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上海中考数学测评和PISA数学测评成绩差异性研究——基于PISA2012年的测评结果

发布时间:2019-03-22 06:09
【摘要】:中考数学测评作为大规模数学测评,具有学业水平评定功能,这就要求测评框架,如内容和过程领域上的维度构建,合理分布试题等都应关注。随着PISA数学测评的引进,两者的相似性和差异性,对中考数学测评上述问题解决所起的借鉴是非常值得分析的。本文通过细致梳理两个测评的试题分布,考查两者之间存在的相似和差异。进一步通过量化分析得到PISA数学成绩对上海初三15岁群体的中考数学成绩差异的解释率仅有51%左右,同时两个测评在过程领域上的差异对中考数学成绩差异解释率明显高于内容领域上的差异。这进一步启示我们在上海初中数学测评中,过程维度上构建及不同维度的试题分布需要进一步重视和完善,同时关注内容领域和过程领域之间内在的联系,重视以问题解决为重心的测评导向。
[Abstract]:As a large-scale mathematical evaluation, the mathematics evaluation of middle school entrance examination has the function of academic level evaluation, which requires attention to the evaluation framework, such as the construction of dimensions in the content and process field, the rational distribution of test questions, and so on. With the introduction of PISA mathematics evaluation, the similarity and difference of the two methods, it is worth analyzing for reference to solve the above problems in mathematics evaluation of middle school entrance examination. This paper carefully combs the distribution of the two tests and examines the similarities and differences between them. Further, through quantitative analysis, it is found that the explanation rate of PISA math scores to the differences in mathematics scores of 15-year-old students in Shanghai junior high school is only 51% or so. At the same time, the differences between the two tests in the process field explain the difference rate of mathematics scores in the middle school entrance examination is obviously higher than the difference in the content field. This further enlightens us that the construction of process dimension and the distribution of test questions in different dimensions in Shanghai junior high school mathematics evaluation need to be further emphasized and perfected, and at the same time, we should pay attention to the inherent relationship between content field and process field. Attach importance to the problem-solving as the center of evaluation guidance.
【作者单位】: 上海市教育考试院;
【基金】:2015年国家社会科学基金项目“基于上海学业水平考试和PISA测评数据的综合素质评价的研究”(项目批准号:14BGL125)的研究成果
【分类号】:G633.6


本文编号:2445320

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