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ERIC Number: EJ1239436
Record Type: Journal
Publication Date: 2020
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-2155-6849
EISSN: N/A
Available Date: N/A
Codebook Co-Development to Understand Fidelity and Initiate Artificial Intelligence in Serious Games
Ravyse, Werner Siegfried; Blugnaut, A. Seugnet; Botha-Ravyse, Chrisna R.
International Journal of Game-Based Learning, v10 n1 Article 3 p37-53 2020
This study aimed to identify and rank the serious game fidelity themes that should be considered for retaining both the learning potential and predicted market growth of serious games. The authors also investigated existing links between fidelity and AI. The methodology unraveled serious game fidelity through the co-development of a theory- and data-driven codebook, applying the constant comparison method for data analysis. The theory-driven codesstemmed from literature while the data-driven codes emerged from a heuristic user interface evaluation of a comic book style game, named ExMan. This article identifies five fidelity themes, with functional fidelity as most important, and postulates that functional fidelity is most suited to AI integration. This study delivers a fidelity-for-serious-games codebook and concludes that observing the suggested fidelity hierarchy could safeguard that neither digital game-based learning is watered down, nor the lustre of digital gameplay dulled. Furthermore, the authors hold that AI for serious games should be given a high design priority.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A