Huanhuan Wang
Papers
1
Total Citations
31
H-Index
1
About
Huanhuan Wang is a leading researcher at the intersection of artificial intelligence and education, with a primary focus on human-machine collaboration, digital pedagogy, and the ethical integration of emerging technologies in learning environments. Her most influential work, the iSTAR framework (2023), has garnered 31 citations and introduces a groundbreaking model for educational futures that synergizes humans, digital twins, avatars, and robots. This framework addresses critical dimensions of safe, responsible, and effective human-AI collaboration in classrooms, positioning Wang as a pioneer in rethinking how teachers and machines can co-create educational outcomes. Her research emphasizes the need for ethical guardrails, pedagogical alignment, and learner-centered design when deploying AI tools in education. Wang’s contributions are particularly notable for bridging technical innovation with educational theory, offering practical pathways for schools to adopt AI without compromising human agency. Her work has been widely recognized for its forward-looking vision, influencing both academic discourse and policy discussions on the future of teaching and learning. Wang continues to shape the field by exploring how intelligent systems can augment, rather than replace, human educators.
Research Focus
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Top Papers
- 1