Leveraging OpenAI API for Developing a Monopoly Game-Inspired Educational Tool Fostering Collaborative Learning and Self-efficacy

This research develops a game-based learning programming language framework generated using GAI. The game-based learning structure developed is analogous to the Monopoly Game, with the exception that the original game's real estate buying and selling is absent, and instead, the grids are moved in a square matrix according to the dice rolls. Additionally, the programming questions are answered in each grid, and the money obtained is replaced by the points obtained by answering questions. Participants answer the programming learning questions generated by GAI to obtain points. The students participating in the programme learn through gamification, which enables them to learn JavaScript programming in actual operations. The process also incorporates cooperative learning elements, allowing contestants in the same session to discuss with each other in order to obtain the highest total score of the contestants in that session. The results of the experimental phase indicate that the game-based learning system, which generates questions through GAI, has a significant impact on improving students’ self-efficacy in aspects such as logical thinking, control, and debugging. The impact of the cooperative learning project is less significant, while that of the algorithm project is negligible.