Papers

3

Total Citations

202

H-Index

3

About

Dr. Daner Sun is a leading researcher at the intersection of artificial intelligence, educational robotics, and science education. Her work fundamentally explores how emerging technologies can transform K-12 learning, with a particular focus on fostering creativity and supporting inclusive education. In her highly cited 2023 study, "Artificial Intelligence in Science Education (2013–2023): Research Trends in Ten Years" (110 citations), Dr. Sun provided a comprehensive roadmap of AI integration in science classrooms, identifying key pedagogical shifts and technological trends. She is also renowned for her pioneering investigation into educational robotics, where her 2020 paper (53 citations) revealed how teachers’ pedagogical practices can either unlock or hinder students’ creative potential, based on in-depth interviews with 26 elementary educators. Most recently, her 2024 work on AI for special education (39 citations) offers a decade-long global analysis, highlighting how adaptive technologies can bridge learning gaps for K-12 students with diverse needs. Dr. Sun’s research is distinguished by its practical, teacher-centered approach, providing actionable insights for curriculum designers and policymakers. Her contributions have established her as a vital voice in the dialogue on technology-enhanced, equitable, and creative science education.

Research Focus

Key Achievements

3
H-Index
3
Papers
202
Total Citations
67
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Intelligence in Science Education (2013–2023): Research Trends in Ten Years
110 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Education University of Hong Kong, Central China Normal University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago