Sybren Spit

University of Amsterdam

Papers

1

Total Citations

26

H-Index

1

About

Sybren Spit is a researcher whose work sits at the intersection of educational technology, bilingualism, and human-robot interaction. Her primary research focus is on how social robots can support second language (L2) vocabulary acquisition in young, linguistically diverse children, particularly in early childhood education settings. Spit’s most cited study (2020, 26 citations) investigates a novel approach: programming a social robot to provide first language (L1) Turkish translations while teaching Dutch vocabulary to Turkish-Dutch kindergartners. This work addresses a critical challenge in multilingual classrooms—how to leverage children’s home languages when teachers cannot speak them all. By demonstrating that robot-delivered L1 support can benefit L2 learning, Spit’s research opens new pathways for inclusive, technology-assisted pedagogy. Her contributions are notable for bridging developmental psychology, computational design, and applied linguistics, offering practical solutions for real-world educational inequities. With a growing citation footprint, Spit is establishing herself as a key voice in the emerging field of robot-assisted language learning, particularly for children from immigrant and multilingual backgrounds.

Research Focus

Key Achievements

1
H-Index
1
Papers
26
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Teaching <scp>Turkish‐Dutch</scp> kindergartners Dutch vocabulary with a social robot: Does the robot's use of Turkish translations benefit children's Dutch vocabulary learning?
26 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of Amsterdam

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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