기호 회귀를 활용한 수학적 모델링 기반 물리 수업이 메타 모델링 지식에 미치는 영향 탐색

This study designed and examined the effectiveness of a Symbolic Regression integrated Physics Class (SRPC) to enhance students’ comprehension of model creation, its nature, and its role. SRPC enables students to apply symbolic regression to represent real-world data as mathematical equations and interpret their significance, prioritizing conceptual understanding over computational complexity. Developed based on the ADDIE model, SRPC was implemented in a classroom, resulting in significant improvements in students’ understanding of the nature of models, the purpose of mathematical modeling, and model variability, though awareness of model multiplicity declined. Additionally, students demonstrated positive perceptions of machine learning and a heightened recognition of the importance of mathematics. While SRPC fosters a mathematical understanding of physical phenomena and underscores the educational potential of advanced technologies, further opportunities to explore diverse phenomena should be incorporated.