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We support, nurture, and empower the next generation of

Computational

Thinkers

Innovators

Problem Solvers

Computational
Thinking
Challenge

A digital, AI-powered, formative assessment 

Computational Thinking Challenge is a digital assessment that supports the development of computational thinking competencies for children ages 14-18. 

Computational Thinking for All

All children deserve the chance to develop computational thinking competencies. The Computational Thinking Challenge is designed for all learners, with or without a strong computing background.

Learn Through Fun Challenges

Assessment can be fun! The Computational Thinking Challenge entails problems that are interesting yet challenging, to allow children demonstrate their performance while being mentally stimulated and engaged. 

Gain Personal Insight

A digital assessment can be fully leveraged when it assists personalised learning and empowers children to be self-directed learners. We support this with personalised formative feedback.

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The Computational Thinking Challenge emerged from Dr. Rina Lai's work at the University of Cambridge, where she led the research and development of the assessment tool. The tool has benefited thousands of learners, featured in academic conferences, and published in top international peer-reviewed journals.

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Lai, R. P. Y., & Ellefson, M. R. (2022). How multidimensional is computational thinking competency: A bi-factor model of computational thinking challenge. Journal of Educational Computing Research,1-24.

https://doi.org/10.1177/07356331221121052

 

Lai, R. P. Y. (2021). Beyond Programming: A Computer-Based Assessment of Computational Thinking Competency. ACM Transactions on Computing Education, 22(2),14.  https://doi.org/10.1145/3486598

 

Lai, R. P.Y. (2020) The design, development, and evaluation of a novel computer-based competency assessment of computational thinking. In M. Giannakos, G. Sindre, A. Luxton-Reilly, M. Divitini (Eds) Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education (pp. 573-574). Association of Computing Machinery.

95.6%

Children found the problems in the assessment
stimulating, interesting, and fun

95.5%

Children enjoyed completing the assessment.

Evidence-based design 

Empirically validated

Psychometrically robust 

Featured in

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