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Evaluating the effect of using synchronous machine simulations to support traditional teaching methodology in electrical engineering degree courses

机译:评估在电机工程学位课程中使用同步电机仿真来支持传统教学方法的效果

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Synchronous machine concepts are abstract and difficult to understand on the basis of the equivalent electrical circuits. Many studies highlight the difficulty of engineering degree students in understanding electrical circuits and propose different methodologies to address this issue. This study aims to show how the use of computer-assisted teaching improves general understanding of synchronous machines, in accordance with the following hypothesis: "complementing the traditional approach to teaching synchronous machines courses (based on theory lessons and practical laboratory sessions), with computer simulations, improves conceptual understanding and, consequently, course success rates." To test the effectiveness of the proposed teaching methodology, a controlled experiment was conducted. The students were divided into two groups, control and experimental, and their responses were compared. The former followed traditional teaching methodology, whereas the latter utilized the proposed complementary computer-assisted simulations. Both groups were evaluated according to the same test comprised of a list of comprehension questions. The results of the z test analysis show that z = 4.365 and p < .001, implying that the null hypothesis can be rejected and a significant contrast between the two groups can be recognized. The effect size, evaluated using Cohen's d, is d = 0.816, again indicating that the difference between the groups is significant. The posttest results reveal that the experimental group outperformed the control group in all three of the dimensions under analysis: theory, problems, and complete test.
机译:同步电机的概念是抽象的,在等效电路的基础上很难理解。许多研究强调了工科学位学生难以理解电路,并提出了解决该问题的不同方法。这项研究旨在根据以下假设,说明如何使用计算机辅助教学来提高对同步机的一般理解:“用计算机补充传统的同步机课程教学方法(基于理论课和实践实验室课程)模拟可以提高概念理解力,从而提高课程成功率。”为了测试所提出的教学方法的有效性,进行了对照实验。将学生分为对照组和实验组,并比较他们的反应。前者遵循传统的教学方法,而后者则采用建议的补充计算机辅助模拟。两组均根据包含理解问题清单的同一测试进行评估。 z检验分析的结果表明z = 4.365和p <.001,这意味着可以拒绝零假设,并且可以识别两组之间的显着对比。使用Cohen d评估的效应大小为d = 0.816,再次表明两组之间的差异是显着的。测试后的结果表明,在分析的所有三个维度上,实验组的性能均优于对照组:理论,问题和完整测试。

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