适应性学习系统数学认知模型的理论框架
Siyu Sun1, Xiaopeng Wu2, Tianshu Xu3
1College of Elementary Education, Capital Normal University, Beijing 100048, China.
Behavioral sciences (Basel, Switzerland)
|May 26, 2023
概括
这项研究使用专家数据和解释性结构建模开发了一种五级数学认知模型. 这种适应性学习框架有助于诊断学生的认知发展和学习路径.
科学领域:
- 认知科学 认知科学
- 教育技术的教育技术
- 数学教育教育 数学教育
背景情况:
- 适应性学习系统需要对学生的认知有深入的了解.
- 认知模型对于评估学习和开发适应性系统至关重要.
- 2015年TIMSS评估框架概述了16个关键认知属性.
研究的目的:
- 构建一个详细的数学认知模型.
- 建立适应性学习系统的理论框架.
- 帮助诊断学生的认知发展和学习路径.
主要方法:
- 调查了52名专家 (教师,教育专家,研究生).
- 在属性问卷上使用解释性结构建模 (ISM).
- 通过专家采访和口头报告修改了模型.
主要成果:
- 开发了一个五级数学认知模型.
- 该模型的范围从基本的"记忆"到高级的"证明"认知属性.
- 认知属性之间的详细关系被确定.
结论:
- 认知模型为适应性学习提供了一个强大的框架.
- 它有助于诊断学生的学习和认知进展.
- 这项研究支持开发人工智能驱动的教育工具.
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