Chang Cai
Papers
1
Total Citations
26
H-Index
1
About
Chang Cai is a leading researcher at the intersection of artificial intelligence and education, with a primary focus on how AI technologies can transform interdisciplinary learning. Their most-cited work, a 2024 systemic review titled "A systemic review of AI for interdisciplinary learning: Application contexts, roles, and influences," has already garnered 26 citations, reflecting its timely and foundational impact. In this seminal paper, Cai systematically maps the diverse application contexts of AI in education—from personalized tutoring systems to collaborative problem-solving tools—and critically examines the roles AI plays as a tutor, tutee, or tool, as well as its influences on student engagement, knowledge integration, and cognitive development. This work provides a crucial framework for educators and technologists seeking to harness AI’s potential while navigating its ethical and pedagogical challenges. Beyond this review, Cai’s research advances the design of AI-enhanced curricula that foster critical thinking and creativity across disciplines. Their contributions are shaping how next-generation learning environments are conceptualized, making them a key voice in the ongoing dialogue about AI’s role in education.
Research Focus
Key Achievements
Top Papers
- 1