课堂中的ChatGPT：其解答本科计算机科学问题的优缺点分析
ChatGPT in the Classroom: An Analysis of Its Strengths and Weaknesses for Solving Undergraduate Computer Science Questions
AI总结：
本研究针对ChatGPT可能被学生用于作弊的学术担忧，通过定量分析证实其解答本科计算机科学各类问题的高度不可靠性，提醒学生盲目依赖会自我损害，并为师生提供建设性建议。
摘要：
ChatGPT是由OpenAI开发的一款人工智能语言模型，能够理解并生成类人文本，可应用于语言生成、问答、文本摘要、聊天机器人开发、语言翻译、情感分析、内容创作、个性化服务、文本补全和故事创作等多种场景。尽管ChatGPT收获了大量正面关注，它也在学术界引发了担忧与不确定感，人们担心学生可能利用ChatGPT完成课后作业和考试，在未真正掌握知识的情况下获得不错的成绩。本文采用定量方法，证明ChatGPT在解答本科计算机科学各主题的各类问题时存在高度不可靠性。我们的分析表明，学生盲目依赖ChatGPT完成作业和考试可能会面临自我损害的风险。基于该分析，我们为学生和教师双方提供了建设性建议。
英文摘要：
ChatGPT is an AI language model developed by OpenAI that can understand and generate human-like text. It can be used for a variety of use cases such as language generation, question answering, text summarization, chatbot development, language translation, sentiment analysis, content creation, personalization, text completion, and storytelling. While ChatGPT has garnered significant positive attention, it has also generated a sense of apprehension and uncertainty in academic circles. There is concern that students may leverage ChatGPT to complete take-home assignments and exams and obtain favorable grades without genuinely acquiring knowledge. This paper adopts a quantitative approach to demonstrate ChatGPT's high degree of unreliability in answering a diverse range of questions pertaining to topics in undergraduate computer science. Our analysis shows that students may risk self-sabotage by blindly depending on ChatGPT to complete assignments and exams. We build upon this analysis to provide constructive recommendations to both students and instructors.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
