Papers
15
Total Citations
497
H-Index
11
About
Christian Giang’s research sits at the intersection of educational robotics, computational thinking, and 21st-century skill development, with a strong emphasis on making these technologies accessible and effective in formal education. His most influential work, “Fostering computational thinking through educational robotics: a model for creative computational problem solving” (201 citations), provides a foundational framework that has shaped how educators integrate robotics to teach CT. Giang has also advanced the field by developing evidence-based intervention methods—such as feedback and guidance strategies in primary school settings (86 citations)—and by creating heuristics for evaluating educational robotics systems (33 citations). His innovative use of escape games as teaching tools and his work on tangible programming languages for the Thymio robot demonstrate a commitment to engaging, hands-on learning. During the COVID-19 pandemic, he pioneered accessible maker-based approaches to online robotics education (20 citations). With a portfolio spanning teacher perspectives, pupil perceptions, and even children’s drawings of robots, Giang’s research consistently bridges theory and practice, offering concrete tools and insights that empower educators and inspire young learners to develop critical digital competencies.
Research Focus
Key Achievements
Top Papers
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- 3Exploring Escape Games as a Teaching Tool in Educational Robotics37 citations · 2019
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- 7Accessible Maker-Based Approaches to Educational Robotics in Online Learning20 citations · 2021
- 8A Tangible Programming Language for the Educational Robot Thymio16 citations · 2019
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