This study aimed to develop and evaluate a Multi-Sensor and Internet of Things (IoT)-Based Base quantities Practicum Module for Physics Education Students. The study employed a Research and Development method using the ADDIE model. The module integrates multiple sensors with an ESP32 to support real-time data acquisition and visualization. The participants included two subject-matter experts, two media experts, two practitioners, and seven Physics Education students at STKIP Tanjungpura. Data were collected using validation sheets, questionnaires, pre-tests, and post-tests. The results showed that the material and media validity scores reached 91.25% and 90.63%, respectively, both categorized as highly valid. The module obtained a practicality score of 91.25%, while student responses reached 90.53%. The students’ mean score increased from 43.71 to 84.00, with an N-Gain score of 0.717 in the high category. The module was rated highly valid and practical. In a limited trial involving seven students, pre-test and post-test scores showed improved conceptual learning outcomes; further testing is needed to establish its effectiveness across broader settings.
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