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Computer Science Education 

in an Age of AI

Explore the Guidance

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

Read more

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.

Hear from

 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

Engage in the 

If your organization influences or provides curriculum or professional learning, consider joining discussions with other thought leaders to inform the future of CS education in an age of AI.

Future of CS Education

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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.