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This portfolio of research examines the implications of artificial intelligence for higher education across three interconnected areas: student learning and AI literacy, teaching and curriculum design, and the broader societal and workplace impacts of AI.
Several projects focus on the risks and opportunities posed by generative AI for student learning. Experimental research on AI hallucinations and misinformation investigates students’ ability to critically evaluate AI-generated outputs and shows that exposure to incorrect AI-generated information can influence both beliefs and confidence levels. This work highlights the importance of developing critical AI literacy, including the ability to verify sources, recognise hallucinations, and understand the limitations of generative AI systems.
Complementing this work, a pedagogical innovation project explores how AI-assisted knowledge tools can support educators in developing AI-enhanced teaching materials grounded in verified academic sources. Early evidence suggests that such tools can improve student trust and engagement while reducing risks associated with hallucinated content.
Other projects examine how AI is reshaping curriculum design and assessment practices. The development of an AI Vulnerability Index assesses how susceptible university assessments are to generative AI assistance, highlighting the need for assessment designs that emphasise interpretation, judgement, and applied reasoning. A related international study analyses how economics and business curricula are evolving in response to the rise of machine learning and data analytics, finding that while AI-related content is gradually being incorporated, many programmes remain at an early stage of adaptation.
Finally, a textbook chapter on artificial intelligence in global human resource management examines how AI technologies are transforming workplace practices such as recruitment, talent management, and employee development. This work highlights the importance of equipping students with both technical understanding and ethical awareness as AI becomes embedded in organisational decision-making.
Taken together, these projects highlight the need for coordinated efforts across educators, institutions, and policymakers to support AI literacy, curriculum innovation, and responsible AI governance in education.
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