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Updated: Aug 9, 2025

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
Published on: July 1, 2015
Assessing Learner Engagement and the Impact on Academic Performance within a Virtual Learning Environment
Suzanne Galal1, Deepti Vyas1, Martha Ndung'u1
1Thomas J. Long School of Pharmacy, University of the Pacific, Stockton, CA 95211, USA.
Background:
The objective of this pilot study was to examine student engagement with weekly self-paced learning materials in a virtual therapeutics course, and how sub-factors in the Motivated Strategies for Learning Questionnaire (MSLQ) may have influenced academic performance.
Methods:
Students within a diabetes module of a therapeutics course were provided with weekly asynchronous optional self-directed learning activities. Student submissions, on-time rates, self-reported weekly study time, and exam performance were collected. Students completed the MSLQ at the completion of the study. Data was evaluated using various correlation analyses to determine the predictive ability of the MSLQ and its 5 subscales.
Results:
In total, 173 students completed the study. Students' self-efficacy score on the MSLQ subscale and case submission on-time rate have the strongest positive correlation with the exam score, while the test anxiety as reported on the MSLQ test anxiety subscale had the strongest negative correlation with the exam score.
Conclusions:
Study results proved the MSLQ to be an effective predictive tool in students' self-regulation skills. Results can be used to develop intentional interventions aimed at improving self-regulation skills while providing opportunities to enhance student learning.
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