Integration of LLMs into computing education

Publication Type

Book Chapter

Publication Date

10-2026

Abstract

This paper present the findings of a literature review to investigate the integration of Large Language Models (LLMs) into computing education. This review focuses on 40 papers from toptier computing education conferences that discuss LLMs (e.g., ChatGPT) with coverage from the capabilities of LLMs to their impact on pedagogy, as well as associated challenges and emerging practices. We identify key trends in the use of LLMs, discusses important lessons learned and outlines future research directions. Our findings emphasize the need for a balanced approach to integrating LLMs in education to maximize their benefits while minimizing potential risks. The research aims to inform educators, curriculum developers, and policy makers on the effective and ethical integration of these powerful tools into computing education.

Discipline

Artificial Intelligence and Robotics | Education

Research Areas

Software and Cyber-Physical Systems

Publication

AI for teaching and learning: Reimagining education

Editor

SOCKALINGAM, Nachamma; MENKHOFF, Thomas; TAN, Jayarani

First Page

111

Last Page

129

Identifier

10.1142/9789819838202_0006

Publisher

World Scientific Publishing

Additional URL

https://doi.org/10.1142/9789819838202_0006

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