Renan Landau Paiva de Medeiros

Universidade Federal do Amazonas

Papers

1

Total Citations

3

H-Index

1

About

Renan Landau Paiva de Medeiros is an emerging researcher whose work sits at the intersection of educational technology, the Internet of Things (IoT), and remote robotics instruction. His most-cited paper, "Learning-IoT: Methodological Framework for Remote Robotics Teaching" (2022), addresses a critical challenge amplified by the COVID-19 pandemic: how to deliver effective, hands-on practical classes in engineering and robotics when students cannot be physically present in a lab. By proposing a structured methodological framework that leverages IoT connectivity, Medeiros offers a scalable solution for educators to maintain experiential learning quality in remote settings. This contribution is particularly valuable for higher education institutions seeking to bridge the gap between theoretical instruction and practical application in a post-pandemic world. While his citation count is still growing—reflecting the early stage of his career—the relevance of his work to a pressing global educational crisis signals its potential for lasting impact. Medeiros’s research is a timely and practical resource for educators and technologists striving to make remote STEM education more interactive, accessible, and effective.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Learning-IoT: Methodological Framework for Remote Robotics Teaching
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Universidade Federal do Amazonas

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago