Jan de Wit
Papers
23
Total Citations
731
H-Index
12
About
Jan de Wit is a pioneering researcher at the intersection of human-robot interaction, child development, and second language acquisition. His work focuses primarily on how social robots can serve as effective tutors for young children learning a second language, with a particular emphasis on preschool and kindergarten-aged learners acquiring English or Dutch vocabulary. De Wit's most influential contribution is the development and empirical validation of robot-based language tutoring frameworks. His 2018 guidelines for designing social robots as second language tutors (160 citations) established foundational principles for the field, while his large-scale longitudinal study (137 citations) demonstrated measurable effectiveness across multiple sessions. He has made significant advances in understanding how robotic gestures, adaptive tutoring strategies, and motivational techniques grounded in Self-Determination Theory enhance children's learning outcomes and engagement. Beyond pedagogy, de Wit has explored nuanced questions about how children perceive robot tutors — examining anthropomorphism, task engagement, and the benefits of first-language support for linguistically diverse classrooms. His systematic review of robot-performed gestures (28 citations) further cements his role as a leading voice in social robot design. With over 630 cumulative citations, his research is reshaping how educators and technologists think about AI-assisted early childhood language learning.
Research Focus
Key Achievements
Top Papers
- 1Guidelines for Designing Social Robots as Second Language Tutors160 citations · 2018
- 2Second Language Tutoring Using Social Robots: A Large-Scale Study137 citations · 2019
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- 6Varied Human-Like Gestures for Social Robots35 citations · 2020
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- 10A Robot Teaching Young Children a Second Language24 citations · 2018