Learning Analytics Technology to Understand Learner Behavioral Engagement in MOOCs

Doctoral thesis (2019)

Authors

Y. Zhao Web Information Systems - EEMCS
Research Group
Web Information Systems (EEMCS) (TU Delft)
Copyright: © 2019 Y. Zhao
DOI
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https://doi.org/10.4233/uuid:2aff1a7e-45eb-4d10-9944-8e06ef12b9fa
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Published Date

2019

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Web Information Systems

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...

Files

530038_zhao.pdf
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