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Personalised Learning with AI Agent towards Education 4.0
Education 4.0 is a future-oriented framework that emphasises a taxonomy of learning content and experiences to enhance students' abilities and skills, attitudes, and knowledge. Within this framework, personalised learning is a key approach for improving teaching and learning outcomes. In traditional classrooms, instruction is typically delivered to groups of students using the same materials, pace, and assessments, which can limit responsiveness to individual needs. Today, AI agents enable more immersive learning platforms that support individualised distribution of learning materials, customised tests, and automated marking and feedback, making learner-specific progress tracking and learning analytics more feasible.
Beyond automation, AI agents can further strengthen personalised learning by adapting explanations, learning pathways, and support strategies to each learner, creating a more unique and responsive teaching–learning experience. This seminar reviews current work in the field and presents practical examples of how AI agents can foster personalised learning, thereby advancing the aims of Education 4.0 pedagogy.
FEATURED SPEAKER
Ir Dr Yuk Ming TANG
Senior Lecturer
Department of Industrial and Systems Engineering
The Hong Kong Polytechnic University
About the Featured Speaker [Staff Profile]
Ir Dr Yuk Ming TANG is currently a faculty member in the Department of Industrial and Systems Engineering at The Hong Kong Polytechnic University. He serves as the Lab-in-Charge of the Integrated Product Design Laboratory, the Deputy Lab-in-Charge of the Ng Tat Lun Digital Factory, and a key founding member of the Joint Research Centre for Immersive Learning and Educational Technology (CILME). He is also the Co-Principal Investigator (Co-PI) of the Non-PAIR Research Centre for Assistive Technology. Additionally, Dr TANG holds leadership roles as the President of the Institute of Industrial and Systems Engineers (IISE) - Hong Kong and as a Member of The Hong Kong Institution of Engineers (MHKIE).
To date, Dr TANG's publications have garnered over 6,000 citations. From 2023 to 2025, Stanford University recognised him as being among the top 2% of scientists globally. In 2024, he ranked among the top 50 scientists worldwide in the field of "Design Practice and Management". Furthermore, ScholarGPS has recognised him as ranking in the top 0.05% of over 30 million scholars worldwide across all fields.
CO-ORGANISERS
