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This study explores the integration of Artificial Intelligence (AI) in higher education, focusing on its implications for teaching and learning. With AI tools rapidly gaining traction, the research emphasises the necessity of developing proficient AI literacy skills among faculty and students. Employing focus groups and thematic network analysis, the study uncovers faculty and student perspectives on AI’s role in education, with both groups recognising its potential to positively impact all aspects of higher education, while also emphasising concerns about credibility and reliability of AI tool outputs, potential for bias, impact on academic integrity and assessment, as well as concerns about inclusivity. A significant outcome is the development of an AI capabilities matrix, tailored to align with the DigComp 2.2: The Digital Competence Framework for Citizens. Overall, it contributes to the discourse on AI's integration in higher education, setting a foundation for integration and further research on this topic.
Daly et al. (Tue,) studied this question.
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