Traditional 2D block diagrams lack sufficient 3D rotational perspectives, making it difficult to fully display the back of the block assembly and complex structures, limiting students' spatial understanding and operational accuracy. AI-generated 3D dynamic image systems, such as Tripo AI, can instantly generate 3D rotating models, providing multi-angle viewing and detailed supplementation. This helps reduce the cognitive load caused by limited viewing angles while encouraging creative thinking. Therefore, an empirical study will investigate the practical teaching effectiveness of AI-generated 3D dynamic imagery, hoping to significantly impact junior high school engineering education. This study focuses on how the Tripo AI-generated 3D block dynamic imagery system impacts junior high school students' learning outcomes, cognitive load, and creative design abilities in engineering block learning. The system complements the perspective limitations of traditional 2D paper diagrams by generating rotating, surround-view 3D block models and displaying the back of components. A quasi-experimental design was adopted in this study. Intact classes of junior high school students were assigned as the experimental group (assisted by AI 3D dynamic imagery) with the control group (using only 2D paper diagrams) on a learning task. We hope to discover that AI dynamic images can improve spatial understanding and operational accuracy, effectively reduce cognitive load, and promote the diversified development of creative thinking.

Authors:
Ming Chun Wu, National University of Tainan, Taiwan
Hao Chiang Koong Lin, National University of Tainan, Taiwan

About the Presenter(s)
Mr. Ming Chun WU is currently an adjunct university lecturer and also teaches at high schools, elementary schools, and middle schools. In terms of teaching experience, I have developed an integrated thematic curriculum through "STAEM"

See this presentation on the full schedule – Wednesday Schedule

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