Exploring the Role of Generative AI in Creating an Inclusive Business Curriculum through Staff Development and Collaboration
DOI:
https://doi.org/10.7190/jostle.v1i1.608Keywords:
artificial intelligence, inclusive business curriculum, staff developmentAbstract
The concept of inclusivity in higher education has evolved in response to widening participation agendas and the need to address persistent attainment gaps among ethnic-minoritised and other disadvantaged student groups (May & Bridger, 2010; Berger & Wild, 2017). The rapid emergence of Generative Artificial Intelligence (GenAI) tools, such as ChatGPT, is challenging traditional assessment practices (Moqbel & Al-Kadi, 2023), while offering new opportunities for inclusive curriculum design and delivery (Nilson et al., 2024).
This project investigates how GenAI might be harnessed to support inclusive curriculum and assessment practices within a large UK Business School, through staff development and cross-disciplinary collaboration. It explores four key questions:
- What are the critical considerations for integrating GenAI into curriculum and assessment?
- How is GenAI currently used across Business School disciplines, and what benefits have emerged?
- What are the perceived staff development needs?
- What are the implications for designing a CPD programme to support GenAI integration across the Business School and beyond?
Using a mixed-methods, pragmatic approach, the study combines a narrative literature review with internal and external case studies. This paper presents initial findings from the literature review and preliminary insights from a staff survey currently underway across the Business School. These early findings will inform the development of a staff development framework aimed at supporting ethical, inclusive, and pedagogically sound integration of GenAI into curriculum and assessment design.
References
Berger, D., & Wild, C. (2017). ‘Forgotten lore’: Can the Socratic method of teaching be used to reduce the attainment gap of black, Asian and minority ethnic students? Higher Education Review, 49(2), 29–55.
May, H., & Bridger, K. (2010). Developing and embedding inclusive policy and practice in higher education. Higher Education Academy. https://www.aau.org/wp-content/uploads/sites/9/2018/04/Developing-Embedding-Inclusive-Policy-Practice-Report-final.pdf
Moqbel, M., & Al-Kadi, A. (2023). A framework for generative AI-driven assessment in higher education. Information, 14(6), 472. https://doi.org/10.3390/info14060472
Nilson, L. B., Stefaniak, J. E., & Moore, S. L. (2024). The use of generative AI to support inclusivity and design deliberation for online instruction. Online Learning, 28(3), 181–206.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Christine O'Leary, Georgina Murray, Zoe Newsham, Jayne Revill

This work is licensed under a Creative Commons Attribution 4.0 International License.
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under the Creative Commons-Attribution (CC-BY) licence.This licence allows people to ‘copy and redistribute the material in any medium or format' and 'remix, transform, and build upon the materiafor any purpose, even commercially.'
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.