Papers

2

Total Citations

130

H-Index

2

About

Chee-Kit Looi is a leading figure in the learning sciences and educational technology, whose work has profoundly shaped how artificial intelligence and computational thinking are integrated into classroom practice. His research centers on the design of innovative, technology-enhanced learning environments, with a particular focus on AI in science education and the use of educational robots to foster interdisciplinary learning. In a landmark 2023 study, Looi mapped a decade of research trends in AI for science education, a work that has garnered over 110 citations and serves as a critical roadmap for the field. He has also pioneered novel approaches to pair programming with educational robots, demonstrating how these tools can simultaneously develop students’ computational thinking and foreign-language skills—a breakthrough that bridges STEM and the humanities. Beyond these contributions, Looi is known for his work on seamless learning and mobile technologies, and his research consistently emphasizes the practical, scalable application of theory. With a career spanning decades and a citation record that underscores his influence, Looi remains a vital voice in preparing learners for a computationally rich world.

Research Focus

Key Achievements

2
H-Index
2
Papers
130
Total Citations
65
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Intelligence in Science Education (2013–2023): Research Trends in Ten Years
110 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Education University of Hong Kong, Nanyang Technological University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago