Gaoxia Zhu
Papers
1
Total Citations
26
H-Index
1
About
Dr. Gaoxia Zhu is a leading researcher at the intersection of artificial intelligence and education, with a primary focus on AI-enhanced interdisciplinary learning. Her most-cited work, a 2024 systemic review of AI for interdisciplinary learning, has already garnered 26 citations, establishing her as a key voice in this rapidly evolving field. In this seminal paper, Dr. Zhu systematically maps how AI is applied across diverse educational contexts—from STEM to the humanities—identifying the roles AI plays as a tutor, collaborator, and tool, and critically analyzing its influence on student outcomes. This contribution provides a foundational framework for educators and technologists seeking to integrate AI meaningfully into curricula. Beyond this, her research portfolio explores how AI can foster deeper cognitive engagement and collaborative problem-solving in interdisciplinary settings. Dr. Zhu’s work is notable for its rigorous synthesis of existing literature and its forward-looking implications for designing adaptive learning environments. Her insights are shaping how researchers and practitioners think about the future of education, where AI not only supports but transforms how students connect knowledge across disciplines.
Research Focus
Key Achievements
Top Papers
- 1