Norman Tiong Seng Lee

Singapore University of Technology and Design

Papers

2

Total Citations

27

H-Index

2

About

Norman Tiong Seng Lee is a researcher at the forefront of computing education, specializing in how emerging technologies can transform the teaching of introductory programming. His work critically examines the pedagogical effectiveness of different robotic platforms—physical, simulated, and augmented reality—as tools for novice learners. In his highly cited 2018 study (24 citations), Lee demonstrated that physical robots significantly enhance students' conceptual learning and engagement compared to traditional simulators, providing empirical evidence for hands-on robotics in the classroom. He further advanced this line of inquiry by investigating augmented reality robots, finding that they can match the motivational benefits of physical robots without the associated costs and logistical burdens. By systematically comparing these modalities, Lee’s research offers practical, evidence-based guidance for educators seeking to integrate technology into programming curricula. His contributions are vital for designing accessible, effective, and scalable learning environments, helping to demystify core computing concepts for a new generation of students.

Research Focus

Key Achievements

2
H-Index
2
Papers
27
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Effectiveness of Physical Robot Versus Robot Simulator in Teaching Introductory Programming
24 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Singapore University of Technology and Design

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago