# Large Language Models in Computer Science Classrooms: Ethical Challenges and Strategic Solutions
## 3 LLMs for Computer Science Studies: Advantages and Challenges
LLMs Acting as Personalized Teachers  
Emerging research has explored the potential of LLMs to serve as intelligent tutoring systems that guide students through their educational journeys. These systems aim to improve the quality of classroom teaching and create a dynamic repository for assessment materials. Through harnessing the power of LLMs, educators can offer more personalized and adaptive learning experiences. Studies on the use of LLMs as virtual assistants or personalized tutors have shown promising results in adapting to individual learning styles  
Figure 4: CS student learning process with LLM assistance. The nodes illustrate the stages of learning, with notes on how LLMs provide assistance at each stage. and pacing. This section examines how LLMs can be effectively integrated into teaching strategies to enhance both the quality and accessibility of education, reflecting a shift towards more student-centered learning environments. [PERSON] [5] conducted a comprehensive review to observe how ChatGPT functions for students. They found that, for students, ChatGPT can function as a virtual tutor, aiding in learning through question-answering, summarization, and collaborative facilitation. It also supports assessment by assisting with initial drafting, concept checking, and exam preparation. Its ability to foster group collaboration through structured discussions and real-time feedback has been noted to enhance small-group problem-solving dynamics. However, [PERSON] also noted that educators should exercise caution, and that ChatGPT should complement--not replace--critical thinking and original work. By serving as a scaffolding tool, it encourages the iterative refinement of students' work, enhancing learning outcomes when integrated thoughtfully. [PERSON] et al. [45] have assessed the feasibility of using ChatGPT as a virtual teaching assistant (TA) in an introductory programming course. They evaluated ChatGPT's effectiveness in grading and providing feedback, comparing it with that of human TAs. Their research highlighted the potential benefits of integrating such technologies for automated grading and personalized learning, but also identified significant areas needing refinement to achieve human-like evaluative accuracy. In particular, they stated that, while ChatGPT can assess the functionality and quality of code, it often does not meet the consistency and depth of feedback provided by human TAs. [PERSON] et al. [59] introduced the AI-enabled Virtual Teaching Assistant (AIIA)--an innovative tool designed to enhance learning experiences in qualitative disciplines through reducing cognitive load and providing personalized support. The system incorporates diverse content types, including quizzes, flashcards, and automated assessment tools, dynamically adapting them to meet the learning needs of the individual. This approach highlights the capability of AI-enabled VTAs to create personalized learning pathways. The AIIA system demonstrated strong potential through its ability to handle text-based learning and critical analysis. Through offering context-aware responses and delivering content in various formats (e.g., text, code, and multi-media), the system effectively caters to diverse learning preferences. This adaptability underscores the role of AIIA in fostering tailored educational experiences that enhance learning outcomes for students with varying needs. The AIIA system integrates seamlessly with Learning Management Systems (LMSs) using custom APIs to provide real-time feedback and personalized learning pathways. Its features include responding to student inquiries, generating quizzes and flashcards, and tailoring support to individual learning styles. Additionally, the system empowers instructors by automating the creation of assessment questions, saving time, and allowing educators to focus on more impactful tasks such as personalized guidance.