<![CDATA[This study aims to develop a deep learning-based teaching module for Islamic Religious Education (PAI) for fifth-grade students at SDN 1 Bagik Payung Selatan and to determine the validity, practicality, and effectiveness of the developed module. This study employed a Research and Development (R&D) method using the 4D development model, consisting of Define, Design, Develop, and Disseminate stages. The research subjects consisted of three validators, one Islamic Religious Education teacher, and 21 fifth-grade students at SDN 1 Bagik Payung Selatan. Data collection techniques included validation sheets, teacher response questionnaires, student response questionnaires, observations, and learning outcome tests (pretest and posttest). The data were analyzed using descriptive quantitative and descriptive qualitative analysis. The results showed that the deep learning-based teaching module met the criteria of validity and was feasible for use based on the validation results provided by the experts. The module was also considered practical based on the positive responses of the teacher and students during the learning process. Furthermore, the module was proven effective in improving students' learning outcomes, as indicated by an increase in the average score from 55 on the pretest to 85 on the posttest. The percentage of learning mastery reached 90.48%, with 20 out of 21 students achieving the mastery criteria. Therefore, the deep learning-based teaching module is feasible to be used as a learning resource to improve the quality of Islamic Religious Education learning in elementary schools.]]>
