Dr Kenneth Lim Yang Teck and his students speak at four events, hosts a visiting delegation from Indonesia and co-published a book chapter

From 2 - 3 May 2025, Dr Lim Yang Teck Kenneth, Senior Education Research Scientist at the Centre for Research in Pedagogy and Practice (CRPP), was invited to share his students' work on 'Translating dialects with Natural Language Processing: a case study of Hokkien' at the Research Symposium of the Centre for IT in Education of the University of Hong Kong. The work is novel because it represents the use of Machine Learning to the translation of low-resourced languages - in this case, the Hokkien dialect. Hokkien’s rich tonal system, phonetic diversity, and lack of standardised linguistic resources present significant challenges for its integration into modern language technologies. The study suggests applications of AI within the Digital Humanities, such as in documenting oral histories.

On 6 May 2025, he also played host to a visiting delegation from Indonesia, representing the Muhammadiyah Group of schools. The group is currently the second largest Islamic organisation in Indonesia, with members estimated to be around 60 million. The group operates more than three thousand schools and more than 170 institutes of higher learning across the Indonesian archipelago. The current Minister of Primary and Secondary Education in Indonesia - Prof. Abdul Mu'ti - is also the Secretary-General of the Muhammadiyah Group for the 2015-2027 term. Among members of the visiting delegation were the Head of Education for the group in East Java province and Yogyakarta Special Region, which are both amongst the regions running the largest number of schools. Dr Lim and his students engaged the delegation in an extended discussion on foundational pedagogies and solutions and issues around the intersection of Artificial Intelligence (AI), Data Science and learning.

On 19 May 2025, Dr Lim shared his team's work on Generative AI, computer vision and mathematics education at the 2nd International Conference on Intelligent Technology for Educational Applications, which was held in Bangkok. The paper Dr Lim shared was titled 'Exploring the Potential of GPT-4o’s Vision in Vector Visualisation for Pre-Tertiary Mathematics' and was co-authored by his students Thanh Minh Le Nguyen and Chanoudam Sopheap. In it, Dr Lim's team examine the potential of Machine Learning and computer vision to assist Junior College students in visualising complex mathematical concepts, with a specific focus (in this iteration of the work) on vectors.

From 19 to 23 May 2025, Dr Lim’s students shared their work on AI in STEM education at the EdMedia conference in Barcelona, Spain. The paper that was presented by Dr Lim's students Shao Yang Chai and Harold Chang was titled 'Designing an Artificial Intelligence and Automated System for Analysing Plant Growth to Predict and Speed-up Harvest'. Early in his career, Dr Lim was a Geography educator and therefore encouraged his students to pursue their interest at the intersection of AI, STEM and Geography. Their project investigated the integration of AI and the Internet of Things (IoT) technologies to enhance spinach growth in urban farming contexts. This area of study is especially relevant given that food security remains a pressing challenge for land-scarce Singapore, with local vegetable production meeting only 3.2% of consumption as of 2023.

On 27 May 2025, he presented the work of his student - Merrill Yen, from the School of Physical and Mathematical Sciences - on using game-based learning to teach graph theory, at the annual NTU Learning and Teaching Conference. Dr Lim's student - Merrill - plans to study mathematics education under the auspices of the postgraduate Diploma-in-Education programme offered by the NIE. As part of his study, Merrill conceptualised, designed and enacted a game - 'Code Breaker' - to help students learn the concept of graph isomorphism.

Last but not least, Dr Lim also co-published a book chapter titled “Learning Mathematics through Graph Theory Games” in the book Mathematics - Teaching and Learning.  Graph theory is the study of graphs which is a mathematical structure that helps to model relationships between objects. Graph theory has applications in diverse fields such as computer science, biology, sociology and transportation. Thus, graph theory allows us to understand relationships across different fields. This makes it imperative to call for educational materials to engage students to learn graph theory. Since graph theory is highly visual and has low barriers to entry making it a good field to explore game based learning, we aim to explore the design and development of games to help to keep students engaged and interested with graph theory concepts. Participants will engage in a series of games with underlying graph theory concepts infused in it. An interview to examine the effects of how the games has brought about understanding in the graph theory concepts will be given after the workshop. The games are expected to increase the participants’ engagement with graph theory by making the learning process more interactive and enjoyable, improving their understanding of the concepts introduced and the real world applications of graph theory. The intended impact of this project is that students come out with a comprehensive knowledge of graph theory and an understanding of how we can apply games to teach mathematics.