[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-320724-en":3,"doc-seo-320724-105":31,"detail-sidebar-cat-0-en-105":99},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30,"preview_page_count":4},320724,5909892115043,"Bulrr","https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8",8,"Research & Report","LET Do IT - An Online Licensure Examination for Teachers Reviewer with Performance Analytics","Low passing rates in the Licensure Examination for Teachers (LET) create persistent challenges for aspiring educators in the Philippines, driving demand for accessible, data-driven review support. This study designs, develops, and evaluates LET do IT, a web-based online LET reviewer integrated with performance analytics to enable structured preparation and self-regulated learning. Built with Agile–Scrum, it includes a question bank, customizable mock exams, and rule-based analytics. User testing with 43 students shows high acceptance (M=4.58) and software quality (M=4.48).","LET Do IT: An Online Licensure Examination for Teachers Reviewer with Performance Analytics  \nLady Joy P. Porras, Harold R. Lucero, Princess Ann R. Valdez, Nataniel P. Herras, Teodorico J.  \nGabucan Jr  \nSchool of Information Technology Colegio de Sta Teresa de Avila  \nDOI: [https://dx.doi.org/10.51584/IJRIAS.2026.11010040](https://dx.doi.org/10.51584/IJRIAS.2026.11010040)  \nReceived: 15 January 2026; Accepted: 20 January 2026; Published: 31 January 2026  \nABSTRACT  \nLow 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.  \nKeywords: Online Review System, Performance Analytics, Rule-Based Classification, Agile Scrum, Licensure Examination for Teachers, Learning Analytics  \nINTRODUCTION  \nPerformance analytics is the methodical assessment of student performance through data analysis tools, which can significantly impact educational outcomes, such as exam scores. [1] Institutions may employ various statistical and machine learning techniques to identify factors influencing performance and tailor interventions accordingly. It provides data that helps refine programs and guides individuals in modifying their practices, thereby improving their outcomes through targeted interventions. [2] Educational websites gradually use performance analytics to improve learning outcomes and tailor educational experiences to individual needs. By using the data these websites acquire, these platforms can offer insights into student engagement, forecast academic performance, and enable prompt interventions. [3]  \nWith the use of performance analytics in educational systems, rule-based classification serves as a transparent and interpretable approach for categorizing learner performance using predefined logical rules and threshold conditions. This method allows the systematic evaluation of examinees’ assessment results by classifying performance into meaningful levels. [4] Unlike complex predictive models, rule-based classification emphasizes clarity and comprehensibility, enabling reviewees to easily understand feedback and take appropriate corrective actions. [5]  \nThe Professional Regulation Commission (PRC) is the licensing and regulatory agency of the Philippine national government for the practice of regulated professions. It was created as a national government agency by Presidential Decree (P.D.) No. 223, dated June 22, 1973, signed by President Ferdinand E. Marcos, mandated  \nthe enforcement of the laws regulating the various profes","cbCait77f9lcZtox","https://ap.wps.com/l/cbCait77f9lcZtox","pdf",1021787,14,1,15,"English","en",105,"# Abstract\n# Introduction\n## Performance analytics in education\n## Rule-based classification for learner feedback\n## PRC and LET context\n## Need for TEI support","[{\"question\":\"What problem does LET do IT address for LET candidates?\",\"answer\":\"It targets difficulties caused by low passing rates by providing structured, data-driven review support integrated with performance analytics.\"},{\"question\":\"How does LET do IT classify learner performance?\",\"answer\":\"It uses rule-based performance analytics with predefined logical rules and threshold conditions to produce interpretable performance categories for remediation guidance.\"},{\"question\":\"How was the system evaluated in the study?\",\"answer\":\"A User Acceptance Test with 43 education students used the Technology Acceptance Model, and software quality was assessed by seven IT professionals using ISO/IEC 25010.\"}]","LET Do IT - 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