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.
