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Abstract: Purpose- This
study aims to assess the role of various learning methods among optometry
students, identifying preferred methods, effectiveness, and challenges. Method-A
cross-sectional survey was administered to the optometry students to assess
their preferences for traditional lectures, online modules, and practical
workshops in clinical optometry education through self-structured
questionnaires. We enrolled 100 participants (male=40 and female=60) from
different years of optometry. Result- A
significant majority of respondents rated their academic performance
positively, with 42.5% considering themselves "Good" and 36.3% rating
"Excellent", Only a small fraction (2.5%) needed improvement. Online
resources-16%, Hands-on clinical training-21%, Traditional classroom
lectures-25%, Self-study-18%, Group discussions-12%, AI-based learning tools
(simulations, virtual tools)-8%. These findings suggest that while traditional
and practical approaches remain valuable, digital resources play an
increasingly central role in modern optometry education, 31.3% of participants
cited lack of clinical exposure as their biggest challenge, 27.5% had
difficulty understanding theoretical concepts, 25% struggled with poor time
management, 16.2% experienced limited access to digital learning tools. 67.5% of
the respondents reported utilizing mobile apps or software to study optometry,
32.5% did not use any such tools. A majority of students reported scoring in
the excellent range, suggesting effective study habits or learning methods i.e.
students scored Outstanding- 27% (Over one-fourth of students achieved top-tier
academic success), Average– 56%, A smaller but significant portion scored
within the average range-16%, Below Average– 1% (Very few students reported
poor outcomes). All
factors mentioned were found to be statistically significant (p<0.05) with
the Pearson Chi-square in SPSS version 21.0. Conclusion- Assessing the role of various learning methods among optometry students can help identify effective strategies, improve academic performance, and enhance clinical competence. By understanding student preferences and learning outcomes, educators can optimize instructional approaches and better support in student success. DOI: http://dx.doi.org/10.51505/ijmshr.2025.9503 |
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