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Computer Science Education
in an Age of AI
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NEW BRIEFS AVAILABLE
Guidance on the Future of
What's Inside the
These briefs address critical questions related to the role of AI in primary and secondary computer science (CS) education. Download all of the briefs or click on an individual brief below.
Guidance
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in the "Why is it Still Important to Learn to Program?" brief.
code sense /kōd sens/ noun
Conceptual understanding of a computer program's underlying design, processes, and system relationships, as well as the mental capacity to analyze, simulate, and predict a program’s behavior.
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CS Teachers
85%
of CS teachers think AI should be included in a fundamental CS experience.
88%
of CS teachers want additional resources and professional learning.
Read the Survey
View the Infographic
CSTA and TeachAI surveyed 364 computer science teachers between March and July 2024.
Survey insights are included in the briefs, CSTA/TeachAI Survey, and Infographic.
About the Guidance on the
Future of Computer Science Education
in an Age of AI
This guidance was developed by TeachAI and the CSTA in partnership with Karen Brennan (Harvard University), Quinn Burke (Digital Promise), Marie desJardins (AAAI), Bruce Fuda, Maya Israel (University of Florida), Irene Lee (Everyday AI), Matti Tedre (University of Eastern Finland), and Jan Vahrenhold (German Informatics Society). We thank Christina Gardner-McCune (AI4K12 and University of Florida), Shuchi Grover (Looking Glass Ventures and Edfinity), and Grok Academy for their engagement in the 2024 publication.
We thank the TeachAI Future of CS Workgroup and participating U.S. and global government agencies. We’d also like to recognize Allen Antoine, Owen Astrachan, Elaine Atherton, Brianna Blaser, Carla Brodley, Center for Computational Thinking and Design at Aarhus University, Marie Casao, Edie Cheng, Tara Chklovski, CS Access, Sofía De Jesús, Leigh Ann DeLyser, Charlotte Dungan, Chamisa Edmo, Rudy Escobar, Ben Forta, Crystal Furman, Dan Garcia, Kinnis Gosha, Mark Guzdial, William G. Harris, Sallie Holloway, Lori Jacques, Antti Kiviniemi, John Kleeman, Jill Kowalchuk, Michael Littman, Yolanda Lozano, Don Miller, John Mitchell, Rusty Nye, Jamie Payton, Chris Piech, Jennifer Rosato, Michael Sakowicz, Mehran Sahami, Vicky Sedgwick, Ben Shapiro, Sepehr Vakil, Sara Vogel, Hannah Walden, Shira Wein, Benji Xie, and Aman Yadav for their input.
We thank the following organizations and individuals for their partnership in the 2024 publication of the first three briefs and survey insights: AI4K12, Amazon, Getting Smart, Grok Academy, IndigiGenius, Micron, Shuchi Grover, Sociedade Brasileira de Computação, and Steamlabs Africa.
These resources are openly available for reuse under a Creative Commons BY-NC-SA 4.0 license. While permission for use isn't required, citing the source is appreciated.
Suggested Citation: TeachAI & CSTA (2025). Guidance on the Future of Computer Science Education in an Age of AI. Retrieved from teachai.org/cs. [date].
The resources were last updated: July 7, 2025.
Lead Partners
Guidance on the Future of Computer Science Education in an Age of AI
Partners
In partnership with Karen Brennan, Bruce Fuda, Maya Israel, and Matti Tedre.
TeachAI Steering Committee
In coordination with the World Economic Forum
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Some briefs are available in Spanish. Thank you to Fundacion Kodea for leading this translation.
Algunos resúmenes están disponibles en español. Gracias a la Fundación Kodea por la traducción.