Recent updates on my research, teaching, and related activities at NTU’s College of Computing & Data Science.
Four papers from our team — three full papers and one poster — have been accepted to the Redesigning Pedagogy International Conference (RPIC) 2026, NTU’s premier annual education conference, hosted by the National Institute of Education and Nanyang Technological University, Singapore, on 2–4 June 2026. The conference theme is “Growing Future-Ready Teachers and Learners: Collaborative Research for Educational Change.”
Together these papers cover automated classroom-observation analytics, learning-analytics-driven AI agents for self-regulated learning, generative-AI chatbots for graduate critical reasoning and writing, and AI-driven microteaching simulations — all rooted in our Learning with AI research programme.
Visit conference site →AlgoGPT — our AI tutoring platform for data structures and algorithms — has been featured by NTU’s College of Computing and Data Science as one of five pilot projects developed under the Learning with AI framework, showcasing how active learning is being put into practice across the College.
The piece highlights how CCDS projects are bridging the gap between classroom theory and the real-world contexts in which graduates will work. AlgoGPT, deployed in SC1007 Data Structures & Algorithms, illustrates how a multi-agent AI tutor can support self-regulated learning, manage cognitive load, and align assessment with reasoning — rather than rote answers.
Read full article on NTU CCDS →NTU’s College of Computing and Data Science (CCDS) is embedding artificial intelligence into the way computing is taught, practised, and assessed through its Learn with AI framework, while maintaining a strong emphasis on computational foundations, accountability, and engineering judgement.
The framework reflects rapid advances in AI — particularly large language models that can generate, explain, test, and refine code — and reshapes both curriculum and assessment so that students develop strong fundamentals while learning to operate effectively in AI-enabled development environments and alongside agentic AI systems.
Dr Newton Fernando, faculty member responsible for the Data Structures and Algorithms course, said the changes are designed to ensure students continue to develop a deep understanding of computing fundamentals even as AI tools become more widely used in practice.
Our research group’s work on AlgoGPT is part of this broader CCDS initiative to design educational technologies that strengthen, rather than substitute, learner agency.
Read full article on NTU CCDS →For more on our published work, see the Publications page; for ongoing projects and the broader research agenda, see Research; and to enquire about collaboration, PhD/Master’s positions, or remote internships, head to the Join Us page.