在线作业生成模块在信号与系统课程中的应用经验

Steve Warren, B.E.N. Tare, Andrew Bennett
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引用次数: 15

摘要

在线工程教育工具为学生提供了灵活访问本地/远程学习资源的机会,并通过使用动态界面提供了保持学生参与的机会。本文讨论了在电气工程信号与系统课程中创建和使用在线作业生成模块的经验教训。九个模块地址复数计算,复杂转换,信号绘图,零输入响应,单位脉冲响应,傅立叶级数,和快速傅立叶变换。其主要目标是创建一套创新的、引人入胜的在线学习体验,使教师能够评估从微积分和微分方程课程到后续电气工程课程的数学知识转移。这些模块提供学生特定的问题生成和自动评分,后者加速了反馈周期,并为大量学生提供了工具的可扩展性。这些工具很容易升级,并提供了通过数据库跟踪学生学习过程中通常未被记录的元素的机会,但这些元素产生了丰富的数据集,可以将当前、上一学期或后续学期的相关科目的表现相关联。到目前为止,这些模块已经使用了9个学期,来自这些经历的学生调查数据补充了数据库文件中存储的数据和笔试记录的数据。学生对这些工具的反应通常是积极的,其中答案输入的便利性在体验中起着很大的作用。模块分数、笔试成绩和以前的数学课程表现之间的定量相关性显示出不同的清晰度,但对技术促进环境的定性评估表明,学生的学习和参与度明显提高。教师的好处是显而易见的,节省了评分时间,评分一致性,对学生提交的作业负责的信心,以及关于学生何时/何地学习的信息,这是其他任何方式都难以获得的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lessons learned from the application of online homework generation modules in a signals and systems course
Online engineering education tools present students with flexible access to local/distance learning resources and offer an opportunity to maintain student engagement via the use of dynamic interfaces. This paper addresses lessons learned from the creation and use of online homework generation modules in an electrical engineering signals and systems course. The nine modules address complex number calculations, complex conversions, signal graphing, zero input response, unit impulse response, Fourier series, and fast Fourier transforms. The primary goal was to create an innovative and engaging set of online learning experiences that would allow faculty to assess the transfer of mathematical knowledge from calculus and differential equations courses to subsequent electrical engineering courses. These modules offer student specific problem generation and automatic grading, where the latter accelerates the feedback cycle and provides tool scalability to large numbers of students. The tools are easily upgradable and offer the opportunity to track, through a database, elements of the student learning process that often go unrecorded but yield a rich data set for correlating performance on related subjects in current, previous, or subsequent semesters. The modules have been employed nine semesters to date, and student survey data from these experiences supplement data stored in the database files and data recorded from written examinations. Student reactions to these tools have been generally positive, where the ease of answer entry plays a large role in the experience. Quantitative correlations between module scores, grades on written examinations, and performance in previous mathematics courses have demonstrated variable clarity, but qualitative assessments of the technology-facilitated environment point to a clear increase in student learning and engagement. Instructor benefits are apparent with regard to grading time saved, grading consistency, confidence in student accountability for work submitted, and information regarding when/where students work that is difficult to obtain any other way.
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