Li-Wen Lian
Papers
2
Total Citations
118
H-Index
2
About
Li-Wen Lian is a leading researcher at the intersection of educational technology, artificial intelligence, and human-robot interaction. Her work focuses on transforming passive learning environments into dynamic, engaging experiences through gamification and collaborative robotics. Lian’s most influential contribution is the development of a gamified AI educational robot designed to enhance learning effectiveness and behavioral outcomes in laboratory safety courses for undergraduates. This study, which has garnered 99 citations, demonstrates how interactive, game-based robotic systems can replace traditional lecture-based instruction, making critical safety training both more effective and engaging. More recently, Lian has advanced the field by exploring how students’ prior knowledge and engagement levels impact robot-supported collaborative learning, using the innovative ICAPB model. This work, with 19 citations, provides a nuanced framework for designing adaptive robotic tutors that respond to individual learner needs. Lian’s research is notable for bridging cutting-edge AI with practical classroom applications, offering scalable solutions to improve STEM education and laboratory safety worldwide. Her work is essential reading for educators, technologists, and researchers seeking to harness robotics for deeper, more personalized learning.
Research Focus
Key Achievements
Top Papers
- 1
- 2