Abstract This paper develops a “Chemical Match-3 Game” related to the concepts of electrolytes in natural language, and introduces the general process of using generative artificial intelligence DeepSeek to develop simple educational games, aiming to provide a reference for chemistry teachers to develop personalized electronic educational games. The specific development process includes clarifying the development purpose, selecting the game carrier, conceiving the game rules, inputting the prompt words, testing the game effect, as well as making multiple adjustments and optimizations.
MO Zhi-Rong, LING Yi-Zhou, REN Hong-Yan. Development of Chemistry Educational Digital Games Based on Generative Artificial Intelligence DeepSeek: Chemistry Match-3 Game[J]. Chinese Journal of Chemical Education, 2025, 46(15): 80-85.
