Yi-Jing Li
Papers
1
Total Citations
3
H-Index
1
About
Yi-Jing Li is a pioneering researcher at the intersection of human-robot interaction and educational technology, whose work explores how robotic systems can enhance cognitive and behavioral outcomes in learning environments. Her most influential study, "Robots facilitate self-talk: effects on ownership, self-efficacy, and learning performance" (2025), investigates the novel role of robots as mediators in self-regulatory processes. By demonstrating that robot-facilitated self-talk significantly boosts learners' sense of ownership, self-efficacy, and academic performance, Li has opened a new frontier in understanding how embodied agents can scaffold metacognitive strategies. This work, already garnering early citations, positions her as a key voice in the emerging field of socially assistive robotics for education. Li’s contributions bridge psychology, human-computer interaction, and pedagogy, offering practical insights for designing intelligent tutoring systems that foster deeper engagement and autonomy. Her research holds promise for transforming how students—particularly those with learning challenges—interact with technology to improve their own learning outcomes. As her citation impact grows, Yi-Jing Li is poised to shape the future of personalized, robot-assisted education.
Research Focus
Key Achievements
Top Papers
- 1