Codebook Co-Development to Understand Fidelity and Initiate Artificial Intelligence in Serious Games

Author:

Ravyse Werner Siegfried1,Blignaut A. Seugnet1,Botha-Ravyse Chrisna R.1

Affiliation:

1. TELIT, North-West University, South Africa

Abstract

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 codes stemmed 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.

Publisher

IGI Global

Subject

Developmental and Educational Psychology,Education

Reference52 articles.

1. Alessi, S. M., & Trollip, S. R. (2001). Multimedia for learning: Methods and development (3rd ed.). Needham Heights, MAS: Allyn & Bacon.

2. From gaming to training: A review of studies on fidelity, immersion, presence, and buy-in and their effects on transfer in pc-based simulations and games.;A. L.Alexander;DARWARS Training Impact Group,2005

3. Investigating the impact of video games on high school students’ engagement and learning about genetics

4. Game-based curriculum and transformational play: Designing to meaningfully positioning person, content, and context

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