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Ella Anghel

What I wanted and what I did

Motivation and engagement in a massive open online course

Ella Anghel, Joshua Littenberg-Tobias, Matthias von Davier

Existing studies on MOOCs examine learners’ engagement processes but have not explored links between them and motivations to enroll. In our previous work, we identified three motivation groups in a MOOC for educators: intrinsic, professional, and prosocial. In the current study, we used process mining to compare the course engagement patterns of these three groups. We found that throughout the course, the intrinsic group was the most engaged, but the prosocial group became the most engaged by the end of the course. We also identified rarely visited pages and page sequences that do not follow the intended course structure. Our findings enhance existing research on motivation and engagement in MOOCs by showing how motivation relates to fine-grained engagement metrics. They suggest that MOOC developers may want to consider why some groups are less engaged and why some pages appear less engaging and change the course structure accordingly.

Publication language English
Journal Computers and Education
Volume 207
Publication status Published - 01.12.2023
Article Number 104929

Keywords

Adult learning
Applications in subject areas
Data science applications in education
Distance education and online learning
Teacher professional development

ASJC Scopus subject areas

General Computer Science
Education

Sustainable Development Goals

SDG 4 - Quality Education