Liu, D., Zhao, H., Tang, W. and Yang, W., 2025. AIKII: An AI-Enhanced Knowledge Interactive Interface for Knowledge Representation in Educational Games. Computer Animation and Virtual Worlds, 36 (3), e70052.
Full text available as:
![]() |
PDF
AIKII_Manuscript_PDF.pdf - Accepted Version Restricted to Repository staff only until 2 June 2026. Available under License Creative Commons Attribution Non-commercial. 5MB |
Copyright to original material in this document is with the original owner(s). Access to this content through BURO is granted on condition that you use it only for research, scholarly or other non-commercial purposes. If you wish to use it for any other purposes, you must contact BU via BURO@bournemouth.ac.uk. Any third party copyright material in this document remains the property of its respective owner(s). BU grants no licence for further use of that third party material. |
DOI: 10.1002/cav.70052
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.
Item Type: | Article |
---|---|
ISSN: | 1546-4261 |
Group: | Faculty of Science & Technology |
ID Code: | 41100 |
Deposited By: | Symplectic RT2 |
Deposited On: | 30 Jun 2025 12:49 |
Last Modified: | 30 Jun 2025 12:49 |
Downloads
Downloads per month over past year
Repository Staff Only - |