abstract
- Purpose: The purpose of this chapter is to investigate the implications of using Artificial Intelligence (AI) in higher education and how the idea can be applied to teaching and learning in this context. Design/Methodology/Approach: The study used a mixed method approach, including literature survey, interviews and cases, to explore AI integration in higher education. The objective is to provide insights and suggestions to enhance teaching, learning and administrative process through AI. Findings: AI improves adaptive learning by offering personalised experience by enhancing student engagement and performance and with due focus on people with special needs. This has empowered teachers by reduction in administrative work and providing tools for professional development. Research Limitations/Implications: Researchers and practitioners can benefit from this research's theoretical and practical insights on how to prepare learners to thrive in an environment which is shaped by AI. Practical Implications: It is imperative for an institution to continuously adapt to the changes in the technological and social landscape. Therefore, the discussion on the role of AI and its application with a focus on opportunities and potential challenges would also keep evolving with time. Social Implications: Remote students can participate in interactive classes and take advantage of adaptive learning technologies through AI-driven platforms, which may help close the educational inequality gap. Originality/Value: This study contributes towards understanding various opportunities and challenges affecting AI in higher education.