Collaborative Research: Implementation and Evaluation of a Sustainable Computer-Based Tutoring System for Introductory Linear Circuit Analysis
合作研究:基于可持续计算机的线性电路分析入门辅导系统的实施和评估
基本信息
- 批准号:1323397
- 负责人:
- 金额:$ 7.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-09-15 至 2017-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
PARTICIPATING INSTITUTIONS: Arizona State University (ASU - Lead)University of Virginia (UVA)University of Notre Dame (ND)University of the Pacific (UOP)Colorado State University (CSU)PROJECT DESCRIPTION This project is developing and evaluating a computer-aided tutoring system to support the teaching of elementary linear circuit analysis. It is expanding a prototype system to cover topics in a traditional two-semester linear circuits course. The system can generate circuit problems with random topologies and element values for DC, steady-state AC, and transient circuits; allowing students to study concepts related to Fourier analysis, Laplace transforms, Bode plots, and three-phase circuits. Problem solutions are produced using a variety of special pedagogical features, including exercises designed to correct common student misconceptions. The system accepts a rich variety of inputs such as equations, re-drawn circuit diagrams, waveform sketches, matrix equations, as well as conventional numerical and multiple-choice answers. The web-based system is being employed and evaluated in a variety of ways in linear circuit classes at ASU, UVA, ND, and UOP. Dr. Daniel Robinson (at CSU) is conducting rigorous evaluation and analysis of the resulting qualitative and quantitative student learning data collected at these institutions. Through testing the software system in a variety of public and private schools, the team is demonstrating that the system can provide rapid feedback to instructors and enhance student learning - in areas that students have the most difficulty.BROADER SIGNIFICANCE The project is directly impacting more than 4300 students and having a significant effect on engineering education, since many engineering students in various disciplines take circuits courses. It is also expected that the system will be highly suitable for incorporation into massive open on-line courses (MOOCs) addressing this subject area. Student engagement is being increased through the use of interactive exercises that provide rapid feedback to students at each step of a problem. The team is also developing a tutorial authoring interface and execution engine that allows tutorial writers (e.g., instructors) to design more effective tutoring sequences by using the features of the circuit generation and solution modules. The approach is adaptable to other subject areas in electrical engineering, as well as other engineering disciplines. Some of the simpler tutorials and modules on basic circuit properties are being made available to high school students and the general public via a website designed for that purpose.
参与机构:亚利桑那州立大学(ASU - Lead)弗吉尼亚大学(UVA)圣母大学(ND)太平洋大学(UOP)科罗拉多州立大学(CSU)项目描述本项目正在开发和评估计算机辅助辅导系统,以支持初级线性电路分析的教学。它正在扩展一个原型系统,以涵盖传统的两个学期线性电路课程中的主题。该系统可以生成具有随机拓扑和元件值的电路问题,适用于直流、稳态交流和瞬态电路;让学生学习傅立叶分析、拉普拉斯变换、波德图和三相电路的相关概念。问题的解决方案采用了各种特殊的教学特点,包括练习,旨在纠正常见的学生误解。该系统接受各种各样的输入,如方程、重新绘制的电路图、波形草图、矩阵方程,以及传统的数值和多项选择答案。在亚利桑那州立大学、弗吉尼亚大学、ND和UOP的线性电路课程中,以各种方式使用和评估了基于网络的系统。丹尼尔·罗宾逊博士(科罗拉多州立大学)正在对这些机构收集的定性和定量学生学习数据进行严格的评估和分析。通过在多所公立和私立学校测试该软件系统,该团队证明该系统可以为教师提供快速反馈,并在学生最困难的领域提高学生的学习水平。该项目直接影响了4300多名学生,并对工程教育产生了重大影响,因为许多不同学科的工程专业学生都选修了电路课程。预计该系统将非常适合纳入解决该主题领域的大规模开放在线课程(MOOCs)。通过使用互动式练习,学生的参与度得到提高,互动式练习可以在问题的每一步向学生提供快速反馈。该团队还在开发一个教程编写界面和执行引擎,允许教程编写者(例如,教师)通过使用电路生成和解决方案模块的特性来设计更有效的辅导序列。该方法适用于电气工程的其他学科领域,以及其他工程学科。一些关于基本电路特性的简单教程和模块正在通过一个为此目的而设计的网站向高中生和公众提供。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Yih-Fang Huang其他文献
A recursive estimation algorithm using selective updating for spectral analysis and adaptive signal processing
- DOI:
10.1109/tassp.1986.1164931 - 发表时间:
1986-10 - 期刊:
- 影响因子:0
- 作者:
Yih-Fang Huang - 通讯作者:
Yih-Fang Huang
Statistical Signal Processing
- DOI:
10.1016/b978-012170960-0/50066-9 - 发表时间:
2005 - 期刊:
- 影响因子:2.5
- 作者:
Yih-Fang Huang - 通讯作者:
Yih-Fang Huang
INTRODUCTION TO SIGNAL PROCESSING
- DOI:
10.1016/b978-012170960-0/50060-8 - 发表时间:
2005 - 期刊:
- 影响因子:0
- 作者:
Yih-Fang Huang - 通讯作者:
Yih-Fang Huang
Optimal Set-Membership Filtering Using an Adaptive Minimax Algorithm with Automatic Bound Tuning
- DOI:
10.1016/s1474-6670(17)39865-8 - 发表时间:
2000-06-01 - 期刊:
- 影响因子:
- 作者:
Sridhar Gollamudi;Shirish Nagaraj;Yih-Fang Huang - 通讯作者:
Yih-Fang Huang
Yih-Fang Huang的其他文献
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{{ truncateString('Yih-Fang Huang', 18)}}的其他基金
Graduate Student Travel Support for APSIPA ASC 2018. To Be Held in Honolulu, Hawaii Convention Center, November 12-15, 2018.
APSIPA ASC 2018 研究生旅行支持。将于 2018 年 11 月 12 日至 15 日在夏威夷檀香山会议中心举行。
- 批准号:
1840824 - 财政年份:2018
- 资助金额:
$ 7.5万 - 项目类别:
Standard Grant
Set-Membership Adaptive Filtering for High Performance Communication Systems
高性能通信系统的集合成员自适应过滤
- 批准号:
9705173 - 财政年份:1997
- 资助金额:
$ 7.5万 - 项目类别:
Standard Grant
An Information-Intelligent Recursive Estimation for AdaptiveSignal Processing Networks
自适应信号处理网络的信息智能递归估计
- 批准号:
8711174 - 财政年份:1987
- 资助金额:
$ 7.5万 - 项目类别:
Continuing Grant
Research Initiation: A Time-Sharing Estimation, Algorithm for Adaptive Signal Processing Using a Convex Set- Theoretic Approach
研究启动:使用凸集理论方法的分时估计、自适应信号处理算法
- 批准号:
8505218 - 财政年份:1985
- 资助金额:
$ 7.5万 - 项目类别:
Standard Grant
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- 批准号:10774081
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- 资助金额:45.0 万元
- 项目类别:面上项目
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