Generative AI is trained based on the Transformer architecture and is capable of producing diverse forms of content, including text and images. In educational contexts, the widespread adoption of generative AI has also introduced ethical challenges, such as issues related to content authenticity, data bias, and privacy protection. Therefore, developing an understanding of generative AI principles and enhancing AI literacy have become important educational objectives.
Board games are regarded as effective learning tools because they integrate playfulness with educational value, thereby fostering students’ interest in and comprehension of generative AI. This study proposes an educational board game centered on the principles of generative AI, developed in a Chinese-language version. The game design covers key concepts of the Transformer model, including encoding, decoding, self-attention mechanisms, and AI ethics challenges. Through scenario-based simulations grounded in natural science text inquiry, elementary school students engage in learning about how generative AI operates and explore related ethical issues.
To examine students’ learning outcomes, a three-hour instructional intervention was implemented, consisting of an introduction to the board game mechanics, gameplay activities, and guided synthesis of generative AI concepts and ethical challenges. Pre- and post-intervention assessments were conducted using a generative AI principles learning achievement test. The results indicate that the generative AI board game significantly improved students’ conceptual understanding of generative AI. Qualitative feedback further revealed that ethics-oriented gameplay enhanced students’ awareness of critically evaluating AI-generated content when using AI systems.

Authors:
Sheng-Yi Wu, National Tsing Hua University, Taiwan

About the Presenter(s)
Dr. Sheng-Yi Wu is currently a professor at the Center for Teacher Education, National Tsing Hua University. His research interests include STEM education, AI education, immersive education, and computational thinking.

See this presentation on the full schedule – Friday Schedule

Bookmark