Papers

1

Total Citations

8

H-Index

1

About

Shih Ting Chu’s research lies at the dynamic intersection of educational technology and human-robot interaction, with a particular focus on how robots can transform learning environments. Her most-cited work, “Roles and research issues of robots in education: a review of the 2011-2021 publications” (2023, 8 citations), provides a comprehensive synthesis of a decade of robotics in education, identifying key roles robots play—from tutors to peers—and critical research gaps that shape future inquiry. This review has become a foundational reference for scholars exploring the integration of digital technology and artificial intelligence in classrooms. Chu’s contributions illuminate how robotics, as an emerging technology, can enhance engagement, personalize instruction, and support diverse learners. Her work is notable for its systematic approach, offering both a retrospective analysis and a forward-looking agenda that guides researchers and educators alike. With a growing citation impact, Chu is establishing herself as a thoughtful voice in the field, bridging technical innovation with pedagogical practice. Her research not only advances academic understanding but also informs practical applications, making her a key figure to watch in the evolving landscape of educational robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Roles and research issues of robots in education: a review of the 2011-2021 publications
8 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: National Taiwan University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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