Large Language Models in Computer Science Classrooms: Ethical Challenges and Strategic Solutions

The integration of large language models (LLMs) into educational settings represents a significant technological breakthrough, offering substantial opportunities alongside profound ethical challenges. Higher education institutions face the widespread use of these tools by students, requiring them to navigate complex decisions regarding their adoption. This includes determining whether to allow the use of LLMs, defining their appropriate scope, and establishing guidelines for their responsible and ethical application. In the context of computer science education, these challenges are particularly acute. On the one hand, the capabilities of LLMs significantly enhance the tools available to developers and software engineers. On the other hand, students’ over-reliance on LLMs risks hindering their development of foundational skills. This study examines these challenges and proposes strategies to regulate the use of LLMs while upholding academic integrity. It focuses on the specific impact of LLMs in programming education, where dependence on AI-generated solutions may erode active learning and essential skill acquisition. Through a comprehensive literature review and drawing on teaching experience and guidelines from global institutions, this study contributes to the broader discourse on the integration of these advanced technologies into educational environments. The goal is to enhance learning outcomes while ensuring the development of competent, ethical software professionals.

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Institutions

Publication Details

Journal
Applied Sciences
Published
2025-02-10
DOI
https://doi.org/10.3390/app15041793
Citations
12
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
38.95

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article

Large Language Models in Computer Science Classrooms: Ethical Challenges and Strategic Solutions

Shulamit Reches, Tirza Hirst, Rina Azoulay
12 citations
Applied Sciences
Software Engineering Techniques and Practices
38.95
article

Large Language Models in Computer Science Classrooms: Ethical Challenges and Strategic Solutions

Shulamit Reches, Tirza Hirst, Rina Azoulay
article en
12 citations

Abstract

The integration of large language models (LLMs) into educational settings represents a significant technological breakthrough, offering substantial opportunities alongside profound ethical challenges. Higher education institutions face the widespread use of these tools by students, requiring them to navigate complex decisions regarding their adoption. This includes determining whether to allow the use of LLMs, defining their appropriate scope, and establishing guidelines for their responsible and ethical application. In the context of computer science education, these challenges are particularly acute. On the one hand, the capabilities of LLMs significantly enhance the tools available to developers and software engineers. On the other hand, students’ over-reliance on LLMs risks hindering their development of foundational skills. This study examines these challenges and proposes strategies to regulate the use of LLMs while upholding academic integrity. It focuses on the specific impact of LLMs in programming education, where dependence on AI-generated solutions may erode active learning and essential skill acquisition. Through a comprehensive literature review and drawing on teaching experience and guidelines from global institutions, this study contributes to the broader discourse on the integration of these advanced technologies into educational environments. The goal is to enhance learning outcomes while ensuring the development of competent, ethical software professionals.

Applied SciencesVol. 15(4)
Jerusalem College of Technology (IL)
University of Waterloo
Openalex Percentile: Top 0%
Software Engineering Techniques and Practices
38.95
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