Practice and Repetition during Exam Preparation in Blended Learning Courses: Correlations with Learning Results
Keywords:Learning analytics, web usage mining, learning management system, blended learning courses, practice, repetition, correlation analysis, regression analysis
Learner-centric research on factors influencing learning results has focused, among other things, on student characteristics, demographic data, and usage patterns in learning management systems (LMSs). This paper complements the existing research by investigating potential correlations between learning results and LMS usage during exam preparation, focusing on practice and repetition. Based on 250 million log-file entries used to analyze student interactions within specific courses and overall in the LMS, results show positive, albeit modest, correlations between usage variables and final exam grades. Regarding practice, the number of learning days and the number of days between the first and the last learning sessions correlate better than the coverage of different learning materials. The findings for repetition indicate that it is more beneficial to transfer learning to new tasks than to repeat the same items many times. The study not only looks at single usage variables but also examines the distribution of the descriptive and dependent variables and uses visualization techniques and quantiles to deal with outliers. This paper describes the largest empirical study of learner interactions in blended learning courses conducted so far (at least according to the authors’ knowledge) and including techniques for processing and analyzing large datasets about LMS usage.
How to Cite
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons License, Attribution - NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) license that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).