在使用人工智能语言模型时,学习者对数据隐私的看法:中国本科生反思日记分析
XiaoShu Xu1, Jia Liu2, Rong Zheng3
1School of Foreign Studies, Wenzhou University, Wenzhou City, Zhejiang province, China; Macau Global Education Research and Innovation Center, Macau, China.
Acta psychologica
|September 11, 2025
概括
中国的学生对教育中的人工智能数据隐私表示严重担忧,担心数据泄露和算法偏见. 加强数据治理和遵守儿童数据法律对于负责任的AI集成至关重要.
科学领域:
- 教育技术的教育技术
- 人工智能伦理学
- 数据 隐私 数据 隐私 数据
背景情况:
- 像ChatGPT这样的AI语言模型在教育中提供了机遇和道德挑战.
- 随着人工智能在学术环境中日益使用,数据隐私问题越来越严重.
研究的目的:
- 探索本科生对中国大学AI工具数据隐私的看法.
- 确定与人工智能数据处理和算法公平性相关的特定学生问题.
主要方法:
- 使用反射日记,有五个开放式提示数据收集.
- 进行学生反应的主题分析,以认知和双过程理论为基础.
主要成果:
- 学生们对潜在的数据泄露和通过大数据分析不道德地利用数据表示了重大担忧.
- 人工智能工具中的算法偏见被认为是对学术评估公平性和公平性的威胁.
- 学生们强调了教育机构需要强大的数据治理框架.
结论:
- 调查结果强调,迫切需要在学校制定可执行的数据治理政策.
- 建议包括遵守儿童数据法律,明确供应商角色和数据控制措施 (限制,最小化,保留).
- 为教育工作者和政策制定者提供了可操作的见解,以确保在教育中安全和公平地整合人工智能.
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