使用人工智能对实践实验室考试进行评分:为了节省时间而牺牲学生的学习经验?
Victor H Gonzalez1,2, Spencer Mattingly3,4, Jessica Wilhelm2
1Undergraduate Biology Program, College of Liberal Arts and Sciences, University of Kansas, Lawrence, Kansas, USA.
Anatomical sciences education
|December 1, 2023
概括
像Gradescope®这样的人工智能 (AI) 评分软件可以节省教师的时间,减少解剖课程中的偏见. 然而,它可能会削弱学生-教师关系和个性化的反.
科学领域:
- 医学教育 医学教育
- 解剖学教育 解剖学教育
- 教育技术的教育技术
背景情况:
- 学生越来越多地使用人工智能 (AI),但教师对其评分的应用仍然未得到充分探索.
- 基于人工智能的商业分级软件现在是可访问和普遍存在的,需要对其影响进行审查.
研究的目的:
- 讨论使用Gradescope®的好处,挑战和局限性,这是一款基于人工智能的商业软件,用于本科生粗体解剖学的实践考试.
- 评估AI评分对教师效率,感知偏见和学生-教师关系的影响.
主要方法:
- 对Gradescope®的实施进行定性分析,以对简短答案实践考试进行评分.
- 讨论在评分过程中观察到的好处和遇到的挑战.
主要成果:
- 格拉德斯科普®集成显著减少了分级时间,并最大限度地降低了被认为的教师偏见.
- 指出了个人关系的潜在侵蚀和学生和教师之间的个性化反.
结论:
- 人工智能分级工具可以提高效率,但需要仔细考虑它们对教学关系的影响.
- 未来的研究应该专注于将AI整合到分数中的最佳实践,以平衡效率与个性化的学生支持.
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