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

Marshini Chetty

Associate Professor of Computer Science

Diana Franklin

Associate Professor of Computer Science

Sarah Sebo

Assistant Professor of Computer Science

News & Events

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Alumni Spotlight: Dixin Tang, Assistant Professor of Computer Science at UT Austin

Feb 05, 2024
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NetMicroscope Uses AI to Improve Network Monitoring for a Better Internet Experience

Feb 01, 2024
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NeurIPS 2023 Award-winning paper by DSI Faculty Bo Li, DecodingTrust, provides a comprehensive framework for assessing trustworthiness of GPT models

Feb 01, 2024
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New research unites quantum engineering and artificial intelligence

Jan 29, 2024
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“Machine Learning Foundations Accelerate Innovation and Promote Trustworthiness” by Rebecca Willett

Jan 26, 2024
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Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao

Jan 23, 2024
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Exploring 3D Paintbrush: An AI That Colors with Words

Jan 22, 2024
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Group From UChicago CS To Present Four Papers at Most Prestigious International Quantum Conference

Jan 09, 2024
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Alumni Spotlight: Get To Know Emily Wenger, a 2023 CS Graduate Who Was Just Named To The Forbes 30 Under 30 List

Nov 29, 2023
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Three UChicago PhD Students From The Department of Computer Science Named To Forbes 30 Under 30 List

Nov 28, 2023
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High School Students In The Collegiate Scholars Program Get To Know Robots

Nov 14, 2023
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AxLab Features Multidisciplinary Works at World’s Largest Art and Technology Festival

Nov 03, 2023
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