Related projects
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Computational thinking is a recent and very popular addition to elementary school curricula. Computational thinking projects students undertake include five basic parts: identifying key features of a problem (decomposing), creating a model of relationships among factors (modeling) in a causal system or data, designing steps (algorithm) to solve the problem or analyze data, trying out and repairing missteps (debugging), and generalizing findings. Research on promoting young students’ (grades 1-6) computational thinking skills is sparse, as is work fusing computational thinking with self-regulated learning. Teachers and students need to know more about how to leverage this new focus in the school curriculum. This project will review research on these topics, develop tools teachers and students can use to observe how teaching and learning unfold in computational thinking projects, and investigate how those classroom practices relate to students growth in computational thinking.
Philip Winne
Pin-Chuan Lin
Codemate
Education
Education
Simon Fraser University
Accelerate
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Find the perfect opportunity to put your academic skills and knowledge into practice!
Find ProjectsThe strong support from governments across Canada, international partners, universities, colleges, companies, and community organizations has enabled Mitacs to focus on the core idea that talent and partnerships power innovation — and innovation creates a better future.