AI's impact on business postgraduate learning in UK higher education

This chapter explores the impact, applicability, and ethical implications of artificial intelligence (AI) in postgraduate business education within UK higher education institutions. Using a mixed-methods approach involving interviews (n=13) and surveys (n=47) with MBA students and academic professionals, the study investigates how AI technologies influence different learning modes—face-to-face, online, demonstration and feedback, and independent learning. Findings reveal that participants perceive AI as a largely positive force, enhancing personalisation, flexibility, feedback efficiency, and learning accessibility. Tools such as STEVE, D2L, and chatbots were found particularly effective in supporting interactive and adaptive learning environments. However, concerns persist regarding reduced human interaction, technological dependence, and ethical issues such as data privacy, bias, and transparency. While some participants acknowledged potential drawbacks—including overreliance on technology and limited emotional engagement—statistical analysis confirmed that AI’s perceived benefits outweigh its challenges. Ethical implications are recognised as significant but manageable through improved awareness, regulation, and transparency. Overall, the findings suggest that AI contributes positively to the learning experience of business postgraduate students by promoting inclusive, efficient, and data-driven educational practices, provided that ethical and technical challenges are responsibly addressed.