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Assessing student academic time use: assumptions, predictions and realities
Jacqueline M Zeeman1, Isabell Kang2, Thomas A Angelo3
1Office of Strategic Planning and Assessment, Division of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Students accurately predict their academic time use, but actual time spent remains consistent, suggesting inelasticity. Time logging offers valuable data for curriculum improvement in higher education.
Area of Science:
- Medical Education
- Higher Education Research
- Curriculum Design
Background:
- Medical education reform necessitates understanding student academic time allocation for evidence-based curriculum improvement.
- Time logging offers a quantitative method to analyze student academic time use, informing curriculum design decisions.
Purpose of the Study:
- To evaluate faculty and student predictions of student academic time use.
- To assess students' reported academic time use within a redesigned curriculum.
Main Methods:
- Graduate students participated in a time use exercise including prediction, logging, and reflection over two semesters.
- Faculty members also predicted students' weekday academic time use.
Main Results:
- Student time use predictions strongly correlated with reported use (r=0.55-0.53).
- Faculty predictions did not correlate with student reported time use.
- Despite motivation to change, students' reported academic time use remained consistent (approx. 7.8-7.9 hours/weekday).
Conclusions:
- Time logging quantifies student academic time use, aiding curriculum reform.
- Student time use appears inelastic, with minimal changes despite expressed desires.
- Educators should consider these findings when designing curricula and setting academic expectations.
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