基于认知诊断的数学能力的计算机自适应评估和学习系统的开发
Yi Zhang1, Liping Zhang2, Heyang Zhang3
1School of Education, Guangzhou University, Guangzhou 510006, China.
Journal of Intelligence
|September 26, 2025
概括
本研究介绍了基于认知诊断的计算机自适应学习系统 (CAL-CDS),以个性化教育. 它详细介绍了认知诊断评估和系统操作的框架,以增强数学学习.
科学领域:
- 教育技术的教育技术
- 认知科学 认知科学
- 教育中的人工智能
背景情况:
- 教育中的数字化转型推动了对个性化和适应性学习的需求.
- 现有的系统往往缺乏综合的认知诊断功能,以提供量身定制的指令.
- 该研究解决了对有效数字学习解决方案的日益增长的需求.
研究的目的:
- 开发一个认知诊断评估框架,与中国的数学课程保持一致.
- 研究基于认知诊断的计算机自适应学习系统 (CAL-CDS) 的操作机制.
- 通过数学认知诊断来促进个性化的学生学习.
主要方法:
- 构建一个基础的认知诊断评估框架.
- 整合认知建模,Q矩阵生成和诊断测试开发.
- 系统操作逻辑的剖析:通过实证案例研究支持的适应性测试,诊断和推系统.
主要成果:
- 一个系统的解决方案,用于开发数学特定的认知诊断驱动的自适应性学习系统.
- 展示如何构建适合特定教育背景的认知诊断评估框架.
- 验证系统的潜力,通过认知诊断来促进个性化的学生学习.
结论:
- 通过整合认知诊断,CAL-CDS提供了一种全面的个性化学习方法.
- 开发的框架和操作机制为类似的适应性学习系统提供了蓝图.
- 这项研究有助于通过智能诊断和适应性学习策略推进教育技术.
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