Optimising Human-Machine Collaboration
Advancing the Science and Practice of Adult Learning and Work with Intelligent Technologies
This initiative focuses on enhancing individual productivity by integrating AI, robotics, and immersive technologies (AR/VR) into adult learning and workplace environments. Research areas include:
- AI-powered personalized tutoring
- Service robots with contextual reasoning
- Immersive human–digital interactions
- Behavioral AI agents to support better decision-making
The collaboration brings together SCIS faculty for technology development, alongside SOSS and CIS for behavioral and learning theories, creating an interdisciplinary approach to reimagining how adults learn and work with intelligent machines.
Latest Projects
Investigating the Role of Online Career Tools in Shaping Career Development and Workforce Outcomes
Analyzing and improving online career guidance tools to better utilise individual personality/psychometric traits.
AI-Enhanced Course Design: Optimizing Cognitive Load, Personalization, and Engagement for Deeper Learning
Using AI to assess teaching content and recommend curricular enhancements to instructors.
Artificial Intelligence in Higher Education: Evaluating AI Outputs and Metacognition of Law Students
This study explores how law students in Singapore evaluate AI-generated outputs on tort law, focusing on metacognitive awareness and reflective judgment to strengthen legal reasoning and lifelong l