- Jun 17, 2026
- Posted by:
- Category: Abstract of 11th-rteconf
Abstract Book of the 11th International Conference on Research in Teaching and Education
Year: 2026
[PDF]
Self-Directed Learning Patterns and Their Impact in Cookbook-Style Physics Experiments
Prof. Chin-Chung Yu, Hsin-Yi Chiu, Yu-Hsun Tsai, Tsu-Chiang Yen, Ming-Huey Huang
ABSTRACT:
The “Hands-on High School Physics” program is an 18-week online self-directed learning course for high school students. The program includes ten physics experiment topics, from which student groups select one topic to investigate. Although cookbook-style laboratory manuals are provided to guide students through experimental procedures, students use simple materials and digital tools, such as the Phyphox app, to collect data, verify physics concepts, and produce experimental videos. This study explores patterns of students’ self-directed learning within cookbook-style physics experiments and their impact on the experimental process. Based on experimental videos and 20 post-course feedback questionnaires from National Nanke International Experimental High School in Taiwan, Hazari’s framework was applied to analyze students’ learning behaviors and problem-solving strategies. The results show that 85% of students independently conducted error correction and scientific modeling, including calculating the moment of inertia of the human body and the wave speed of a string. Some students went beyond the prescribed procedures by using AI tools, Python programming, online resources, and video-editing techniques to support data analysis, model construction, and presentation. When facing difficulties, students mainly modified experimental procedures, consulted online resources, used AI tools, and sought teacher support. These findings suggest that cookbook-style experiments can provide a structured foundation for diverse self-directed learning behaviors, supporting experimental refinement, scientific modeling, and learning outcomes.
Keywords: Cookbook-Style Experiments, High School Students, Physics Education, Self-Directed Learning, Scientific Modeling