革命教育评估:Bing聊天GPT-4聊天机器人在提高评分开放式问题的效率方面的作用
Diane Abadam-Eremeev1, Rachel P Seng1, Janani Srinivasan1
1Research, American University of the Caribbean, Cupecoy, SXM.
Cureus
|February 2, 2026
概括
像Bing Chat这样的人工智能 (AI) 在评分开放式问题方面表现出有前景,比大学教师表现出更高的一致性. 这种人工智能工具可以通过提供可靠和有效的评估方法来支持教育工作者.
科学领域:
- 医学教育 医学教育
- 教育中的人工智能
- 评估和评价的评估和评估.
背景情况:
- 教育机构正在探索人工智能 (AI) 的整合,因为人工智能的快速发展.
- 人工智能模型在评分开放式问题的有效性仍然是一个需要进一步研究的领域.
- Bing聊天是一个AI程序,能够响应基于文本的查询.
研究的目的:
- 为了比较Bing Chat与大学教师对开放式问题的评分一致性.
- 评估AI作为教育评估中的辅助工具的潜力.
主要方法:
- 21名医学学生回答了5个与USMLE第一步相关的开放式问题.
- 学生的回答被六个Bing聊天帐户和六个教师评分.
- 计算了评审者之间的可靠性,并分析了分数差异.
主要成果:
- 聊和教师评分都显示出一致性,在教师评分中观察到的变化更大.
- 聊的评分与应用,解释和回忆问题的教师密切匹配.
- 在结合回忆和应用问题时,发现了显著的差异 (p=0.010).
- 比聊显示出比教师更高的互评级可靠性 (百分比协议,Gwet的AC1).
结论:
- 聊展示了作为开放式评估的可靠和支持性评分工具的潜力.
- 人工智能,特别是像Bing Chat这样的大型语言模型 (LLM),可以为教育提供可靠,高效和经济的评估解决方案.
- 人工智能工具可以通过简化评估过程,使学生和教育工作者都受益.
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