Yi-Sian Liang

National Taiwan Normal University

Papers

1

Total Citations

64

H-Index

1

About

Dr. Yi-Sian Liang is a pioneering researcher at the intersection of educational technology, computational thinking (CT), and second language acquisition. Her most influential work, a 2021 study garnering 64 citations, introduces an innovative interdisciplinary framework that simultaneously improves young learners’ CT skills and foreign language proficiency. Liang’s core contribution lies in designing and validating “plugged” and “unplugged” pedagogical approaches: the plugged method leverages educational robots to teach CT concepts while embedding English vocabulary and sentence structures, creating a dual-learning environment. This work addresses a critical gap in K-12 education by demonstrating that technical and linguistic competencies can be developed synergistically, rather than in isolation. By bridging computer science education with language learning, Liang has provided educators with practical, evidence-based strategies for integrated curricula. Her research not only advances the field of computational thinking instruction but also offers scalable solutions for multilingual classrooms, making her a key figure in modern interdisciplinary pedagogy.

Research Focus

Key Achievements

1
H-Index
1
Papers
64
Total Citations
64
Avg Citations/Paper
🏆 Most Cited Paper
Simultaneously Improving Computational Thinking and Foreign Language Learning: Interdisciplinary Media With Plugged and Unplugged Approaches
64 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: National Taiwan Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago