在工程教育背景下应用名录学的创新方法
Trevor Blight1, Pedro Martínez-Pagán2, Leif Roschier3
1Electrical Engineering, University of Adelaide, Adelaide, Australia.
PloS one
|February 6, 2025
概括
图形计算方法Nomography正在通过Nomogen等开源软件重新振兴. 这种工具可以轻松创建精确的nomograms,促进对工程教育的重新兴趣.
科学领域:
- 数学 数学 是一个数学.
- 工程教育 工程教育教育
背景情况:
- 诺摩,一种图形计算方法,历史上帮助科学家和工程师.
- 它的使用随着数字计算而下降,但仍保留了教育潜力.
研究的目的:
- 介绍Nomogen,一个Python包,用于创建3变量名ograms.
- 评估学生对Nomogen产生的名ograms的兴趣和感知的有用性.
主要方法:
- 开发了Nomogen,这是一个Python包,用于自动生成名ogram.
- 与工程学生一起测试了Nomogen生成的诺姆图.
- 进行了一项利克特尺度调查,调查学生的感知.
主要成果:
- 诺莫根可以高效地生成可靠和可扩展的诺姆图.
- 学生们表现出新的兴趣,并发现名ograms有助于工程学习.
- 很高的比例的学生认为名ograms帮助解释复杂的现象.
结论:
- 像Nomogen这样的开源软件可以克服过去的名字学缺点.
- 在这种工具的帮助下,名学应该被整合到工程课程中.
- 这种方法增强了对工程教育中复杂变量的理解.
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