Web编程中的抄袭与AI辅助滥用：不公平优势与特征
Plagiarism and AI Assistance Misuse in Web Programming: Unfair Benefits and Characteristics
AI总结：
本文通过受控实验研究Web编程教育中抄袭与AI辅助滥用的不公平优势及特征，发现两类不当行为均能以更少时间获得相当成绩，且AI辅助提交更复杂、可读性更差，为开发自动检测工具提供依据。
摘要：
在编程教育中，抄袭和人工智能（AI）辅助的滥用是正在出现的问题。然而，针对Web编程的相关研究并不多。我们计划开发自动化工具，以帮助教师识别这两种不当行为。为了充分理解这些问题，我们进行了一项受控实验，以观察不公平优势和特征。我们比较了学生在独立完成Web编程任务、提交抄袭内容以及在AI辅助（ChatGPT）帮助下完成任务的成绩表现。我们的研究表明，参与此类不当行为的学生以更少的完成时间获得了相当的考试分数。抄袭提交的内容除了颜色和标识符名称等细微方面外，与独立完成的提交内容相似。AI辅助的提交内容更为复杂，使其可读性较差。学生们认为，如果适当注明AI的使用，AI辅助可能是有用的，尽管他们对解决方案的可读性和正确性并不信服。
英文摘要：
In programming education, plagiarism and misuse of artificial intelligence (AI) assistance are emerging issues. However, not many relevant studies are focused on web programming. We plan to develop automated tools to help instructors identify both misconducts. To fully understand the issues, we conducted a controlled experiment to observe the unfair benefits and the characteristics. We compared student performance in completing web programming tasks independently, with a submission to plagiarize, and with the help of AI assistance (ChatGPT). Our study shows that students who are involved in such misconducts get comparable test marks with less completion time. Plagiarized submissions are similar to the independent ones except in trivial aspects such as color and identifier names. AI-assisted submissions are more complex, making them less readable. Students believe AI assistance could be useful given proper acknowledgment of the use, although they are not convinced with readability and correctness of the solutions.
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。
