Designing Culturally Inclusive Case Studies with Generative AI: Strategies and Considerations

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.

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Publication Details

Journal
Education Sciences
Published
2025-05-23
DOI
https://doi.org/10.3390/educsci15060645
Citations
5
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
26.71
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article

Designing Culturally Inclusive Case Studies with Generative AI: Strategies and Considerations

Karen Arm, Kelum A. A. Gamage, Shan Jayasinghe
5 citations
Education Sciences
Computational and Text Analysis Methods
26.71
article

Designing Culturally Inclusive Case Studies with Generative AI: Strategies and Considerations

Karen Arm, Kelum A. A. Gamage, Shan Jayasinghe
article en
5 citations

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.

Education SciencesVol. 15(6)
Southampton Solent University (GB), University of Glasgow (GB)
Openalex Percentile: Top 1%
Computational and Text Analysis Methods
26.71
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