Papers
6
Total Citations
114
H-Index
4
About
Nardie Fanchamps is a leading researcher in computational thinking (CT) education, with a focus on how young learners develop algorithmic reasoning through robotics and programming. Her work centers on Sense-Reason-Act (SRA) programming, a framework she has shown to be instrumental in teaching primary school pupils to anticipate and handle dynamic, unpredictable problems—a key step beyond basic coding. Her most cited study (65 citations) demonstrates that SRA programming with Lego robotics significantly boosts both algorithmic thinking and self-efficacy, comparing two instructional approaches. Across her portfolio, Fanchamps has explored how output modalities—tangible robots versus on-screen visuals—and even unplugged smart games affect CT development, consistently finding that SRA programming forces deeper cognitive engagement. Her 2024 work on online educational robotics with augmented reality addresses the pandemic-driven need for remote STEM tools, contributing to scalable, blended learning solutions. With over 100 combined citations, Fanchamps’ research provides actionable insights for educators and curriculum designers, establishing her as a key voice in making computational thinking accessible and effective for children.
Research Focus
Key Achievements
Top Papers
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- 6Educational Robotics at Schools Online with Augmented Reality3 citations · 2024