Yanning Jin

Beijing University of Posts and Telecommunications

Papers

Total Citations

H-Index

About

Yanning Jin is a leading researcher at the intersection of human-robot interaction and educational technology, with a primary focus on developing socially intelligent robots that can sense, understand, and enhance student engagement in learning environments. Her most influential work, "Social Robots that can Sense and Improve Student Engagement" (2020, 18 citations), lays the groundwork for a future where tutor robots are not merely instructional tools but empathetic partners capable of providing real-time affective support. Jin’s core contribution lies in designing systems that allow robots to perceive subtle cues of student disengagement or confusion and adapt their behavior accordingly, thereby fostering more personalized and motivating learning experiences. This research is pivotal in moving beyond static, one-size-fits-all educational robots toward dynamic, responsive agents that can truly collaborate with human teachers. By bridging the gap between affective computing and pedagogy, Yanning Jin is helping to define the essential capabilities that will make social robots valued members of the classroom of the future.