Generative AI in Computer Science Education: Challenges and Opportunities

Generative AI in Computer Science Education: Challenges and Opportunities (Elements in Generative AI in Education) book cover

Generative AI in Computer Science Education: Challenges and Opportunities (Elements in Generative AI in Education)

Author(s): Diana Franklin (Author), Paul Denny (Author), David A. Gonzalez-Maldonado (Author), Minh Tran (Author)

  • Publisher: Cambridge University Press
  • Publication Date: April 24, 2025
  • Language: English
  • Print length: 80 pages
  • ISBN-10: 1009581708
  • ISBN-13: 9781009581707

Book Description

Generative AI is a disruptive technology that has the potential to transform many aspects of how computer science is taught. Like previous innovations such as high-level programming languages and block-based programming languages, generative AI lowers the technical expertise necessary to create working programs, bringing the power of computation to more people. The programming process is already changing as a result of its presence, even for expert programmers. It also poses significant challenges to educators around re-thinking assessment as some well-established approaches may no longer be viable. Many traditional programming assignments can be completed using generative AI tools with minimal effort, thus potentially undermining learning. In this Element, the authors explore both the opportunities and the challenges for computer science education resulting from the widespread availability of generative AI.

Editorial Reviews

Editorial Reviews

Book Description

Explores the ways that large language models and generative AI tools will affect computer science education.

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