Student (Mis)Use of Generative AI Tools for University-Related Tasks

被引:0
|
作者
Reiter, Leonhard [1 ,2 ]
Jorling, Moritz [3 ]
Fuchs, Christoph [2 ]
Bohm, Robert [1 ,4 ,5 ]
机构
[1] Univ Vienna, Fac Psychol, Vienna, Austria
[2] Univ Vienna, Fac Business Econ & Stat, Vienna, Austria
[3] Emlyon Business Sch, Mkt Dept, Lyon, France
[4] Univ Copenhagen, Dept Psychol, Copenhagen, Denmark
[5] Univ Copenhagen, Copenhagen Ctr Social Data Sci SODAS, Copenhagen, Denmark
关键词
Artificial intelligence; AI; education; technology acceptance; TAM; cheating; AI use; AI misuse; TECHNOLOGY ACCEPTANCE MODEL; RANDOMIZED-RESPONSE; PERCEIVED EASE; METAANALYSIS; MOTIVATION;
D O I
10.1080/10447318.2025.2462083
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Although Artificial Intelligence (AI) holds immense potential to enhance the educational experience, its use also presents challenges. This research examines the use and misuse of AI tools for university-related tasks. We surveyed 498 students from three faculties at a large European university to, first, identify factors driving their willingness to use AI tools for university-related tasks, and, second, estimate the prevalence of cheating behavior involving the unauthorized use of AI tools in examinations. Specifically, we tested and extended the Technology Acceptance Model 2 (TAM2) by identifying trust and perceived opportunity costs as additional determinants of using AI tools for university-related tasks. To estimate the proportion of students cheating during examinations, we applied a randomized response technique. We discuss the results with respect to the effective and appropriate implementation of AI tools in higher education. Our findings can help educators and policymakers to promote responsible AI use while mitigating its misuse.
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页数:14
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