Generative AI in Computer Science Education: Challenges and Opportunities

Author:   Diana Franklin (University of Chicago) ,  Paul Denny (The University of Auckland) ,  David A. Gonzalez-Maldonado (The University of Chicago) ,  Minh Tran (The University of Chicago)
Publisher:   Cambridge University Press
ISBN:  

9781009581691


Pages:   80
Publication Date:   24 April 2025
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Generative AI in Computer Science Education: Challenges and Opportunities


Overview

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.

Full Product Details

Author:   Diana Franklin (University of Chicago) ,  Paul Denny (The University of Auckland) ,  David A. Gonzalez-Maldonado (The University of Chicago) ,  Minh Tran (The University of Chicago)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
ISBN:  

9781009581691


ISBN 10:   1009581694
Pages:   80
Publication Date:   24 April 2025
Audience:   General/trade ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction; 2. Understanding Large Language Models and ChatGPT; 3. Educator and Student Perceptions; 4. Class Preparation; 5. Class Instruction; 6. Designing for the User; 7. Challenges posed by Learners' Misuse of Generative AI; 8. New and Emerging Pedagogical; Approaches; 9. CS1-LLM: A Case Study of LLM Integration in an Introductory Coding Course; 10. Conclusions; References.

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