Jian-Wen Fang
Papers
2
Total Citations
8
H-Index
2
About
Jian-Wen Fang is a leading researcher at the intersection of educational technology, human-robot interaction, and early childhood development. Their work primarily investigates how collaborative robots can enhance social-emotional learning and self-regulated learning in both preschool and teacher education contexts. Fang’s most-cited paper, “Effects of a human-robot collaborative teaching approach on preschoolers’ social-emotional competence and learning behaviors” (2025, 6 citations), demonstrates the transformative potential of robots as interactive learning partners, showing measurable gains in young children’s emotional regulation and classroom engagement. In a complementary study on “Emotional supports in robot-based self-regulated learning contexts” (2024, 2 citations), Fang explores how robotic systems can scaffold pre-service teachers’ development of digital learning resources, emphasizing the role of emotional feedback in fostering autonomous learning skills. These contributions highlight Fang’s innovative use of robotics to bridge affective and cognitive dimensions of education. With a growing citation record and a focus on practical, classroom-ready applications, Fang’s work is shaping the future of technology-enhanced pedagogy, offering evidence-based pathways for integrating social robots into early childhood and teacher training curricula.
Research Focus
Key Achievements
Top Papers
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