Enhancing STEM Interest and Confidence Using AIot Visual Programming Approach for University Service-Learning Outreach

Fostering interest and confidence in STEM (Science, Technology, Engineering, and Mathematics) is essential for developing future innovators. This study investigates the impact of integrating AIoT (Artificial Intelligence of Things) visual programming using micro: bit into a university service-learning outreach program to enhance primary school students’ interest and confidence in STEM. The program provided students with hands-on experience in developing AIoT projects through visual programming, guided by university mentors. Pre- and post-event surveys were conducted to assess changes in students’ perceptions, alongside feedback from teachers and mentors. The findings indicate a significant improvement in students’ confidence and interest in STEM, with a shift from neutral or negative responses to strong agreement with STEM-related statements. Teachers reported positive learning outcomes, while mentors gained valuable teaching experience. These results highlight the effectiveness of combining AIoT, visual programming, and university service-learning in fostering interest and confidence in STEM education. The study contributes to ongoing efforts to promote STEM through interactive and experiential learning approaches.