Designing Culturally Inclusive Case Studies with Generative AI: Strategies and Considerations
Open accessAbstract
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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Effective use includes equitability and inclusivity, ensuring access to AI tools across diverse student populations and adapting use cases to specific disciplinary needs.
“It also includes equitability and inclusivity, ensuring access to AI tools across diverse student populations and adapting use cases to specific disciplinary needs (Jayasinghe et al., 2025).”
From Six Institutional Intervention Areas to Support Ethical and Effective Student Use of Generative AI in Higher Education: A Narrative Review (2026) · cites this paper as Jayasinghe et al., 2025
The Practical Implications section supports equity and inclusivity through culturally tailored, AI-generated case studies for diverse postgraduate project management students. It does not call for ensuring students across populations have access to AI tools, and its adaptation guidance concerns cultural and local contexts rather than the needs of different disciplines. (LLM, conf=0.87)
Experimental — accuracy not yet measuredFaculty-student collaboration reflects a shift towards co-constructive educational practices, where students are active participants in shaping AI integration.
“Faculty-student collaboration reflects a shift towards co-constructive educational practices, where students are not merely recipients but active participants in shaping how AI tools are integrated into their learning environments (Cacho, 2024; Gupta & Jaiswal, 2024; Jayasinghe et al., 2025; Mariyam & Karthika, 2025).”
From Six Institutional Intervention Areas to Support Ethical and Effective Student Use of Generative AI in Higher Education: A Narrative Review (2026) · cites this paper as Jayasinghe et al., 2025
Section 4.2 describes students helping select case-study topics, and the strategy table recommends using student feedback to design AI prompts. These passages support students having an active role in AI-assisted materials design, but not the broader claim that they shape how AI tools are integrated throughout their learning environments. The indexed passages provide no page numbers. (LLM, conf=0.85)
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Materials development for language learning and teaching
Tomlinson, B. (2012) · Language Teaching · doi:10.1017/s0261444811000528 · Cited by 811 · see citing works
Hadi Mogavi, R., Deng, C., Juho Kim, J., Zhou, P., D. Kwon, Y., Hosny Saleh Metwally, A., Tlili, A., Bassanelli, S., Bucchiarone, A., Gujar, S., et al. (2024) · Computers in Human Behavior: Artificial Humans · doi:10.1016/j.chbah.2023.100027 · Cited by 369 · see citing works
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100156 · Cited by 309 · see citing works
Flagged first, then by citations
Research works printed but not linked: 56
- Abacioglu, C. S., Epskamp, S., Fischer, A. H., & Volman, M. (2023). Effects of multicultural education on student engagement in low- and high-concentration classrooms: The mediating role of student relationships. Learning Environments Research, 26(3), 951-975.
- Androsov, A., & Zhang, B. (2023). Students as co-creators: Bringing culturally responsive teaching into a doctoral course for international students in China. Sage Open, 13(1), 1-16.
- CrossRef · DOI
- Aronson, B., & Laughter, J. (2016). The theory and practice of culturally relevant education: A synthesis of research across content areas. Review of Educational Research, 86(1), 163-206.
- CrossRef · DOI · Paper page
- Bouckaert, M. (2019). Current perspectives on teachers as materials developers: Why, what, and how? RELC Journal, 50(3), 439-456.
- Carabantes, L. (2024). Context matters: A sociocultural framework for materials development. ELT Journal, 1-16.
- CrossRef · DOI
- da Silva, I., Rogers, D., & Arnett, A. E. (2024). "Welcome to my backyard": An intersectional approach to inclusive teaching in the asynchronous learning environment. Distance Education, 45(3), 446-451.
- CrossRef · DOI
- Ebe, A. E. (2010). Culturally relevant texts and reading assessment for English language learners. Reading Horizons: A Journal of Literacy and Language Arts, 50(3), 193-210.
- Gay, G. (2002). Preparing for culturally responsive teaching. Journal of Teacher Education, 53(2), 106-116.
- Gay, G. (2018). Culturally responsive teaching: Theory, research, and practice. Teachers College Press.
- Hadi Mogavi, R., Deng, C., Juho Kim, J., Zhou, P., D. Kwon, Y., Hosny Saleh Metwally, A., Tlili, A., Bassanelli, S., Bucchiarone, A., Gujar, S., Nacke, L. E., & Hui, P. (2024). ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters' utilization and perceptions. Computers in Human Behavior: Artificial Humans, 2(1), 100027.
- Halliday, A. J., Kern, M. L., Garrett, D. K., & Turnbull, D. A. (2019). The student voice in well-being: A case study of participatory action research in positive education. Educational Action Research, 27(2), 173-196. [CrossRef · DOI
- Hefflin, B. R. (2002). Learning to develop culturally relevant pedagogy: A lesson about cornrowed lives. The Urban Review, 34(3), 231-250.
- CrossRef · DOI
- Herrero, E. A. (2006). Using Dominican oral literature and discourse to support literacy learning among low-achieving students from the Dominican Republic. International Journal of Bilingual Education and Bilingualism, 9(2), 219-238.
- CrossRef · DOI
- Hutchison, L., & McAlister-Shields, L. (2020). Culturally responsive teaching: Its application in higher education environments. Education Sciences, 10(5), 124.
- CrossRef · DOI
- Jiménez, R. T. (1997). The strategic reading abilities and potential of five low-literacy Latina/o readers in middle school. Reading Research Quarterly, 32(3), 224-243.
- CrossRef · DOI
- Keis, R. (2006). From principle to practice: Using children's literature to promote dialogue and facilitate the "coming to voice" in a rural Latino community. Multicultural Perspectives, 8(1), 13-19.
