一个层次化的贝叶斯教学模型的适应性教学
Alicia M Chen1, Andrew Palacci2, Natalia Vélez3
1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology.
Cognitive science
|July 9, 2024
概括
教师根据学生的知识和反来调整他们的教学. 当课程与他们的背景知识不一致时,学生可以战略性地提供反,改善协作学习过程.
科学领域:
- 认知科学 认知科学
- 教育心理学教育心理学
- 计算教学是指计算机教学.
背景情况:
- 了解教师如何衡量学生的理解,对于有效的教学至关重要.
- 学习者的反对于调整教育内容以满足个体需求和先前知识至关重要.
研究的目的:
- 通过使用计算模型,使教师和学习者之间的协作推理正式化.
- 调查教师如何利用学习者的背景知识和反.
- 检查学习者如何战略性地提供反.
主要方法:
- 开发了一种层次化的贝叶斯教学模式.
- 对312名成年参与者进行了两项在线行为实验.
- 分析了教师的示例选择和学习者的反模式.
主要成果:
- 教师选择了与学习者的背景知识相一致的例子.
- 教师根据学习者的反调整了示例.
- 当例子与他们的背景知识不一致时,学习者提供了更多的反.
结论:
- 该研究提供了一个计算框架,用于理解教师与学习者的互动.
- 调查结果强调了协作学习中信息交换的战略性质.
- 结果支持将教学的计算模型扩展到交互式环境中.
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