• Design for Learning: Enhancing Participation in Learning through Design Thinking

  Leinonen, T., Durall, E., Kuikkaniemi, K., Mikkonen, T., Nelimarkka, M., Syvänen, A. & Toikkanen, T. (2014). Design for Learning: Enhancing Participation in Learning through Design Thinking. In J. Viteli & M. Leikomaa (Eds.), Proceedings of EdMedia 2014--World Conference on Educational Media and Technology (pp. 655-658). Tampere, Finland: Association for the Advancement of Computing in Education (AACE).

• Design for Learning: Enhancing Participation in Learning through Design Thinking

  Leinonen, T., Durall, E., Kuikkaniemi, K., Mikkonen, T., Nelimarkka, M., Syvänen, A. & Toikkanen, T. (2014). Design for Learning: Enhancing Participation in Learning through Design Thinking. In J. Viteli & M. Leikomaa (Eds.), Proceedings of EdMedia 2014--World Conference on Educational Media and Technology (pp. 659-662). Tampere, Finland: Association for the Advancement of Computing in Education (AACE).