Marie Barking
Papers
1
Total Citations
26
H-Index
1
About
Marie Barking’s research lies at the intersection of early childhood bilingualism, educational technology, and human-robot interaction. Her most cited work, a 2020 study on teaching Turkish-Dutch kindergartners Dutch vocabulary with a social robot, investigates whether a robot’s use of children’s first language (Turkish) translations boosts second-language (Dutch) learning. This pioneering study, with 26 citations, addresses a critical challenge in linguistically diverse classrooms: teachers cannot offer personalized L1 support to every child, but programmable social robots can. Barking’s findings illuminate how robotic scaffolds may bridge language gaps, offering scalable, individualized interventions for young bilingual learners. Her contributions are particularly notable for merging robotics with applied linguistics, demonstrating that technology can adapt to children’s home languages to enhance vocabulary acquisition. By focusing on a real-world classroom dilemma—how to support diverse L1 backgrounds—Barking’s work has implications for educational equity and the design of culturally responsive AI tools. Her research stands out for its practical relevance, advancing both theoretical understanding of bilingual development and tangible solutions for early childhood educators.
Research Focus
Key Achievements
Top Papers
- 1