Papers

4

Total Citations

54

H-Index

3

About

Evelina Dineva is a researcher whose work bridges two compelling domains: embodied cognition and robotics education. Her interdisciplinary scholarship explores how organisms develop intelligence through dynamic interactions with their environments, while also examining how cutting-edge robotics concepts can be effectively taught in diverse educational contexts. In the realm of cognitive science, Dineva has made meaningful contributions to understanding embodied neural dynamics and developmental psychology. Her 2014 review paper, garnering 14 citations, tackled fundamental questions about how behavioral patterns and cognitive abilities emerge from organism-environment interactions — a challenge at the heart of developmental science. Her 2015 work on embodied neural dynamics further extended these ideas, demonstrating how sensory-motor loops generate complex behavioral outcomes even in relatively simple neural architectures. Dineva's most-cited contribution (27 citations) emerged from an unexpected source: the COVID-19 pandemic. Her 2020 study on online robotics teaching not only documented best practices during a global crisis but revealed a striking finding — restructured online instruction actually improved student grade performance. This work, complemented by a 2021 curriculum development paper, positions her as a thoughtful voice in engineering education reform, with insights that extend well beyond pandemic-era teaching challenges.

Research Focus

Key Achievements

3
H-Index
4
Papers
54
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
A Robotics Course during COVID-19: Lessons Learned and Best Practices for Online Teaching beyond the Pandemic
27 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Constructor University, Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Top Papers

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  4. 4
    Embodied Neural Dynamics
    3 citations · 2015

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago