Shaping generative AI governance in higher education: Insights from student perception

Q1 Social Sciences
Okky Putra Barus , Achmad Nizar Hidayanto , Eko Yon Handri , Dana Indra Sensuse , Chairote Yaiprasert
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引用次数: 0

Abstract

This study explores student perspectives on generative AI governance in higher education to ensure responsible and ethical AI integration. Employing a mixed-methods approach with an explanatory sequential design, the study gathered data from 111 undergraduate students at Universitas Pelita Harapan through an online survey and semi-structured interviews with 53 students. The study covered key aspects of AI governance, such as ethics, curriculum integration, misuse detection, and academic sanctions, which are crucial for ensuring responsible AI implementation. The findings reveal that students are highly aware of the potential benefits of Generative AI and support its integration into the curriculum. However, they also emphasize the need for clear guidelines, ethics training, and plagiarism detection mechanisms to prevent misuse and uphold academic integrity. These findings provide valuable insights for higher education institutions to develop a comprehensive AI governance framework that balances the potential of Generative AI with the ethical considerations of its use.
在高等教育中塑造生成式人工智能治理:来自学生感知的见解
本研究探讨了学生对高等教育中生成式人工智能治理的看法,以确保负责任和道德的人工智能整合。该研究采用混合方法和解释顺序设计,通过在线调查和对53名学生的半结构化访谈,收集了111名大学本科生的数据。该研究涵盖了人工智能治理的关键方面,如道德、课程整合、滥用检测和学术制裁,这些对于确保负责任的人工智能实施至关重要。调查结果显示,学生们高度意识到生成式人工智能的潜在好处,并支持将其整合到课程中。然而,他们也强调需要明确的指导方针、道德培训和剽窃检测机制,以防止滥用和维护学术诚信。这些发现为高等教育机构开发一个全面的人工智能治理框架提供了有价值的见解,该框架可以平衡生成式人工智能的潜力及其使用的伦理考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.90
自引率
0.00%
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0
审稿时长
69 days
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