Dr Kenneth Lim Yang Teck publishes a book chapter and presents at two conferences with his students

Dr Lim Yang Teck Kenneth, Senior Education Research Scientist at the Centre for Research in Pedagogy and Practice (CRPP) and Professor Cheah Horn Mun of the Singapore University of Social Sciences (SUSS) have co-published a book chapter titled “Designing for Depth: Rebalancing Teaching and Learning Interactions through a Case Study from Computer Science and Coding”. Professor Cheah is the Dean, College of Interdisciplinary and Experiential Learning at the SUSS. Their chapter argues for a re-balancing of teaching and learning interactions towards a ‘deepening’ process. Traditional university teaching and learning often have a strong focus on ‘transfer’ processes that essentially involves building up a body of disciplinary knowledge. While this remains important, freeing up time to focus more on ‘deepening’ processes, particularly within interdisciplinary contexts, represents a more relevant educational preparation for students who are expected to graduate into a world where they will likely face complex challenges that require fast-pace and continual updating of skills and knowledge. Their chapter is published as part of Ye, J.-H., Xu, C., Chai, J., & Nong, W. (Eds.) “Development and Trends of Contemporary Higher Education [Working Title]”.

Students of Dr Lim shared their work themed on cybersecurity during the 2nd International Conference of Modelling, Data Analytics and AI in Engineering (MadeAI), held in Portugal from 7 to 11 July 2025. Titled “An Incremental Learning Approach for Efficient Detection of Emerging Type of SQL Injections”, the paper shared an AI model which incorporates the use of Incremental Learning, along with Large Language Model (LLMs) and previous models to sustainably manage emerging types of structure language query injection (SQLi) attack. This was motivated by the need to address the gap identified by Issakhani et al. (2023) which showed that the accuracy of supervised learning models in predicting common SQLi could decrease if unseen SQLi is input without manual re-training.

Lastly, Dr Lim and his students were afforded two opportunities to share their work at the inaugural AI4X conference, jointly organised by the Institute for Functional Intelligent Materials (I-FIM) at the National University of Singapore (NUS), and the AI Insitute, NUS, together with the Nanyang Technological University (NTU), the Ministry of Education, Singapore (MOE), the National Research Foundation of Singapore (NRF) and the DSO National Laboratories, held from 8 to the 11 July 2025 in Singapore. Alongside Ms Isabella Lim and Ms Amy Low, Dr Lim shared a poster on Machine Learning and Stock Price Prediction, as it relates to Financial Literacy. Along with Mr Wong Yue Heng, Mr Edrik Lee and Mr Duc Nam Tran, Dr Lim read a paper themed on neuroergonomics on how adolescents respond when using Generative AI as compared with when learning from more traditionally curated textual resources.