挑战曲线:聊天GPT生成的MCQ可以减少药房教育中的年级通货膨胀吗?
1Department of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
Frontiers in pharmacology
|February 13, 2025
概括
人工智能生成的多选题 (MCQ) 提高了药学教育的考试可靠性和严格性,导致学生得分降低,但差异化更好. 这表明,人工智能可以提高评估完整性,并打击年级通货膨胀.
科学领域:
- 教育技术的教育技术
- 药房 教育 教育 药房 教育
- 教育中的人工智能
背景情况:
- 成绩通货膨胀挑战了高等教育的学术标准,特别是在药学领域.
- 在药房教育中,对学生能力的准确评估至关重要.
- 人工智能在教育评估中的整合是一个新兴的研究领域.
研究的目的:
- 调查人工智能产生的多选择题 (MCQ) 对考试难度和可靠性的影响.
- 在药房管理课程中,将人工智能生成的MCQ与人类生成的MCQ进行比较.
- 评估AI在缓解年级通货膨胀和提高评估完整性的潜力.
主要方法:
- 一个准实验设计比较了两个中期考试:一个与ChatGPT生成的MCQ (2024) 和一个与人类生成的MCQ (2023).
- 两次考试都涵盖了沙特大学药房管理课程中相同的主题.
- 使用统计测试分析了考试可靠性 (Kuder-Richardson公式20),难度和歧视指数.
主要成果:
- 人工智能生成的MCQ考试 (2024) 比人类生成的MCQ考试 (2023,KR-20 = 0.78) 显示出更高的可靠性 (KR-20 = 0.83).
- 2024年的考试有更多的中度和困难问题,导致学生平均得分较低 (17.75比21.53,p<0.001).
- 在2024年的考试中,歧视指数显著改善 (0.35对0.25,p=0.007),表明学生差异化更好.
结论:
- 人工智能生成的MCQ可以提高考试严格性,并可能减少药学教育中的成绩膨胀.
- 仔细审查人工智能产生的评估内容对于准确性和与学习目标的一致性至关重要.
- 人工智能工具为提高学术评估的评估完整性和公平性提供了一个有希望的途径.
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