Author Information
Hung-Yu Chan, National Taiwan University of Science and Technology, TaiwanYu-Chi Chen, National Taiwan University of Science and Technology, Taiwan
Chih-Chung Chien, National Taiwan University of Science and Technology, Taiwan
Huei-Tse Hou, National Taiwan University of Science and Technology, Taiwan
Abstract
Decision making is an increasingly valued skill in both schools and workplace. Lectures and case analysis remain limited in fostering decision-making skills due to a lack of contextual simulation, insufficient interactivity, and low learning motivation. Utilizing game-based learning to develop decision-making skills may help overcome these limitations. Therefore, in this study, we designed a decision-making game with a story plot, generative AI (GAI) simulation character interaction, and a clue inference mechanism to solve the limitations. This study designed a Non-Player Character (NPC) in a simulated dialog style through GAI. Learners played the role of a police detective in the game and they could talk to the victim which played by a GAI NPC, which was scripted by our research team. They have to explore, collect, and analyze clues, and make decisions about the location of the robbers' hideout within a limited period of time. A total of 15 participants engaged in the empirical evaluation of this study. It was found that the learners had a high level of flow, and moderate anxiety, and a high level of acceptance of the game, and that they believed that the game could help them to develop their ability. In addition, 80% of these learners felt that the game experience was more anthropomorphic than common GPTs, and the dialogues were more like real-life interactions. Learners also mentioned that the clues provided by the NPC were helpful, including location characteristics, and experiences of the incident, which could help them reason during decision-making.
Paper Information
Conference: ACE2024Stream: Design
This paper is part of the ACE2024 Conference Proceedings (View)
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To cite this article:
Chan H., Chen Y., Chien C., & Hou H. (2025) A Generative AI Puzzle Educational Game for Decision Making Skill Training With a Clue Exploration Mechanism ISSN: 2186-5892 – The Asian Conference on Education 2024: Official Conference Proceedings (pp. 233-239) https://doi.org/10.22492/issn.2186-5892.2025.20
To link to this article: https://doi.org/10.22492/issn.2186-5892.2025.20
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