Mahesh Liyanawatta
Papers
3
Total Citations
87
H-Index
3
About
Mahesh Liyanawatta is a pioneering researcher at the intersection of educational technology, human-robot interaction, and situated learning. His work centers on designing innovative, robot-mediated learning environments that leverage immediate feedback and dramatic narrative to enhance student engagement and performance. His most impactful contribution, the 2022 paper "Robots in situated learning classrooms with immediate feedback mechanisms to improve students' learning performance," has garnered 81 citations, establishing him as a key voice in the field. Liyanawatta’s research uniquely explores how robots can serve as interactive agents—such as a ventriloquist doll in a virtual situational environment—to facilitate self-dialogue and perspective-taking, helping learners overcome difficulties in imagining scenarios and evaluating their own problem-solving approaches. He has also pioneered the integration of robots into digital theater for audience-involved, drama-based learning. By blending physical robotics with virtual contexts, Liyanawatta’s work offers practical, scalable solutions for creating more immersive and responsive classrooms, making complex learning tasks more accessible and effective for students.
Research Focus
Key Achievements
Top Papers
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