AIKII: An AI‐Enhanced Knowledge Interactive Interface for Knowledge Representation in Educational Games
ABSTRACT The use of generative AI to create responsive and adaptive game content has attracted considerable interest within the educational game design community, highlighting its potential as a tool for enhancing players' understanding of in‐game knowledge. However, designing effective player‐...
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| Published in | Computer animation and virtual worlds Vol. 36; no. 3 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Hoboken, USA
John Wiley & Sons, Inc
01.05.2025
Wiley Subscription Services, Inc |
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| Abstract | ABSTRACT
The use of generative AI to create responsive and adaptive game content has attracted considerable interest within the educational game design community, highlighting its potential as a tool for enhancing players' understanding of in‐game knowledge. However, designing effective player‐AI interaction to support knowledge representation remains unexplored. This paper presents AIKII, an AI‐enhanced Knowledge Interaction Interface designed to facilitate knowledge representation in educational games. AIKII employs various interaction channels to represent in‐game knowledge and support player engagement. To investigate its effectiveness and user learning experience, we implemented AIKII into The Journey of Poetry, an educational game centered on learning Chinese poetry, and conducted interviews with university students. The results demonstrated that our method fosters contextual and reflective connections between players and in‐game knowledge, enhancing player autonomy and immersion. |
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| AbstractList | The use of generative AI to create responsive and adaptive game content has attracted considerable interest within the educational game design community, highlighting its potential as a tool for enhancing players' understanding of in‐game knowledge. However, designing effective player‐AI interaction to support knowledge representation remains unexplored. This paper presents AIKII, an AI‐enhanced Knowledge Interaction Interface designed to facilitate knowledge representation in educational games. AIKII employs various interaction channels to represent in‐game knowledge and support player engagement. To investigate its effectiveness and user learning experience, we implemented AIKII into The Journey of Poetry, an educational game centered on learning Chinese poetry, and conducted interviews with university students. The results demonstrated that our method fosters contextual and reflective connections between players and in‐game knowledge, enhancing player autonomy and immersion. ABSTRACT The use of generative AI to create responsive and adaptive game content has attracted considerable interest within the educational game design community, highlighting its potential as a tool for enhancing players' understanding of in‐game knowledge. However, designing effective player‐AI interaction to support knowledge representation remains unexplored. This paper presents AIKII, an AI‐enhanced Knowledge Interaction Interface designed to facilitate knowledge representation in educational games. AIKII employs various interaction channels to represent in‐game knowledge and support player engagement. To investigate its effectiveness and user learning experience, we implemented AIKII into The Journey of Poetry, an educational game centered on learning Chinese poetry, and conducted interviews with university students. The results demonstrated that our method fosters contextual and reflective connections between players and in‐game knowledge, enhancing player autonomy and immersion. |
| Author | Yang, Wenwen Zhao, Huiwen Tang, Wen Liu, Dake |
| Author_xml | – sequence: 1 givenname: Dake orcidid: 0009-0009-9094-6329 surname: Liu fullname: Liu, Dake email: ldkduck@cuc.edu.cn organization: Communication University of China – sequence: 2 givenname: Huiwen surname: Zhao fullname: Zhao, Huiwen organization: Bournemouth University – sequence: 3 givenname: Wen surname: Tang fullname: Tang, Wen organization: Bournemouth University – sequence: 4 givenname: Wenwen surname: Yang fullname: Yang, Wenwen organization: Communication University of China |
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| Cites_doi | 10.1145/3640794.3665582 10.1111/j.1467-8535.2006.00531.x 10.61969/jai.1337500 10.1016/j.compedu.2011.05.022 10.3102/0013189X025004005 10.1016/j.compedu.2013.07.008 10.1016/j.chb.2013.07.025 10.1145/3555858.3555879 10.1207/S15326985EP3801_6 10.1109/MIUCC62295.2024.10783644 10.3389/fpsyg.2022.813632 10.1057/9781137005267.0009 10.1177/07356331251321719 10.1016/j.learninstruc.2004.06.006 10.1080/23735082.2023.2261131 10.1016/j.compedu.2017.05.022 10.1007/s11423-012-9246-5 10.1016/j.compedu.2011.05.007 10.1007/s10956-013-9438-8 10.1016/j.compedu.2013.08.003 10.1109/TG.2024.3515807 10.1016/j.cogr.2023.06.001 10.1609/aiide.v19i1.27504 10.1080/17439760.2016.1262613 10.1080/10494820.2012.705852 10.1016/j.compedu.2009.05.012 10.59287/icaens.1127 10.1145/3613904.3642484 10.1186/s41239-016-0003-4 10.1007/s10758-014-9214-8 10.1016/j.ijresmar.2023.03.001 |
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| Notes | Funding This work was supported by the Innovative Research on Chinese Animation Art Knowledge System in the New Era (No. 20ZD20), funded by the China National Social Science Fund 2020. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
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The use of generative AI to create responsive and adaptive game content has attracted considerable interest within the educational game design... The use of generative AI to create responsive and adaptive game content has attracted considerable interest within the educational game design community,... |
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| SubjectTerms | Colleges & universities Education educational games Effectiveness Games generative AI Generative artificial intelligence Knowledge representation Learning Players user interface |
| Title | AIKII: An AI‐Enhanced Knowledge Interactive Interface for Knowledge Representation in Educational Games |
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