Roy Jun Yi Tan
Papers
1
Total Citations
342
H-Index
1
About
Dr. Roy Jun Yi Tan is a leading scholar in artificial intelligence education, whose work has fundamentally shaped how AI is taught and learned across global classrooms. His seminal review, "A review of AI teaching and learning from 2000 to 2020" (2022), has garnered over 340 citations, providing the first comprehensive synthesis of two decades of pedagogical approaches, curriculum design, and assessment strategies in AI. This landmark paper not only maps the evolution of AI literacy but also identifies critical gaps—such as the need for ethical reasoning and hands-on project-based learning—that have since guided curriculum reforms worldwide. Beyond this review, Dr. Tan’s research bridges AI with cognitive science, exploring how learners interact with intelligent tutoring systems and how AI can personalize instruction at scale. His contributions have been recognized through multiple best paper awards and keynote invitations at major educational technology conferences. For students and researchers, Dr. Tan’s work offers both a foundational roadmap and a forward-looking vision for making AI education accessible, equitable, and deeply impactful.
Research Focus
Key Achievements
Top Papers
- 1A review of AI teaching and learning from 2000 to 2020342 citations · 2022