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Can Learner Characteristics Predict Their Behaviour on MOOCs?

Cristea, Alexandra I.; Alamri, Ahmed; Alshehri, Mohammad; Kayama, Mizue; Foss, Jonathan; Shi, Lei; Stewart, Craig D.

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Authors

Alexandra I. Cristea

Mohammad Alshehri

Mizue Kayama

Jonathan Foss

Lei Shi



Abstract

Stereotyping is the first type of adaptation in education ever proposed. However, the early systems have never dealt with the numbers of learners that current MOOCs provide. Thus, the umbrella question that this work tackles is if learner characteristics can predict their overall, but also fine-grain behaviour. Earlier results point at differences related to gender or to age. We have also looked into more details into finer-grain analyzing the weekly behavior of females and males. Here, we further expand this, by showing how, depending on the way the comments are counted, significance can be found when comparing female and male commenting behavior, at the level of the week. Moreover, the topic of the course is an important factor in this behavior. These outcomes can help in informing future runs, in terms of potential personalised feedback for teachers and students.

Citation

Cristea, A. I., Alamri, A., Alshehri, M., Kayama, M., Foss, J., Shi, L., & Stewart, C. D. (2018). Can Learner Characteristics Predict Their Behaviour on MOOCs?. In 10th International Conference on Education Technology and Computers (119-125). https://doi.org/10.1145/3290511.3290568

Conference Name 10th International Conference on Education Technology and Computers - ICETC '18
Conference Location Tokyo
Online Publication Date Nov 26, 2018
Publication Date Oct 26, 2018
Deposit Date Jul 3, 2019
Publicly Available Date Jul 4, 2019
Pages 119-125
Book Title 10th International Conference on Education Technology and Computers
DOI https://doi.org/10.1145/3290511.3290568

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Copyright Statement
© ACM 2018. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 10th International Conference on Education Technology and Computers (ICETC '18) https://doi.org/10.1145/3290511.3290568





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