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ERIC Number: ED674228
Record Type: Non-Journal
Publication Date: 2025-Apr
Pages: 80
Abstractor: As Provided
ISBN: 978-1-00-958169-1
ISSN: N/A
EISSN: N/A
Available Date: 0000-00-00
Generative AI in Computer Science Education: Challenges and Opportunities. Elements in Generative AI in Education
Diana Franklin; Paul Denny; David A. Gonzalez-Maldonado; Minh Tran
Cambridge University Press & Assessment
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.
Cambridge University Press & Assessment. Shaftesbury Road Cambridge CB2 8EA. Tel: 44-1223-553311; e-mail: directcs@cambridge.org; Web site: https://www.cambridgeassessment.org.uk/
Publication Type: Books; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A