<b>Development of Active Deep Experience-based teaching materials in Collaborative Mathematics Learning</b>

Source abstract

Recent calls for mathematics instruction have emphasized the need for coherent materials that promote active engagement, deep conceptual understanding, and collaborative problem solving. However, many classroom resources still lack integration and comprehensive assessment. In response to this gap, we focused on the foundational topics of greatest common factor and least common multiple as a testbed for a more integrated design. This study aimed to develop and evaluate an Active Deep Experience (ADE) based mathematics teaching material for these topics in a collaborative setting. We used a 4D R&D model (Define, Design, Develop, Disseminate) to align tasks with higher-order thinking skills, establish roles and accountability for group work, and incorporate diagnostic, formative, and summative assessment with rubrics. To ensure content validity, we had five experts review the material using CVI, which resulted in high overall validity with targeted revisions for assessment and accessibility.we also gathered feedback from 15 learners through a 20-item Likert questionnaire, which showed practical to very practical ratings across usability, clarity, time efficiency, collaboration, feedback, and satisfaction. To test effectiveness we conducted a pretest-post test design with 29 students, which yielded a large improvement and high normalized gain. Based on these results, we conclude that the ADE material is valid, practical, and effective, and the packaged resources support classroom adoption and adaptation.