Junko Kanero

Koç University, Sabancı Üniversitesi

Papers

12

Total Citations

547

H-Index

6

About

Junko Kanero is a pioneering researcher at the intersection of second language acquisition, child-robot interaction, and educational technology. Her work has fundamentally shaped our understanding of how social robots can serve as effective language tutors, particularly for young children learning foreign vocabulary. Kanero's research spans the design, implementation, and large-scale empirical evaluation of robot-led language instruction, making her one of the field's most influential voices. Her most celebrated contributions include foundational guidelines for designing social robots as second language tutors (160 citations) and a comprehensive review of robots in early language learning (139 citations), both published in 2018. A landmark large-scale study involving 192 Dutch children learning English from a NAO robot (137 citations) provided robust empirical grounding for the field. Kanero has gone beyond effectiveness to examine nuance — investigating how gestures, on-screen cues, embodiment, personality, and anxiety shape learning outcomes, and asking critically who benefits most from robotic tutors. Her work has accumulated over 500 citations, influencing researchers across linguistics, human-robot interaction, and educational psychology. Students exploring the future of AI-assisted learning will find her research both rigorous and visionary.

Research Focus

Key Achievements

6
H-Index
12
Papers
547
Total Citations
46
Avg Citations/Paper
🏆 Most Cited Paper
Guidelines for Designing Social Robots as Second Language Tutors
160 citations · 2018
📈 Most Prolific Year: 2018 (4 Papers)
🤝 Key Collaborators: 42
🏛 Institutions: Koç University, Sabancı Üniversitesi

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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