Wei Wei Shen
Papers
1
Total Citations
90
H-Index
1
About
Wei Wei Shen is a leading researcher at the intersection of educational technology, human-robot interaction, and language learning. Her work focuses on how anthropomorphized robots can enhance instructional design, particularly in English as a Foreign Language (EFL) classrooms. Shen’s most cited study, "Authoring Robot-Assisted Instructional Materials for Improving Learning Performance and Motivation in EFL Classrooms" (2016, 90 citations), demonstrates that integrating autonomous humanoid robots into classroom settings significantly boosts both student learning outcomes and motivation. This foundational contribution has shaped the emerging field of robot-assisted language education, offering practical frameworks for educators to author effective, robot-mediated curricula. Beyond this landmark paper, Shen’s research continues to explore the cognitive and affective impacts of embodied AI in learning environments, bridging the gap between robotics and pedagogy. Her work has been widely recognized for its practical implications, influencing how technology can support personalized and engaging instruction. With a growing citation impact, Shen is a key voice in the ongoing conversation about the future of human-robot collaboration in education.
Research Focus
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Top Papers
- 1