在匈牙利,在小学阶段结束时测量学生的计算机科学知识

G. Kiss
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引用次数: 11

摘要

本文分析了匈牙利八年级学生的计算机科学知识,以了解不同学校类型学生在信息技术方面的差异。在小学阶段结束时,学生的知识应该是平等的,而不是取决于学校类型,因为他们的学习材料是基于国家课程的:这是开始的假设。为什么这很重要?因为文法学校的老师必须了解入学学生的知识;他们都教些什么,他们是否要根据学生的知识水平对他们进行分组,不同的学校类型在知识水平上是否存在差异,如果有,是否需要专门的课程来消除差异?利用基于网络的信息学测试,对小学阶段不同学校类型学生的信息学技能进行了分析。一个基于匈牙利国家课程的在线测试,并分析了不同年级的学生如何有效地处理不同的科目。超过60名教师使用该测试来测量来自匈牙利各个城镇的1000多名学生的知识水平。这次只需要八年级的答案。在对试验结果进行评价后,得出了原假设的正确性。首先使用kolmogorov - smirnov检验来检验各组的结果是否符合标准正态分布。使用独立样本检验检验了学校类型正确答案的均值,计算的平方揭示了学校类型如何影响均值的差异。整个分析的显著性水平为5%。没有发现学校类型的显著差异表明原始假设是正确的。此外,在教材和国家课程之间发现了一些差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring student's computer science knowledge at the end of the primary stage in Hungary
Computer science knowledge in the 8th grade in Hungary was analysed, in order to see the differences in informatics skills of students from different school types. The student's knowledge should be level with each other at the end of primary stage, not depending on school type, because their learning material is based on the National Curriculum: this was the starting hypothesis. Why is this important? Because teachers at grammar schools have to know the knowledge of entering students; what have they to teach for all of them, do they have to group students according to their knowledge level, is there any difference in knowledge level by school types, if so, does it require a special course to smooth differences or not? An analysis of informatics skills by schooltypes in primary stages was made with the help of a web based Informatics Test. An on-line test based on the Hungarian National Curriculum was composed, and answers were analysed how effectively could students from different grades deal with different subjects. Over 60 teachers used the test to measure the knowledge level of more than 1000 students from various towns of Hungary. This time only those answers were needed which came from the 8th grade. After evaluating the test results the correctness of the original presumption emerged. First the Kolmogorov-Smirnov-test was used to see if the results of the various groups showed standard normal distribution or not. The means of the correct answers by school types were examined using an Independent samples tests and the calculated Eta-squared revealed how school types influenced the differences of means. Significance level was 5% throughout the analysis. Significant divergence by school types was not found showing the original hypothesis correct. Further, some differences were found between the taught material and that of the National Curriculum.
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