Yi-Sian Liang

National Taiwan Normal University

Papers

1

Total Citations

13

H-Index

1

About

Yi-Sian Liang is a prominent researcher at the intersection of educational technology, computational thinking, and language acquisition. Her work centers on designing innovative, interdisciplinary learning environments that integrate computational thinking (CT) with English as a Foreign Language (EFL) instruction, often leveraging game-based learning to enhance student engagement and cognitive development. In her highly cited 2023 study, Liang conducted a quasi-experiment examining how different game-based learning approaches foster both CT skills and EFL proficiency, revealing critical insights into the sequential behaviors that lead to deeper interdisciplinary understanding. This work, garnering 13 citations, underscores her impact on shaping modern pedagogy by bridging technical and linguistic domains. Liang’s contributions are particularly notable for their practical implications in K-12 and higher education settings, where she demonstrates how thoughtfully designed digital tools can simultaneously cultivate problem-solving abilities and language competence. Her research not only advances theoretical frameworks in learning sciences but also provides actionable strategies for educators seeking to prepare students for a digitally fluent, globally connected world.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Sequential Behavior Analysis of Interdisciplinary Activities in Computational Thinking and EFL Learning With Game-Based Learning
13 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: National Taiwan Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago