Advancing Personalized Engineering Learning Via an Adaptive Concept Map

通过自适应概念图推进个性化工程学习

• 批准号: 1044790
• 负责人: Christopher Williams
• 金额: $ 19.88万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-01 至 2014-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1044790&HistoricalAwards=false
• 关键词: Advancing; Personalized; Engineering; Learning; Via

The goal of this project is to explore how an adaptive concept-mapping tool can ease students' cognitive overload and assist them with creating conceptual connections across a course. The adaptive map tool can assist students in visualizing large stores of information in a way that mimics the approaches of subject-matter experts and thus promotes learning. The adaptive map tool is being implemented and assessed in a Statics course, one of the core courses for several engineering disciplines. The research team is leveraging information in existing content repositories (such as textbooks) in order to minimize the effort needed for development of the adaptive map tool. The findings from this project are being disseminated through conferences and journals and through a dedicated website.

这个项目的目标是探索一个自适应的概念映射工具如何减轻学生的认知负荷，并帮助他们在整个课程中建立概念联系。 自适应地图工具可以帮助学生以模仿主题专家方法的方式可视化大量信息，从而促进学习。 自适应地图工具正在实施和评估的静态课程，为几个工程学科的核心课程之一。研究团队正在利用现有内容存储库（例如教科书）中的信息，以最大限度地减少开发自适应地图工具所需的工作量。 该项目的调查结果正在通过会议和期刊以及一个专门网站传播。