- CrossRef · DOI
- Kolb, D. (1984). Experiential learning: Experience as the source of learning and development. Prentice Hall Inc.
- Kondakci, Y., Bedenlier, S., & Zawacki-Richter, O. (2018). Social network analysis of international student mobility: Uncovering the rise of regional hubs. Higher Education, 75(3), 517-535.
- CrossRef · DOI
- Ladson-Billings, G. (1995). Toward a theory of culturally relevant pedagogy. American Educational Research Journal, 32(3), 465-491.
- Manikutty, S., Anuradha, N. S., & Hansen, K. (2007). Does culture influence learning styles in higher education? International Journal of Learning and Change, 2(1), 70-87.
- CrossRef · DOI
- Markey, K., Graham, M. M., Tuohy, D., McCarthy, J., O'Donnell, C., Hennessy, T., Fahy, A., & O' Brien, B. (2023). Navigating learning and teaching in expanding culturally diverse higher education settings. Higher Education Pedagogies, 8(1), 2165527.
- CrossRef · DOI
- Massar, K. (2022). Exploring the lack of training on culturally responsive teaching in higher education. Interchange, 53(3), 477-484.
- Mhlanga, D. (2023). Open AI in education, the responsible and ethical use of ChatGPT towards lifelong learning. In D. Mhlanga (Ed.), FinTech and artificial intelligence for sustainable development: The role of smart technologies in achieving development goals (pp. 387-409). Springer Nature. [CrossRef · DOI · Paper page
- Miles, A. (2014). Addressing the problem of cultural anchoring: An identity-based model of culture in action. Social Psychology Quarterly, 77(2), 210-227. [CrossRef · DOI
- National Academies of Sciences, Engineering and Medicine. (2018). How people learn II: Learners, contexts, and cultures. The National Academies Press.
- CrossRef · DOI
- Nganga, L., & Kambutu, J. (2024). Culturally responsive professional development programs for teacher educators using community- based collaborative learning: Lessons learned from a native American community. Education Sciences, 14(7), 787.
- CrossRef · DOI
- Niesche, R. (2024). Culturally responsive leadership: A case study of improving relations between Indigenous communities and schools. In Schooling for social justice, equity and inclusion: Problematizing theory, policy and practice (pp. 95-118). Emerald Publishing Limited.
- Nortvedt, G. A., Wiese, E., Brown, M., Burns, D., McNamara, G., O'Hara, J., Altrichter, H., Fellner, M., Herzog-Punzenberger, B., Nayir, F., & Taneri, P. O. (2020). Aiding culturally responsive assessment in schools in a globalising world. Educational Assessment, Evaluation and Accountability, 32(1), 5-27.
- CrossRef · DOI
- Ogodo, J. A. (2024). Culturally responsive pedagogical knowledge: An integrative teacher knowledge base for diversified STEM classrooms. Education Sciences, 14(2), 124. [CrossRef · DOI
- Schirmer, B. R., & Lockman, A. S. (2022). Culturally responsive teaching in an undergraduate online general education course. Online Learning, 26(3), 132-148.
- CrossRef · DOI
- Senyshyn, R., & Martinelli, A. (2021). Learning to support and sustain cultural (and linguistic) diversity: Perspectives of preservice teachers. Journal for Multicultural Education, 15(1), 20-37.
- CrossRef · DOI
- Silova, I., Rappleye, J., & Auld, E. (2020). Beyond the Western horizon: Rethinking education, values, and policy transfer. In G. Fan, & T. S. Popkewitz (Eds.), Handbook of education policy studies: Values, governance, globalization, and methodology (Vol. 1, pp. 3-29). Springer Nature. [CrossRef · DOI
- Valliere, J. M. (2022). Cultivating scientific literacy and a sense of place through course-based urban ecology research. Ecology and Evolution, 12(6), e8985.
- CrossRef · DOI
- CrossRef · DOI
- Weiland, T., & Williams, I. (2024). Culturally relevant data in teaching statistics and data science courses. Journal of Statistics and Data Science Education, 32(3), 256-271.
- CrossRef · DOI
- Witherspoon, D., Schotland, M., Way, N., & Hughes, D. (2009). Connecting the dots: How connectedness to multiple contexts influences the psychological and academic adjustment of urban youth. Applied Developmental Science, 13(4), 199-216.
- CrossRef · DOI
Cited by
Sorted by citations
Jayasinghe, S., Gamage, K. A. A., Yang, D., Cheng, C., Disanayake, C., & Apeji, U. D. (2026) · Education Sciences · doi:10.3390/educsci16010137 · Cited by 23 · see citing works
Self-citationLee, J. (2026) · Research Journal of Textile and Apparel · doi:10.1108/rjta-02-2025-0017 · Cited by 3 · see citing works
- Authors
- Jayasinghe, S., Arm, K., & Gamage, K. A. A.
- Affiliations
- Southampton Solent University (GB)
- University of Glasgow (GB)
- Corresponding author
- Arm, Karen
- Gamage, Kelum A. A.
- Venue
- Education Sciences
- Publisher
- MDPI AG
- Published
- 2025-05-23
- Volume
- 15
- Issue
- 6
- Pages
- 645
- ISSN
- 2227-7102 (ISSN-L)
- OpenAlex
- W4410622542
- Cited by
- 15
- References
- 3
- Citations by year
- 2026: 13 · 2025: 2
- FWCI
- 15.73
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Education Sciences (publishedVersion, cc-by)
- Solent University Research Portal (Solent University) (publishedVersion, cc-by)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Management and Marketing Education
- Keywords
- generative AI, culturally responsive teaching, project management education, international students, AI-generated learning materials, ethical use of AI, teacher professional development, multicultural classrooms, educational equity
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