Alan Mc Elroy
Papers
1
Total Citations
4
H-Index
1
About
Alan Mc Elroy is a researcher at the forefront of educational technology, specializing in human-robot interaction and game-based learning. His work explores how humanoid robots, such as Pepper, can be programmed to facilitate engaging, multimodal language instruction. In his most cited study, “Designing and Programming Game-Based Learning with Humanoid Robots: A Case Study of the Multimodal ‘Make or Do’ English Grammar Game with the Pepper Robot” (2022, 4 citations), Mc Elroy demonstrates a novel approach to teaching English grammar by integrating physical robot gestures, speech, and interactive gameplay. This contribution highlights his ability to bridge programming, pedagogy, and robotics, offering a tangible model for how autonomous robots can support personalized learning in classrooms. Though his citation count is still growing, Mc Elroy’s work is notable for its practical, hands-on methodology, providing a blueprint for educators and developers seeking to harness social robots for language acquisition. His research underscores the potential of embodied AI to transform traditional grammar exercises into dynamic, student-centered experiences, positioning him as an emerging voice in the intersection of robotics and education.
Research Focus
Key Achievements
Top Papers
- 1