BEsMART: Board Examinations Mobile Application Reviewer for Pre-Service Science Teachers using Space Repetition and Hypercorrection

Pakistan Journal of Life and Social Sciences 23 (2025):7274-7290 (2025)
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Abstract

This study developed and validated BEsMART, a mobile review application for pre-service science teachers preparing for the Licensure Examination for Teachers (LET). Addressing challenges such as high review costs, inconsistent study habits, and concept retention difficulties, BEsMART integrates spaced repetition for memory retention and hypercorrection techniques to correct misconceptions. Other features include questionbased drills, multimedia resources, instant feedback, and progress tracking. A mixed-method research design was employed, combining ISO/IEC 25010 standards, the U.S.E. Questionnaire, and qualitative feedback from 9 experts and 48 pre-service teachers. Using the Scrum methodology, the application underwent iterative development to enhance usability. Results showed high functional suitability, usability, and reliability, with overall ratings of 4.72 (experts) and 4.75 (users). Findings confirm BEsMART’s effectiveness as a self-directed, accessible, and cost-efficient LET review tool, reinforcing mobile learning’s transformative potential in professional examination contexts and paving the way for future improvements and broader adoption.

Author's Profile

Nestor Jr Lasala
Sorsogon State University

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