使用人工智能在大学招生中评估个人素质
Benjamin Lira1, Margo Gardner2, Abigail Quirk1
1University of Pennsylvania, Philadelphia, PA, USA.
Science advances
|October 12, 2023
概括
人工智能 (AI) 可以在大学招生论文中评估个人素质,克服传统方法的局限性. 人工智能工具在预测大学毕业率方面显示了增量有效性,提供了一个具有成本效益的解决方案.
科学领域:
- 教育心理学教育心理学
- 人工智能的人工智能
- 高等教育招生 高等教育招生
背景情况:
- 个人品质,如领导力和亲社会目的,对于大学的成功至关重要.
- 在招生中对这些品质的整体评估是复杂的,资源密集的.
- 人工智能 (AI) 提供了有效评估的潜力,但面临着关于偏见和透明度的担忧.
研究的目的:
- 研究一种人工智能方法,用于在大学招生论文中评估个人素质.
- 为了确定人工智能能否准确地复制跨人口亚组的人类评估.
- 为了评估人工智能为大学毕业生生成的分数的预测有效性.
主要方法:
- 人类评分员 (研究助理,招生官) 在3131篇申请人论文中确定了7种个人品质.
- 预先训练的语言模型与人类评级进行了微调,以创建AI评估工具.
- 人工智能的表现在309,594名学生的全国样本上得到了验证.
主要成果:
- 精心调整的AI模型成功地复制了人类对人口亚组的个人品质的编码.
- 人工智能生成的分数在预测6年大学毕业率方面表现出增量有效性.
- 人工智能方法为整体审查提供了一个可扩展和潜在的公平方法.
结论:
- 人工智能可以有效地用于评估大学招生申请人的个人素质.
- 这种人工智能方法在提高整体审查的效率和有效性方面具有前景.
- 进一步的研究应该解决AI在高风险的教育评估中的挑战和机会.
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