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Examination Data Analysis for Open Education Teaching Reform using Wilcoxon Rank Sum Test

机译:使用Wilcoxon等级测试的开放教育教学改革考试数据分析

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Currently, the worldwide open and distance education institutions are carrying out teaching reform measures continuously to ensure open education quality, while teaching reform courses examination data analysis results will be able to reflect open education teaching reform effectiveness objectively. So Wilcoxon Rank Sum Test based examination data analysis scheme is proposed in this paper to detect examination data change of open education teaching reform courses. Wilcoxon Rank Sum Test is an effective Hypothesis testing method, which can deduce significant change of collectivity average value according to sample data by proposing hypothesis. It doesn't need to know collectivity distribution, but only allows collectivity distribution has a shift at most. Changing situations of five indices data for seven teaching reform courses in China Open University system are detected effectively by proposed scheme. These analyzing results would be valuable for promoting open education teaching reform.
机译:目前,全球开放式教育机构正在持续开展教学改革措施,以确保公开教育质量,同时教学改革课程检查数据分析结果将能够客观地反映开放教育教学改革效果。因此,本文提出了基于Wilcoxon等级基于测试的检查数据分析方案,以检测开放教育教学改革课程的检测数据变化。 Wilcoxon Rank Sum Test是一种有效的假设检测方法,可以通过提出假设根据样品数据推测集体平均值的重大变化。它不需要知道集体分布,但只允许集体分布最多有偏移。通过提出的计划有效地检测到中国公开大学系统七种教学改革课程的五个指数数据的情况。这些分析结果对于促进开放教育教学改革将是有价值的。

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