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ERIC Number: EJ1214499
Record Type: Journal
Publication Date: 2019-Jun
Pages: 12
Abstractor: As Provided
ISSN: ISSN-0266-4909
Students' Engagement Characteristics Predict Success and Completion of Online Courses
Soffer, Tal; Cohen, Anat
Journal of Computer Assisted Learning, v35 n3 p378-389 Jun 2019
This study examined students' engagement characteristics in online courses and their impact on academic achievements, trying to distinguish between course completers and noncompleters. Moreover, this research is intended to differentiate between those who pass the final exam and those who do not. Four online courses were examined with a similar pedagogical model (N[subscript students] = 646) using learning analytics methods. The results revealed significant differences between students who completed the courses and students who did not, in all 13 variables. Completers' learning activities were more than twice as high, except for writing in the forums. Course subject and ongoing task and assignment submissions predicted course completion, whereas, in addition to these variables, engagement with course materials and reading the forums predicted final exam success, as well. Thus, the prediction of success in final exam emphasized the significant importance of engagement in various activities in the online course.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A