Papers

1

Total Citations

33

H-Index

1

About

Michail Salonidis is a leading researcher in educational robotics, with a primary focus on leveraging social robots to enhance numeracy and self-regulated learning in elementary education. His most influential work, the 2018 study "Social Robot NAO as a Self-Regulating Didactic Mediator," has garnered 33 citations and stands as a cornerstone in the field. In this groundbreaking case study, Salonidis introduced an innovative, game-based approach that uses the NAO robot as a didactic mediator to teach arithmetic. By integrating self-regulation principles, his work demonstrates how social robots can scaffold student autonomy and engagement, moving beyond simple instruction to foster deeper conceptual understanding. This contribution has significant implications for designing adaptive, technology-driven classrooms that support diverse learners. Salonidis’s research bridges human-robot interaction and pedagogy, offering a replicable model for using robotic assistants to make abstract mathematical concepts tangible and motivating for young students. His findings continue to influence curriculum design and the development of interactive learning tools, positioning him as a key voice in the evolving dialogue on AI-assisted education.

Research Focus

Key Achievements

1
H-Index
1
Papers
33
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Social Robot NAO as a Self-Regulating Didactic Mediator: a Case Study of Teaching/Learning Numeracy
33 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Technological Educational Institute of Eastern Macedonia and Thrace

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago