We support, nurture, and empower the next generation of
Computational Thinking for All
Designed to be accessible for all learners, our tool equips all learners to be future-ready by empowering them to thrive, innovate, and solve complex problems in the future.
Learn Through Fun Challenges
Designed with the learner in mind, our tool creates experiences that transform the way learners engage with critical 21st century skills. It feels like playtime - but with serious learning and results.
Gain Personal Insight
Designed to support self-directed learning, our tool breaks the boundaries of traditional assessment to provide learners with personalized insights. These insights help students identify their unique strengths, improvement areas, and chart a path forward to unlock their full potential.
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
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