TY - UNPB
T1 - The Future of Teaching and Learning In The Context Of Emerging Artificial Intelligence Technologies
AU - Ukwandu, Elochukwu
AU - Omisade, Omobola
AU - Jones, Karl
AU - Thorne, Simon
AU - Castle, Michael
PY - 2024/6/5
Y1 - 2024/6/5
N2 - 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 emerging concerns that these dynamics may result in a paradigm shift from student-teacher relationship to student-AI-Tutor-based relationship. 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. Another consideration is how this technology has the potential of changing the entire classroom experience of students, their knowledge and skills outcomes. 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. The authors found it necessary to take these positions in dispelling or affirming them by analysing existing literature that focused on related theories, precedence and evidence. 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.
AB - 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 emerging concerns that these dynamics may result in a paradigm shift from student-teacher relationship to student-AI-Tutor-based relationship. 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. Another consideration is how this technology has the potential of changing the entire classroom experience of students, their knowledge and skills outcomes. 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. The authors found it necessary to take these positions in dispelling or affirming them by analysing existing literature that focused on related theories, precedence and evidence. 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.
U2 - 10.2139/ssrn.4852030
DO - 10.2139/ssrn.4852030
M3 - Preprint
BT - The Future of Teaching and Learning In The Context Of Emerging Artificial Intelligence Technologies
ER -