LET Do IT: An Online Licensure Examination for Teachers Reviewer with Performance Analytics

Low passing rates in the Licensure Examination for Teachers (LET) continue to pose challenges for aspiring educators in the Philippines, highlighting the need for accessible, data-driven review support systems. This study presents the design, development, and evaluation of LET do IT, a web-based online LET reviewer integrated with performance analytics to support structured exam preparation and self-regulated learning. Developed using the Agile–Scrum methodology, the system incorporates a question bank, customizable mock examinations, and rule-based performance analytics that classify learner performance into interpretable categories to guide focused remediation. System evaluation involved a User Acceptance Test with 43 education students based on the Technology Acceptance Model and a software quality assessment by seven IT professionals using the ISO/IEC 25010 standard. Results indicate high user acceptance (overall mean = 4.58, Strongly Agree) and favorable software quality ratings (overall mean = 4.48, Agree), particularly in reliability, functional suitability, and compatibility. Findings suggest that integrating transparent performance analytics into online review platforms can enhance learners’ awareness of strengths and weaknesses and support exam readiness. While direct LET outcomes were not measured, the study demonstrates the system’s potential as a scalable and cost-effective digital review solution. Future research should include longitudinal studies with larger and more diverse populations to examine its impact on actual licensure examination performance.

Online Review System, Performance Analytics, Rule-Based Classification, Agile Scrum, Licensure Examination for Teachers, Learning Analytics

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