Mehdi Khaneboubi
Papers
1
Total Citations
2
H-Index
1
About
Mehdi Khaneboubi is a researcher whose work bridges educational technology, teacher training, and the integration of robotics in primary education. His key research areas include the analysis of pedagogical resources for robotics, the role of digital tools in classroom practices, and the professional development of teachers in technology-rich environments. Khaneboubi’s major contribution lies in his lexical analysis of teachers’ resources across different robots, as demonstrated in his most-cited paper, "Robotics in Primary Education: A Lexical Analysis of Teachers’ Resources Across Robots" (2023, 2 citations). This work provides a nuanced understanding of how educators adapt and repurpose materials when introducing robotics to young learners, highlighting the gap between intended curriculum and actual classroom implementation. By systematically examining the language and structure of these resources, Khaneboubi offers insights that inform both teacher education programs and the design of more effective educational technologies. His research is particularly valuable for educators and policymakers seeking to integrate STEM and computational thinking in early education. Though his citation count is modest, his focused, qualitative approach contributes a critical perspective to the growing field of educational robotics.
Research Focus
Key Achievements
Top Papers
- 1