Amarilli, Fabrizio ORCID: 0000-0002-6307-8353 and Timakova, Oxana
ORCID: 0009-0005-8525-2817
(2024)
An Exploratory Study on the Role of Generative AI in Designing Educational Board Games. In Proceedings of the International Conference on AI Research.
In: 4th International Conference on AI Research (formally the European Conference on the Impact of Artificial Intelligence and Robotics, 5-6 December 2024, Lisbon, Portugal.
ISBN 978-1-917204-28-6
Abstract
: The educational landscape is transforming due to new skill demands, fragmented attention spans, evolving communication patterns, and increased information access. Game-based learning (GBL) has emerged
as a potential solution, fostering subject competency and broader skills. However, integrating games into education faces challenges for educators and schools. This study examines Generative AI's (GenAI) role in facilitating board game use in education, based on a case study in an Italian high school implementing a GenAIenhanced board game for foreign language teaching. Two state-of-the-art GenAI technologies assisted in the whole GBL design process. Findings indicate GenAI can streamline board game integration through flexible rule adaptation, customized artifact production, and rapid content creation, reducing educator workload, as well as extend their capabilities with novel, creative solutions. Benefits are more pronounced when GenAI use is
based on an overarching educational strategy. Study's findings have implications for educators and researchers seeking to effectively integrate GBL and GenAI in educational settings.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | No |
Uncontrolled Keywords: | Generative AI in education, Board game design, GBL, language learning, AI-assisted pedagogy. |
Subjects: | Business > Innovation Computer Science > Information technology |
DCU Faculties and Centres: | DCU Faculties and Schools > DCU Business School |
Published in: | Gonçalves, Carlos and Rouco, José Carlos Dias, (eds.) Proceedings of the International Conference on AI Research, ICAIR 2024. 4(1). ACI. ISBN 978-1-917204-28-6 |
Publisher: | ACI |
Official URL: | https://papers.academic-conferences.org/index.php/... |
ID Code: | 30915 |
Deposited On: | 15 Apr 2025 14:08 by Fabrizio Amarilli . Last Modified 15 Apr 2025 14:08 |
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