Jen-Hang Wang
Papers
1
Total Citations
3
H-Index
1
About
Jen-Hang Wang is a pioneering researcher at the intersection of human-robot interaction, educational technology, and cognitive psychology. His work explores how social robots can enhance learning and self-regulation, particularly through the novel concept of robot-facilitated self-talk. In his most-cited study, "Robots facilitate self-talk: effects on ownership, self-efficacy, and learning performance" (2025), Wang demonstrates that when learners engage in self-talk mediated by a robotic agent, they experience heightened feelings of ownership over their learning process, increased self-efficacy, and improved performance outcomes. This research bridges embodied cognition and educational design, offering a transformative approach to personalized learning support. Though early in its citation trajectory, the work has already garnered attention for its innovative methodology and practical implications. Wang’s contributions are shaping how we think about robots not just as tools, but as interactive partners that can scaffold metacognitive strategies. His findings hold promise for developing adaptive learning environments where robots help students articulate and reflect on their own thinking, ultimately fostering deeper engagement and autonomy.
Research Focus
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Top Papers
- 1