The future of teaching and learning in the context of emerging artificial intelligence technologies

In the context of emerging artificial intelligence technologies (AI) such as AI-Bots (ChatGPT) and AI-Agents, it is imperative that adequate adjustment be made, and also seen to be made. However, this has to be done from an informed positions. There is no doubt that these disruptive technologies are changing the way we live, conduct our day-to-day businesses, teach, learn and conduct research. There are also emerging concerns that these dynamics may result in a paradigm shift from student-teacher relationship to student-AI-Tutor-based relationship within the academic circle. Besides, there are foreseeable dangers of compromising academic integrity through high-technology plagiarism and the potentials of students avoiding learning through AI deployment and utilisation in their academic pursuits. But something worth considering is how applying these tools in education will potentially change the entire classroom experience of students, their knowledge and skills outcomes that are relevant in this AI era. This position paper is an effort to put into context what the authors of this paper forecast as the future of teaching and learning in the context of these inevitable disruptions to education activities and its subsectors as we currently know it. The authors found it necessary to take these positions to help bring to fore some practical use cases of AI in education; recent developments and theoretical frameworks in literature, technical reports, as well as experts opinions that can help assuage stakeholder’s concerns despite some obvious existing challenges. It is our view that this paper will be found useful by educators, stakeholders and administrators in the areas of curriculum design, classroom administration and entire academic planning and reviews.