Forging new pathways of research and innovation in open and distance learning

Learning Analytics in Distance Education: A Systematic Literature Review
Selcan Kilis, Yasemin Gülbahar
18. Martin, F., & Whitmer, J. C. (2016). Applying learning analytics to investigate timed
release in online learning. Technology, Knowledge and Learning, 21(1), 59-74.
19. Olmos, M., & Corrin, L. (2012). Learning analytics: A case study of the process of design
of visualizations. Journal of Asynchronous Learning Networks, 16(3), 39-49.
20. Park, Y., & Jo, I. H. (2015). Development of the learning analytics dashboard to support
students' learning performance. Journal of Universal Computer Science, 21(1), 110-133.
21. Park, Y., Yu, J. H., & Jo, I. H. (2016). Clustering blended learning courses by online
behavior data: A case study in a Korean higher education institute. The Internet and
Higher Education, 29, 1-11.
22. Prinsloo, P., Archer, E., Barnes, G., Chetty, Y., & Van Zyl, D. (2015). Big (ger) data as
better data in open distance learning. The International Review of Research in Open and
Distributed Learning, 16(1).
23. Rienties, B., Boroowa, A., Cross, S., Kubiak, C., Mayles, K., & Murphy, S. (2016).
Analytics4Action Evaluation Framework: A Review of Evidence-Based Learning Analytics
Interventions at the Open University UK. Journal of Interactive Media in Education,
2016(1), 1-11, DOI: http://dx.doi.org/10.5334/jime.394.
24. Ruipérez-Valiente, J. A., Muñoz-Merino, P. J., Leony, D., & Kloos, C. D. (2015). ALAS-
KA: A learning analytics extension for better understanding the learning process in the
Khan Academy platform. Computers in Human Behavior, 47, 139-148.
25. Smith, V. C., Lange, A., & Huston, D. R. (2012). Predictive modeling to forecast student
outcomes and drive effective interventions in online community college courses. Journal
of Asynchronous Learning Networks, 16(3), 51-61.
26. Tempelaar, D. T., Rienties, B., & Giesbers, B. (2015). In search for the most informative
data for feedback generation: Learning Analytics in a data-rich context. Computers in
Human Behavior, 47, 157-167.
27. Tobarra, L., Robles-Gómez, A., Ros, S., Hernández, R., & Caminero, A. C. (2014).
Analyzing the students’ behavior and relevant topics in virtual learning communities.
Computers in Human Behavior, 31, 659-669.
28. Van Leeuwen, A., Janssen, J., Erkens, G., & Brekelmans, M. (2015). Teacher regulation of
cognitive activities during student collaboration: Effects of learning analytics. Computers
& Education, 90, 80-94.
29. Volk, H., Kellner, K., & Wohlhart, D. (2015). Learning analytics for English language
teaching. Journal of Universal Computer Science, 21(1), 156-174.
30. Xie, K., Yu, C., & Bradshaw, A. C. (2014). Impacts of role assignment and participation in
asynchronous discussions in college-level online classes. The Internet and Higher
Education, 20, 10-19.
31. Yasmin, D. (2013). Application of the classification tree model in predicting learner
dropout behaviour in open and distance learning. Distance Education, 34(2), 218-231.
Reaching from the roots – 9 th EDEN Research Workshop Proceedings, 2016, Oldenburg 317
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