Upy Trainer: IoT Training Tool Innovation Based on Raspberry Pi Pico W For TVET Education

Abstract

This study presents the development, implementation, and evaluation of the uPy Trainer a modular, MicroPython-based educational platform designed to enhance teaching and learning in the field of Internet of Things (IoT) and embedded systems. Developed using a systematic hardware design workflow with KiCad, the uPy Trainer integrates essential components such as Raspberry Pi Pico W (Pico W), LEDs, push buttons, variable resistors, LDR sensors, OLED displays, and buzzers to provide a comprehensive hands-on learning experience. Following fabrication, the system underwent rigorous functional testing to validate its reliability and operational performance. A usability assessment was conducted with 30 TVET Foundation students enrolled in the FB20094 course at Politeknik Tuanku Syed Sirajuddin, employing the Post-Study System Usability Questionnaire (PSSUQ). Results demonstrated high levels of user satisfaction and system acceptance across all measured dimensions. To evaluate learning effectiveness, a pre- and post-test assessment comprising 10 conceptual and 15 application-based objective questions was administered. The analysis revealed significant improvements in both conceptual understanding and practical skills, with mean scores increasing from 52.5% to 80.2% (conceptual) and from 48.0% to 78.9% (application), respectively. The findings underscore the uPy Trainer’s effectiveness as a pedagogically sound, user-friendly and reliable instructional tool, capable of supporting both foundational and advanced IoT education. The integration of physical computing and project-based learning strategies within the platform was found to be instrumental in promoting student engagement and accelerating skill acquisition. This research offers valuable insights for educators seeking to modernize their IoT and embedded systems curriculum and demonstrates the practical benefits of structured, hardware-based educational innovation in technical and vocational education settings.

Keywords: Raspberry Pi Pico, Raspberry Pi Pico W, Internet of Things, Micropython, TVET trainer