Cleyton Carlos Santos Costa
Papers
2
Total Citations
8
H-Index
2
About
Cleyton Carlos Santos Costa is a rising researcher at the intersection of Educational Robotics and learning technologies, with a focused interest in how computational systems can support and scale robotics education. His work centers on the design and development of digital repositories for learning objects, aiming to make educational robotics more accessible, structured, and pedagogically effective. In his most cited paper, “RepositORE: A Learning Objects Repository for Educational Robotics” (2022, 5 citations), Costa proposed a dedicated platform to organize and share robotics-related educational content, addressing a critical gap in the field. Building on this foundation, his 2024 work, “Integrated Data Processing Architecture Applied to Learning Objects Repository for Educational Robotics,” introduces a more sophisticated, multi-layered approach that integrates data processing techniques to enhance repository functionality. Though early in his career, Costa’s contributions are already shaping how educators and researchers approach the storage, retrieval, and reuse of robotics learning materials. His work reflects a growing recognition that infrastructure—not just hardware or curriculum—is essential for the sustainable integration of robotics in education.
Research Focus
Key Achievements
Top Papers
- 1RepositORE: A Learning Objects Repository for Educational Robotics5 citations · 2022
- 2