Designing culturally inclusive case studies with generative AI: strategies and considerations

Shan Jayasinghe, Karen Arm, Kelum A. A. Gamage

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Abstract

This study investigates the use of generative AI tools to create culturally inclusive case studies in postgraduate project management education, addressing a critical gap in existing research. While prior literature highlights the benefits of culturally responsive teaching (CRT) practices, there is notable lack of exploration into how generative AI can be leveraged to develop culturally relevant learning materials. Using an interpretivist philosophy and action research methodology, the study engaged eight international students to evaluate the effectiveness of AI-generated case studies tailored to diverse cultural contexts. The major contribution of this study is the development of a structured framework of strategies and considerations that guides educators in designing culturally inclusive materials using generative AI tools. The inclusion of clearly defined strategies provides educators with practical guidance, while the accompanying considerations act as essential safeguards, encouraging critical reflection on potential risks such as bias, stereotyping, and ethical misuse. The findings hold significant implications for educational practice, emphasising the ethical use of AI, targeted professional development for educators, and the potential for scalable, inclusive teaching strategies that enhance student engagement, equity, and learning outcomes in multicultural classrooms.
Original languageEnglish
Pages (from-to)645
JournalEducation Sciences
Volume15
Issue number6
Early online date23 May 2025
DOIs
Publication statusPublished - 23 May 2025

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