对适应性测试及其在医学教育中的应用进行了叙事性审查
Steven A Burr1, Thomas Gale1, Jolanta Kisielewska1
1University of Plymouth, Plymouth, England, UK.
通过使用基于计算机的方法进行自适应测试,通过调整项目难度或内容来提供个性化的评估. 这种方法提高了评估的准确性,并支持有针对性的学习,改善教育成果.
科学领域:
- 教育技术的教育技术
- 评估科学 评估科学
背景情况:
- 适应性测试虽然具有历史意义,但与基于计算机的进步越来越相关.
- 自动化软件现在可以进行自适应的总结评估,根据难度或内容进行调整.
- 这两种适应性测试类型都需要大量的,质量可靠的项目库.
研究的目的:
- 审查适应性测试的教育逻辑和演变.
- 探索适应性测试方法的优点和局限性.
- 检查软件如何促进个性化评估和改进考试方法.
主要方法:
- 复习适应性测试的历史发展和教育原则.
- 根据难度对自适应性测试的分析与根据内容对自适应性测试的分析.
- 探索软件在自动化和个性化评估中的作用.
主要成果:
- 根据难度进行适应性测试可以提高绩效评估,但可能会降低透明度.
- 根据内容进行自适应测试可以提供有针对性的支持和结果保证,但可能会限制发现学习.
- 这两种方法都解决了标准化测试中的潜在不公平问题,通过根据个人的能力和学习需求量身定制项目呈现.
结论:
- 适应性测试,特别是软件驱动的测试,提供了个性化的评估方法.
- 这种方法可以完善课程,提高学习者参与度,改善教育策略.
- 通过个性化评估技术,考试方法的持续改进得到了促进.
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