Jan van der Meij
Papers
9
Total Citations
182
H-Index
7
About
Jan van der Meij is a researcher specializing in educational robotics, child-robot interaction, and computer-assisted learning. His work sits at the intersection of human-robot interaction and learning science, with a particular focus on how social robots can be meaningfully integrated into classroom environments to support children's inquiry-based learning. Van der Meij's most significant contributions center on long-term, real-world deployments of autonomous social robots in primary school settings — a methodologically ambitious approach that goes well beyond typical short-term laboratory studies. His most cited work (2020, 46 citations) examines a four-month unsupervised Robot-Extended Computer Assisted Learning (RE-CAL) deployment, offering rare ecological validity in the field. Complementing this, his research on praise and mindset (34 citations) demonstrates how a robot's verbal encouragement can meaningfully shape children's attitudes toward learning. His contributions to the EASEL Project helped advance frameworks for human-robot symbiotic interaction in educational contexts, and his design-oriented studies provide actionable guidance for developers building socially intelligent educational agents. Across his body of work, van der Meij has consistently championed child-centered design and longitudinal research methods, making him a distinctive voice in a field often dominated by short-term experiments. His work is essential reading for researchers and designers building the next generation of classroom learning technologies.
Research Focus
Key Achievements
Top Papers
- 1Working with a Social Robot in School46 citations · 2020
- 2
- 3The EASEL Project: Towards Educational Human-Robot Symbiotic Interaction26 citations · 2016
- 4
- 5Towards a child-robot symbiotic co-development: a theoretical approach18 citations · 2015
- 6Towards a Synthetic Tutor Assistant: The EASEL Project and its Architecture17 citations · 2016
- 7Now We’re Talking12 citations · 2019
- 8Inquiry learning with a social robot: can you explain that to me?6 citations · 2015
- 9