Combining Realistic Story Situations and GPT-Based NPC Framework for Historical Knowledge Problem-Solving Games
In recent years, the application of generative AI's (GAI) adaptive characteristics in education has rapidly emerged. However, general GAI in educational games often lacks realistic situations and operational fidelity, leading to limited authentic experiences and difficulties in learning transfer. Additionally, GAI frequently produces inaccurate or off-topic responses. To address these limitations, this study designs a
Authors
- Chengming Wei (ORCID: https://orcid.org/0009-0009-2080-6021)
- Huei‐Tse Hou (ORCID: https://orcid.org/0000-0003-1783-8830)
- Yu‐Chi Chen (ORCID: https://orcid.org/0009-0002-2154-3373)
- Chih-Chung Chien
Publication Details
- Journal
- Asian Conference on Education official conference proceedings/ACE
- Published
- 2025-03-13
- DOI
- https://doi.org/10.22492/issn.2186-5892.2025.23
- Citations
- 1
- Primary Topic
- AI-based Problem Solving and Planning
- Type
- article
- Field-Weighted Citation Impact
- 2.48