# Large Language Models in Computer Science Classrooms: Ethical Challenges and Strategic Solutions
## 3 LLMs for Computer Science Studies: Advantages and Challenges
The study highlighted significant benefits, including improved problem-solving and debugging skills, enhanced self-confidence, and increased efficiency in algorithmic thinking and project integration. ChatGPT's ability to provide quick responses, clarify concepts, and facilitate modular code assembly was particularly valued for fostering computational thinking. However, the research also revealed challenges, such as over-reliance on the tool, which some students felt hindered their critical thinking and problem-solving initiative. Additionally, occasional inaccuracies and incomplete responses led to frustration and anxiety. To address these concerns, the study advocated for the thoughtful integration of ChatGPT into programming education, emphasizing the importance of assigning complex, modular projects that require active engagement and the synthesis of AI-generated outputs. Teaching prompt engineering and encouraging creativity, collaboration, and independent reasoning were proposed as key strategies to ensure that ChatGPT remains a supplemental tool, rather than a replacement for independent effort. Both studies collectively highlighted the need for balanced, structured approaches to integrating LLMs into education in order to maximize their benefits while mitigating potential drawbacks. The study by [PERSON] et al. [14] explored the use of and satisfaction with LLMs in a cohort of engineering students. Through a case study involving mechanical and management engineering students, the research revealed that essays generated with the assistance of an LLM were of high quality, demonstrating well-distributed grades and a solid understanding of topics, as shown through oral presentations. However, an evaluation of 13 LLM identification systems highlighted the inability to reliably detect AI-generated essays, leading the authors to recommend against outright banning LLMs. The study incorporated pre- and post-experiment questionnaires based on technology acceptance models, analyzing constructs such as trust, social influence, fairness, and ethics, and performance expectancy. The results showed that, while students generally found ChatGPT useful for simplifying and accelerating tasks, concerns persisted regarding its potential impacts on creativity, originality, and the accuracy of its content. The questionnaire resultsprovided deeper insights into student attitudes and perceptions. Pre-use, students exhibited curiosity and mixed feelings about ChatGPT, with increased awareness of its strengths and limitations post-use, while most students appreciated its ability to simplify academic tasks and speed up work; concerns about bias, misinformation, and ethical implications were noted. Trust in ChatGPT's responses diminished slightly after use, particularly regarding their comprehensiveness and accuracy. Social influence, such as peer and media perceptions, was found to have a minimal impact on students' acceptance of ChatGPT. The study also highlighted varying levels of agreement regarding its ethical use and implications for fairness in academic evaluation. [PERSON] et al. [54] provided an extensive examination of how generative AI--particularly LLMs--is influencing computing education. Their report compiled findings from the literature reviews, global surveys of educators and students, and interviews with instructors, capturing the dynamic interplay between the opportunities and challenges presented by LLMs. They underscored the transformative potential of LLMs in personalizing learning, facilitating resource creation, and innovating assessment methods, while also cautioning against risks such as breaches in academic integrity, over-dependence on AI tools, and the dilution of critical thinking abilities. Utilizing the ACM Code of Ethics, the study scrutinized how institutions are responding to these technologies, emphasizing the necessity for precise and ethical usage guidelines.