As computing becomes ever more entwined with modern life, it’s critical that students learn how to navigate these technologies from an early age. Computing education encompasses two major areas. First, learning basic concepts of computer science and programming as early as elementary school can help prepare students for advanced STEM education and careers later in life, while literacy in both the potential uses of computing and the risks for privacy, security, and unintentional bias is an essential skill. Second, by harnessing cutting-edge computing technology, such as robotics, data science, and artificial intelligence, researchers can push forward education in a number of areas by providing students with personalized, automated instruction to supplement traditional classroom instruction.

UChicago faculty and students research and develop the most effective methods of teaching a broad spectrum of learners, with an emphasis on populations traditionally underrepresented in computing fields. They develop tools, curricula, activities, and outreach programs for students from kindergarten through graduate school, in areas such as programming, data science, robotics, and quantum computing. Projects also focus on inclusive approaches, so that the next generation of computer scientists and computational thinkers reflects the diverse communities of our world.

Labs & Groups

CANON (Computing for Anyone) Lab

Diana Franklin
Researching innovations in computational thinking education with an emphasis on equity and inclusion for all underrepresented populations.

Related Faculty

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Marshini Chetty

Associate Professor of Computer Science
Diana Franklin

Diana Franklin

Associate Professor of Computer Science
Sarah Sebo

Sarah Sebo

Assistant Professor of Computer Science

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