Kevin Lavigne
Papers
1
Total Citations
3
H-Index
1
About
Kevin Lavigne is a pioneering researcher at the intersection of educational technology and artificial intelligence, with a primary focus on making advanced computational concepts accessible to K-12 students. His most notable contribution, "Introducing Reinforcement Learning to K-12 Students with Robots and Augmented Reality" (2023), demonstrates his innovative approach to demystifying complex AI topics through hands-on, immersive learning experiences. By integrating physical robots with augmented reality interfaces, Lavigne has created a tangible bridge between abstract reinforcement learning principles and practical student engagement. Though his work is early in its citation trajectory, with 3 citations to date, its foundational nature positions it as a potential cornerstone for future studies in AI education. Lavigne’s research is particularly impactful for its emphasis on equity and accessibility, ensuring that cutting-edge AI literacy is not confined to higher education but is democratized for younger learners. His work stands out for its creative fusion of robotics and AR, offering a replicable model for educators seeking to inspire the next generation of AI practitioners. As the field of AI education expands, Lavigne’s contributions are poised to shape how reinforcement learning is taught in classrooms worldwide.
Research Focus
Key Achievements
Top Papers
- 1