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

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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
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article

Combining Realistic Story Situations and GPT-Based NPC Framework for Historical Knowledge Problem-Solving Games

Chengming Wei, Huei‐Tse Hou, Yu‐Chi Chen, Chih-Chung Chien
1 citations
Asian Conference on Education official conference proceedings/ACE
AI-based Problem Solving and Planning
2.48
article

Combining Realistic Story Situations and GPT-Based NPC Framework for Historical Knowledge Problem-Solving Games

Chengming Wei, Huei‐Tse Hou, Yu‐Chi Chen, Chih-Chung Chien
article en
1 citations

Abstract

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

Asian Conference on Education official conference proceedings/ACE
Openalex Percentile: Top 11%
AI-based Problem Solving and Planning
2.48
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