Yasmine Chaker
Papers
1
Total Citations
2
H-Index
1
About
Yasmine Chaker is a pioneering researcher at the intersection of educational technology, human-robot interaction, and artificial intelligence. Her work focuses on leveraging large language models (LLMs) to enhance social robotics in classroom settings, particularly for storytelling and multicultural integration activities. Chaker’s major contribution lies in demonstrating how LLM-powered social robots like “RoboBuddy” can reduce the planning burden on educators while creating dynamic, improvisational learning experiences that foster inclusion among diverse student populations. Her most-cited paper, “RoboBuddy in the Classroom: Exploring LLM-Powered Social Robots for Storytelling in Learning and Integration Activities” (2025), has already garnered 2 citations, signaling growing interest in this emerging field. This work addresses the critical challenge of balancing technological complexity with pedagogical efficiency, offering a scalable solution for content creation that adapts to real-time classroom interactions. Chaker’s research is particularly notable for its focus on multicultural integration, using robot-mediated storytelling to bridge cultural gaps and promote collaborative learning. As a rising voice in AI-enhanced education, her findings provide a roadmap for deploying socially intelligent robots that support both teachers and students, making her a key figure to watch in the evolution of inclusive, technology-driven classrooms.
Research Focus
Key Achievements
Top Papers
- 1