The future of generative AI chatbots in higher education

Abstract

The integration of generative Artificial Intelligence (AI) chatbots like ChatGPT, Copilot (Microsoft Copilot), and others in higher education  institutions (HEIs) is reshaping the educational landscape, offering opportunities for enhanced student support, and administrative and  research efficiency. This study explores the future implications of generative AI chatbots in HEIs, aiming to understand their potential  impact on teaching and learning, and research processes. Utilizing a narrative literature review (NLR) methodology, this study  synthesizes existing research on generative AI chatbots in higher education from diverse sources, including academic databases and  scholarly publications. The findings highlight the transformative potential of generative AI chatbots in streamlining administrative tasks,  enhancing student learning experiences, and supporting research activities. However, challenges such as academic integrity concerns,  user input understanding, and resource allocation pose significant obstacles to the effective integration of generative AI chatbots in HEIs.  This study underscores the importance of proactive measures to address ethical considerations, provide comprehensive training  for stakeholders, and establish clear guidelines for the responsible use of generative AI chatbots in higher education. By navigating these challenges, and leveraging the benefits of generative AI technologies, HEIs can harness the full potential of generative AI chatbots to  create a more efficient, effective, inclusive, and innovative educational environment.