AI正在改变学术不端的规则吗？深入审视学生对“AI-giarism（AI抄袭）”的认知
Is AI Changing the Rules of Academic Misconduct? An In-depth Look at Students' Perceptions of 'AI-giarism'
AI总结：
该研究针对393名高校学生调研其对AI抄袭的认知，发现学生明确反对直接AI生成内容但对隐蔽AI使用态度矛盾，提出AI抄袭概念化量表，为教育政策与设计提供支持，推动学术不端定义适配AI发展。
摘要：
这项开创性研究探讨了高等教育背景下学生对AI-giarism（AI抄袭，一种涉及AI与剽窃的新兴学术不端形式）的认知。研究对来自多个学科的393名本科生和研究生开展了调查，考察他们对各类AI抄袭场景的看法。研究结果呈现出复杂的认知图景：学生明确反对直接用AI生成内容，但对更隐蔽的AI使用行为态度更为矛盾。本研究提出了一种新工具，作为AI抄袭的初步概念化框架，为教育工作者和政策制定者提供了重要工具。该量表有助于理解和讨论与AI相关的学术不端问题，为AI融合时代的教学设计与评估提供支持。此外，它对学术不端的传统定义提出了挑战，强调需适应不断发展的AI技术。尽管存在AI发展迅速、采用便利抽样等局限性，该研究仍为学术界、政策制定及AI技术在教育中的更广泛融合提供了关键见解。
英文摘要：
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.
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。
