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Updated: Aug 9, 2025

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
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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.

Pharmacy (Basel, Switzerland)
|February 24, 2023
PubMed
Summary

Student self-efficacy and timely submissions positively correlate with academic performance in virtual therapeutics courses. Test anxiety negatively impacts scores, highlighting the value of the Motivated Strategies for Learning Questionnaire (MSLQ) for predicting student success.

Keywords:
metacognitionself-efficacyself-regulated learningtest anxietytime-management

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Area of Science:

  • Educational Technology
  • Health Professions Education
  • Student Learning Analytics

Background:

  • Investigated student engagement with virtual therapeutics course materials.
  • Explored the influence of Motivated Strategies for Learning Questionnaire (MSLQ) sub-factors on academic outcomes.

Purpose of the Study:

  • To examine student engagement in a virtual therapeutics course.
  • To determine how MSLQ sub-factors predict academic performance.

Main Methods:

  • Weekly asynchronous, optional self-directed learning activities were provided.
  • Collected data included submissions, on-time rates, study time, and exam performance.
  • Correlational analyses assessed the predictive power of the MSLQ and its subscales.

Main Results:

  • Student self-efficacy (MSLQ subscale) and on-time case submissions showed the strongest positive correlation with exam scores.
  • Test anxiety (MSLQ subscale) exhibited the strongest negative correlation with exam scores.
  • 173 students completed the pilot study.

Conclusions:

  • The MSLQ effectively predicts students' self-regulation skills in virtual learning environments.
  • Findings can inform interventions to enhance self-regulation and improve student learning.
  • Virtual therapeutics courses can leverage MSLQ data for targeted student support.