Jemima Kang
Papers
1
Total Citations
11
H-Index
1
About
Dr. Jemima Kang explores the intersection of developmental psychology and human-robot interaction, focusing on how children acquire and transmit knowledge from non-human agents. Her most cited work, "The man and the machine: Do children learn from and transmit tool-use knowledge acquired from a robot in ways that are comparable to a human model?" (2021, 11 citations), investigates whether robotic instructors can effectively substitute human models in early learning contexts. This research challenges traditional assumptions about social learning, demonstrating that children can acquire tool-use skills from robots and subsequently transmit that knowledge to peers—a finding with profound implications for educational technology and AI-assisted learning. Dr. Kang’s work bridges cognitive science and robotics, offering insights into how children perceive and interact with intelligent machines. By comparing human and robotic teaching efficacy, she contributes to debates on the role of artificial agents in developmental processes. Her research not only advances theoretical understanding of social transmission but also informs practical applications in classrooms and therapeutic settings. With growing interest in AI’s educational potential, Dr. Kang’s findings are increasingly cited by scholars examining the boundaries of machine-mediated learning.
Research Focus
Key Achievements
Top Papers
- 1