Print Email Facebook Twitter Learning Analytics Technology to Understand Learner Behavioral Engagement in MOOCs Title Learning Analytics Technology to Understand Learner Behavioral Engagement in MOOCs Author Zhao, Y. (TU Delft Web Information Systems) Contributor Houben, G.J.P.M. (promotor) Hauff, C. (copromotor) Lofi, C. (copromotor) Degree granting institution Delft University of Technology Date 2019-04-09 Abstract As one of the most prominent examples of technology-enhanced learning, massive open online courses (MOOCs) have attracted extensive attention of learners, educators, and researchers since 2012. However, a low completion rate is a ubiquitous and severe problem in MOOCs, which means that only a small portion of learners got scores higher than or equal to the course requirements in MOOCs. Learner engagement is commonly presumed to be highly related to the completion rates of MOOCs... To reference this document use: http://resolver.tudelft.nl/uuid:2aff1a7e-45eb-4d10-9944-8e06ef12b9fa ISBN 978-94-028-1462-0 Part of collection Institutional Repository Document type doctoral thesis Rights © 2019 Y. Zhao Files PDF 530038_zhao.pdf 12.73 MB Close viewer /islandora/object/uuid:2aff1a7e-45eb-4d10-9944-8e06ef12b9fa/datastream/OBJ/view