Self-Paced Learning Material Assessment Tool with Text Mining: A Framework Development

Abstract

Faculty members encountered a significant challenge when submitting Self-Paced Learning Materials (SLM) due to their demanding schedules. They had responsibilities such as teaching, conducting research, and handling administrative tasks, which left them with insufficient time to develop, revise, and deliver educational content. Consequently, this time crunch resulted in difficulties and delays in offering students well-crafted learning materials. The researchers gathered reviews and studies on developing a system to help the Curriculum and Instruction Development (CID) office address the current problem for passing and evaluating SLM, Course Guide, and Syllabus. The researcher applied a descriptive and development design to the study. A descriptive research design was used to collect data, while a developmental research design was applied to develop outcomes-based instructional materials. This study employed the Agile method for software development, and it explained how these steps helped the researchers develop the study. Therefore, universities developed and used a web-based system. The study's main goal was to help the faculty in disseminating instructional materials and the CID office in monitoring, evaluating, tracking, managing, and archiving documents and the students' evaluations of the faculty members' IMs that evaluators had approved.