International Students and Generative Artificial Intelligence: A Cross-Cultural Exploratory Analysis of Higher Education Academic Integrity Policy

被引:0
作者
Bannister, Peter [1 ]
Penalver, Elena Alcalde [2 ]
Urbieta, Alexandra Santamaria [1 ]
机构
[1] Univ Int Rioja, La Rioja, Spain
[2] Univ Alcala, Alcala De Henares, Spain
关键词
academic integrity; generative artificial intelligence; higher education; international students; policy analysis;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This study delves into the GenAI academic integrity policies within tertiary education, with a special focus on international students. Through qualitative analysis of 131 policies from 11 countries, it aims to highlight the overlooked needs of these students amidst the rise of GenAI technologies. The methodology involves a document review and SWOT analysis to assess policy inclusivity. Findings indicate a significant underrepresentation of international students in policy considerations, despite their notable economic impact. This novel research pioneers in its specific focus on international students in examining the intersection of GenAI and academic integrity, revealing a critical need for inclusive policy reform. Despite limitations such as potential selection bias, the study's contributions lie in its call for a more equitable approach to policy development, ensuring international student voices are heard. It concludes with an urgent recommendation for HEIs to integrate diverse student perspectives to uphold academic integrity in the digital era.
引用
收藏
页码:149 / 170
页数:22
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