Samuel Kai Wah Chu
Papers
3
Total Citations
362
H-Index
3
About
Dr. Samuel Kai Wah Chu is a leading scholar at the intersection of artificial intelligence and education, with a particular focus on AI literacy and its integration into K-12 learning environments. His groundbreaking work has helped define how AI should be taught and understood, especially for young learners. His most influential paper, "A review of AI teaching and learning from 2000 to 2020" (2022), has garnered 342 citations, providing a comprehensive roadmap of two decades of AI education research. Dr. Chu has also been instrumental in shaping the emerging field of AI literacy, as evidenced by his work "AI Education and AI Literacy" (14 citations) and his pioneering study on "AI Literacy Education in Primary Schools" (6 citations), which demonstrates his commitment to making AI accessible to even the youngest students. Through these contributions, Dr. Chu has established himself as a key figure in preparing the next generation for an AI-driven world, bridging the gap between advanced technology and classroom practice.
Research Focus
Key Achievements
Top Papers
- 1A review of AI teaching and learning from 2000 to 2020342 citations · 2022
- 2AI Education and AI Literacy14 citations · 2022
- 3AI Literacy Education in Primary Schools6 citations · 2022