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We support, nurture, and empower the next generation of

Thinkers

Innovators

Problem Solvers

Change Makers

Thinkers

Innovators

Problem Solvers

Change Makers

Q Nova
 

A digital, AI-powered, formative assessment 

Discover the power of next-gen game-based assessments designed for today’s learners.

Develop complex skills

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

Our tool breaks the boundaries of traditional assessment to provide learners with personalized and actionable insights. These insights help students identify their unique strengths, improvement areas, and chart a path forward to unlock their full potential.

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Q Nova was developed from the Computational Thinking Challenge , based on Dr. Rina Lai’s pioneering research at the University of Cambridge, where she led the creation of this innovative assessment tool. Since then, the tool has benefited thousands of learners worldwide and has been featured at major academic conferences and published in leading 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 challenges
stimulating, interesting, and fun

95.5%

Children enjoyed completing the challenges.

Evidence-based tool 

Seriously Fun

Psychometrically robust 

Featured in

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