Training Teachers to Design Game-Based Learning Activities: Evidence from a Pilot Project

Cantoia, Manuela; Clegg, Andrew; Tinterri, Andrea

doi:10.1080/07380569.2023.2271462

Computers in the Schools

2023

DOI: 10.1080/07380569.2023.2271462

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Training Teachers to Design Game-Based Learning Activities: Evidence from a Pilot Project

Manuela Cantoia,

Andrew Clegg,

Andrea Tinterri

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2024

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Automating board-game based learning. A comprehensive study to assess reliability and accuracy of AI in game evaluation

Tinterri,

Pelizzari,

di Padova

et al. 2024

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Game-Based Learning (GBL) and its subset, Board Game-Based Learning (bGBL), are dynamic pedagogical approaches leveraging the immersive power of games to enrich the learning experience. bGBL is distinguished by its tactile and social dimensions, fostering interactive exploration, collaboration, and strategic thinking; however, its adoption is limited due to lack of preparation by teachers and educators and of pedagogical and instructional frameworks in scientific literature. Artificial intelligence (AI) tools have the potential to automate or assist instructional design, but carry significant open questions, including bias, lack of context sensitivity, privacy issues, and limited evidence. This study investigates ChatGPT as a tool for selecting board games for educational purposes, testing its reliability, accuracy, and context-sensitivity through comparison with human experts evaluation. Results show high internal consistency, whereas correlation analyses reveal moderate to high agreement with expert ratings. Contextual factors are shown to influence rankings, emphasizing the need to better understand both bGBL expert decision-making processes and AI limitations. This research provides a novel approach to bGBL, provides empirical evidence of the benefits of integrating AI into instructional design, and highlights current challenges and limitations in both AI and bGBL theory, paving the way for more effective and personalized educational experiences.

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Automating board-game based learning. A comprehensive study to assess reliability and accuracy of AI in game evaluation

Tinterri,

Pelizzari,

di Padova

et al. 2024

View full text Add to dashboard Cite

show abstract

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Training Teachers to Design Game-Based Learning Activities: Evidence from a Pilot Project

Cited by 1 publication

References 45 publications

Automating board-game based learning. A comprehensive study to assess reliability and accuracy of AI in game evaluation

Automating board-game based learning. A comprehensive study to assess reliability and accuracy of AI in game evaluation

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