Kenan Yildrim
Papers
1
Total Citations
2
H-Index
1
About
Kenan Yildirim is a pioneering researcher at the intersection of artificial intelligence and education, whose work explores how large language models and social robotics can transform learning environments. His most-cited paper, "Enhancing Educational Dynamics Integrating Large Language Models with a Social Robot" (2024), addresses a critical gap in educational technology: the need for more responsive, personalized, and socially engaging interactions between students and robots. By demonstrating how LLMs can be integrated into social robots to improve educational dynamics, Yildirim has laid foundational groundwork for next-generation adaptive learning tools. Though his work is still emerging—with two citations to date—its forward-looking focus on human-robot interaction in classrooms signals significant potential for future impact. His research sits at the nexus of educational technology, human-computer interaction, and natural language processing, offering practical pathways for making AI-driven tutoring more intuitive and effective. As the field of AI in education accelerates, Yildirim’s contributions are poised to influence how researchers and educators design socially intelligent systems that truly support learning.
Research Focus
Key Achievements
Top Papers
- 1