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Virtual and Physical Laboratories for Active Learning of Electronic Materials

Virtual and Physical Laboratories for Active Learning of Electronic Materials
用于电子材料主动学习的虚拟和物理实验室
批准号:
0088881
负责人:
Ali Shakouri
金额:
$7.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-03-01 至 2003-02-28

项目摘要

项目成果

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中文摘要
翻译
工程-电气(55)这个项目正在开发一个基于Web的主动学习工具包,其中包含用于本科电子材料课程工作的课程模块。目前,网络在工程和科学课堂上的应用是对传统教科书学习方法的有限延伸。相反,这个项目建立了一个开发虚拟实验室实验的框架,解决了学生的不同学习风格,并在不同的抽象水平上提供信息。这些虚拟实验与传统的动手实验室实验整合在一门电子材料课程中。教育挑战是帮助本科生直观地了解电子如何在晶体中运动,它们如何相互作用,以及它们如何受到外加电压、光和热的影响。与许多教育应用程序仅仅是教科书页面的动画不同,我们使用基于线性响应理论和玻尔兹曼传输方程的模拟。这使得学生可以探索许多电子传输现象的微观起源,而不需要理解高级研究生课程中通常涉及的复杂数学。这项技术展示了如何使用Web来弥合讲课和实验室之间的差距,接触到具有不同学习风格的学生,并促进课堂环境中的主动学习。
英文摘要
Engineering - Electrical (55)This project is developing a Web-based active learning toolkit with course modules for undergraduate electronic materials coursework. Current applications of the Web to engineering and science classes are fairly limited extensions of traditional textbook approaches to learning. In contrast, this project builds a framework for developing virtual laboratory experiments that address the different learning styles of students, and presents information at various levels of abstraction. These virtual experiments are integrated with traditional hands-on laboratory experiments in a course in electronic materials. The educational challenge is to help undergraduates develop intuitions about how electrons move inside a crystal, how they interact with each other, and how they are affected by applied voltage, light and heat. In contrast to many educational applets, which are merely animations of the pages of the textbook, we use simulations based on the linear response theory and Boltzmann transport equation. This allows students to explore the microscopic origin of many electron transport phenomena without understanding the sophisticated mathematics typically covered in an advanced graduate course. This technology demonstrates how the Web can be used to bridge the gap between lectures and laboratories, reach students with different learning styles, and facilitate active learning in a classroom context.
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    2134667
  • 项目类别:
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  • 资助金额:
    $300.0万
  • 财政年份:
    2021
  • 负责人:
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  • 依托单位:
Planning Grant: Engineering Research Center for Resilient AI Network (RAIN) for next-generation manufacturing
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  • 项目类别:
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  • 项目类别:
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  • 项目类别:
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  • 资助金额:
    $46.17万
  • 财政年份:
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  • 负责人:
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国内基金
海外基金
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  • 资助金额:
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  • 批准年份:
    2013
  • 负责人:
    王竹晓
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