[论文解读] Is AI Changing the Rules of Academic Misconduct? An In-depth Look at Students' Perceptions of 'AI-giarism'

Cecilia Ka Yuk Chan|arXiv (Cornell University)|Jun 6, 2023

Academic integrity and plagiarism被引用 28

一句话总结

本论文研究学生对AI抄袭的看法，揭示对AI生成内容的强烈反对，但对更微妙的AI辅助做法的看法则更为混合，同时提出了一个初步的AI相关不当行为的测量工具。

ABSTRACT

This pioneering study explores students' perceptions of AI-giarism, an emergent form of academic dishonesty involving AI and plagiarism, within the higher education context. A survey, undertaken by 393 undergraduate and postgraduate students from a variety of disciplines, investigated their perceptions of diverse AI-giarism scenarios. The findings portray a complex landscape of understanding, with clear disapproval for direct AI content generation, yet more ambivalent attitudes towards subtler uses of AI. The study introduces a novel instrument, as an initial conceptualization of AI-giarism, offering a significant tool for educators and policy-makers. This scale facilitates understanding and discussions around AI-related academic misconduct, aiding in pedagogical design and assessment in an era of AI integration. Moreover, it challenges traditional definitions of academic misconduct, emphasizing the need to adapt in response to evolving AI technology. Despite limitations, such as the rapidly changing nature of AI and the use of convenience sampling, the study provides pivotal insights for academia, policy-making, and the broader integration of AI technology in education.

研究动机与目标

• 在高等教育情境中了解学生如何看待AI抄袭。
• 开发一种新颖的工具来概念化并衡量AI相关的学术不端行为。
• 强调在AI整合时代对教学、政策和评估的影响。
• 识别研究AI支持的学术不诚信的局限性与未来方向。

提出的方法

• 对来自不同学科的393名本科生和研究生的调查。
• 在各种AI抄袭情景中评估看法。
• 引入一种新颖工具作为AI抄袭的初始概念框架。

实验结果

研究问题

• RQ1 学生对AI抄袭作为新兴学术不诚实形式的看法是什么？
• RQ2 对AI抄袭的态度如何在不同情景和AI参与程度上变化？
• RQ3 这些看法对高等教育的教学、政策和评估有何影响？

主要发现

• 学生对直接的AI内容生成持明确否定态度。
• 对更微妙的AI使用的态度更为犹豫或细致。
• 开发出一种新颖工具来概念化AI抄袭，帮助教育者和政策制定者。
• 本研究强调需要在AI技术演进的背景下调整对学术不端的传统定义。
• 局限性包括AI能力的快速变化和便利抽样的使用。
• 研究结果为政策制定和教育领域更广泛的AI融入提供关键见解。