Jie Chao

Concord Consortium

Papers

1

Total Citations

182

H-Index

1

About

Jie Chao is a leading researcher at the intersection of computational thinking (CT) and STEM education. Her seminal work, "Integrating Computational Thinking in STEM Education: A Literature Review" (2021), has garnered over 180 citations, establishing a foundational framework for how CT can be systematically woven into science, technology, engineering, and mathematics curricula. Chao’s primary contributions lie in defining actionable strategies for educators to embed problem-solving and data-analysis skills within authentic STEM contexts, moving beyond isolated coding exercises. Her research has been instrumental in shaping curriculum design and teacher professional development, demonstrating how CT enhances students’ ability to model complex systems and engage in evidence-based reasoning. Notably, her work bridges the gap between theoretical frameworks and classroom practice, offering concrete tools for assessment and integration. By clarifying the pedagogical pathways for CT in STEM, Chao has influenced both policy discussions and instructional approaches, making her a pivotal voice in modern science education. Her ongoing efforts continue to empower learners to think like scientists and engineers in a data-rich world.

Research Focus

Key Achievements

1
H-Index
1
Papers
182
Total Citations
182
Avg Citations/Paper
🏆 Most Cited Paper
Integrating Computational Thinking in STEM Education: A Literature Review
182 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Concord Consortium

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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