嘿,ChatGPT,给我一个关于学位冷漠和学生使用人工智能写作业的论文题目吧

IF 6.4 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Internet and Higher Education Pub Date : 2024-04-16 DOI:10.1016/j.iheduc.2024.100950
David Playfoot, Martyn Quigley, Andrew G. Thomas
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引用次数: 0

摘要

ChatGPT 可以让学生在几乎不被发现的情况下剽窃他们的课业内容。人们对本科生使用人工智能工具的意愿知之甚少。在这项研究中,来自英国的心理学本科生(N = 160)表示他们愿意使用 ChatGPT 来撰写大学作业,并且有使用 ChatGPT 的历史。近三分之一(32%)的人表示会使用此类工具;15%的人表示已经使用过。人格(自觉性、合意性、马基雅维利主义、自恋)、学习成绩和学习技能自我效能感都无法预测未来人工智能工具的使用情况。新的冷漠程度量表是唯一显著的预测指标。当被抓的风险较低且惩罚较轻时,使用人工智能工具的意愿会更强,尤其是对程度冷漠程度较高的人而言。研究结果表明,学位冷漠是学术不端行为的一个关键风险因素。本文讨论了学位冷漠的更广泛的研究和教学应用。
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Hey ChatGPT, give me a title for a paper about degree apathy and student use of AI for assignment writing

ChatGPT could allow students to plagiarize the content of their coursework with little risk of detection. Little is known about undergraduate willingness to use AI tools. In this study, psychology undergraduates (N = 160) from the United Kingdom, indicated their willingness to use, and history of using, ChatGPT to write university assignments. Almost a third (32%) indicated that they would use such tools; 15% indicated that they had used them already. Neither personality (conscientiousness, agreeableness, Machiavellianism, narcissism), academic performance, nor study skills self-efficacy could predict future use of AI tools. A novel Degree Apathy Scale was the only significant predictor. Willingness to use AI tools was greater when the risk of getting caught was low, and punishment was light, particularly for those high in degree apathy. Findings suggest that degree apathy is a key risk factor in academic misconduct. Wider research and pedagogical applications of degree apathy are discussed.

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来源期刊
Internet and Higher Education
Internet and Higher Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
19.30
自引率
4.70%
发文量
30
审稿时长
40 days
期刊介绍: The Internet and Higher Education is a quarterly peer-reviewed journal focused on contemporary issues and future trends in online learning, teaching, and administration within post-secondary education. It welcomes contributions from diverse academic disciplines worldwide and provides a platform for theory papers, research studies, critical essays, editorials, reviews, case studies, and social commentary.
期刊最新文献
Editorial Board The paradox of self-efficacy and technological dependence: Unraveling generative AI's impact on university students' task completion Prior online learning experiences as incidental professional development: A cross-sectional survey of online instructor beliefs and strategies Interaction and dialogue: Integration and application of artificial intelligence in blended mode writing feedback A situated expectancy-value theoretical perspective of teaching presence and student engagement in blended learning environments
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