Enhancing Lecturers’ Teaching Knowledge through AI Based Teaching Tools: Evidence from Faculty of Management Studies and Commerce, University of Jaffna

Abstract

This study explores the Enhancing Lecturers’ Teaching Knowledge through AI Based Teaching Tools: Evidence from Faculty of Management studies and Commerce, University of Jaffna. The main objective is to examine how AI tools, particularly those offering Personalized Teaching Insights (PTI), Knowledge Enhancement (KEN), and Adaptive Learning (ADL), influence pedagogical development. A structured questionnaire was used to collect data from 54 lecturers, and quantitative analysis methods were applied to identify the impact of the selected variables and teaching knowledge. The findings reveal that AI tools providing personalized teaching insights and adaptive learning support significantly contribute to the improvement of teaching knowledge, while knowledge enhancement methods show a less positive or even adverse effect. This highlights the importance of integrating intelligent, adaptive technologies into academic environments to support lecturers' instructional practices. The study emphasizes the need for continuous professional development and the rethinking of knowledge acquisition strategies in the era of AI. It further recommends extending similar investigations across broader educational contexts to strengthen the evidence base for AI-driven pedagogical innovation.