人工智能给我的评分让我感觉更公平吗? 不同的评价者如何影响大学生对公平的看法
Fangyuan Chai1, Jiajia Ma1, Yi Wang1
1Graduate School of Education, Beijing Foreign Studies University, Beijing, China.
Frontiers in psychology
|February 19, 2024
概括
由于信息透明度增加,大学生认为人工智能 (AI) 算法比教师更公平的评估者. 对评估结果的解释进一步缓和了这种看法,强调了教育技术透明度和清晰沟通的重要性.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 评估科学 评估科学
背景情况:
- 新技术提高了教育评估的客观性.
- 人工智能 (AI) 算法作为评估者的公平性存在担忧.
- 在人工智能驱动的评估中,评估学生对公平性的看法至关重要.
研究的目的:
- 评估大学生在教育评估场景中对公平性的看法.
- 调查不同评估者 (AI与教师) 对感知公平性的影响.
- 检查信息透明度的调解作用和解释清晰性的调节作用.
主要方法:
- 进行了三项实验性图片研究,分别有172名,149名和145名参与者.
- 在不同的教育环境中评估公平感知.
- 分析了信息透明度和结果解释的影响.
主要成果:
- 学生认为人工智能算法比教师更公平的评估者.
- 信息透明度调解了对公平的看法,由于更高的透明度,有利于AI.
- 对评估结果的解释缓和了评估人员对公平和公平感知的影响.
结论:
- 信息透明度和明确的解释比评估者类型更为关键.
- 突出了算法权等潜在风险,并主张在教育AI中考虑道德问题.
- 提供理论见解和实践指导,用于使用新技术进行更公平的教育评估.
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