ChatGPT Study

This dataset comprises data created during research on AI-generated code, with a focus on software engineering use-cases. The purpose of the research was to investigate how AI should be integrated into university software engineering curricula. The seven core areas of the research include: An analysis of AI and student-written Java code, an analysis of AI and human-written Python code, the results of predictions made “by eye” to distinguish between AI and student-written code, experiments to determine the capabilities of ChatGPT, individual students' feedback on experiences with ChatGPT, a set of guidelines and detailed experiences with AI tools, and the results of a survey of students regarding the use of AI tools.

本数据集汇集了在人工智能生成代码的研究过程中所收集的数据，重点关注软件工程的应用场景。研究旨在探讨人工智能如何融入大学软件工程课程体系。研究涉及的核心领域包括：对人工智能与学生编写的 Java 代码的分析、对人工智能与人类编写的 Python 代码的分析、通过直观判断区分人工智能生成代码与学生编写的代码的预测结果、评估 ChatGPT 功能的实验、学生对使用 ChatGPT 经验的反馈、一组关于人工智能工具的指导方针及详细使用经验，以及对学生使用人工智能工具的调查结果。