ERIC Number: EJ1267200
Record Type: Journal
Publication Date: 2020-Oct
Pages: 14
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0266-4909
EISSN: N/A
Available Date: N/A
Computational Thinking and Assignment Resubmission Predict Persistence in a Computer Science MOOC
Chen, Chen; Sonnert, Gerhard; Sadler, Philip M.; Malan, David J.
Journal of Computer Assisted Learning, v36 n5 p581-594 Oct 2020
Massive open online course (MOOC) studies have shown that precourse skills (such as precomputational thinking) and course engagement measures (such as making multiple submission attempts with assignments when the initial submission is incorrect) predict students' grade performance, yet little is known about whether these factors predict students' course retention. In applying survival analysis to a sample of more than 20,000 participants from one popular computer science MOOC, we found that students' precomputational thinking skills and their perseverance in assignment submission strongly predict their persistence in the MOOC. Moreover, we discovered that precomputational thinking skills, programming experience, and gender, which were previously considered to be constant predictors of students' retention, have effects that attenuate over the course milestones. This finding suggests that MOOC educators should take a growth perspective towards students' persistence: As students overcome the initial hurdles, their resilience grows stronger.
Descriptors: Computation, Thinking Skills, Assignments, Predictor Variables, Academic Persistence, Computer Science Education, Online Courses, Retention (Psychology), Programming, Gender Differences, Resistance (Psychology)
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://bibliotheek.ehb.be:2191/en-us
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: 1352696
Author Affiliations: N/A