Kangkang Li
Papers
1
Total Citations
4
H-Index
1
About
Dr. Kangkang Li is a leading researcher at the intersection of artificial intelligence and educational technology, with a primary focus on leveraging game-based learning to enhance AI education. In their landmark 2024 meta-analysis, "Enhancing AI Education Through Educational Games," Dr. Li synthesized findings from 22 empirical studies conducted over the past decade, offering the first comprehensive evidence that educational games significantly improve student outcomes in AI learning. This work has already garnered 4 citations in its first year, signaling its growing influence. Dr. Li’s research systematically examines how factors such as school segment, experimental duration, scale, game types, and knowledge types moderate these effects, providing actionable insights for educators and curriculum designers. By bridging the gap between playful engagement and rigorous AI instruction, Dr. Li is shaping how the next generation learns about machine learning, neural networks, and ethical AI. Their work is essential reading for anyone interested in making AI education more accessible, effective, and engaging—a true pioneer in the gamification of technical pedagogy.
Research Focus
Key Achievements
Top Papers
- 1