Jiaming Lan
Papers
1
Total Citations
4
H-Index
1
About
Dr. Jiaming Lan is a pioneering researcher at the intersection of artificial intelligence and educational technology, with a primary focus on leveraging game-based learning to enhance AI literacy. Her most influential work, "Enhancing AI Education Through Educational Games: Evidence From a Meta-Analysis Study" (2024), provides the first comprehensive synthesis of 22 empirical studies over the past decade, systematically examining how educational games impact AI learning outcomes. This meta-analysis, already garnering 4 citations in its first year, offers critical insights into the differential effects of school segments, experimental periods, game types, and knowledge types on student engagement and comprehension. Dr. Lan’s contribution is particularly significant for curriculum designers and educators seeking evidence-based strategies to make complex AI concepts accessible to diverse learners. By identifying optimal conditions for game-based AI instruction—such as the effectiveness of simulation games for procedural knowledge—she has laid a rigorous foundation for future pedagogical innovations. Her work bridges the gap between cutting-edge AI research and practical classroom implementation, positioning her as a key voice in the growing field of AI education. Dr. Lan’s research promises to shape how the next generation learns about and interacts with intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1