不同数学成就水平小学生的认知特征

IF 0.3 Q4 PSYCHOLOGY, MULTIDISCIPLINARY Sibirskiy Psikhologicheskiy Zhurnal-Siberian Journal of Psychology Pub Date : 2019-09-01 DOI:10.17223/17267080/73/10
T. Tikhomirova, E. Khusnutdinova, S. Malykh
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引用次数: 2

摘要

本文旨在探讨不同数学成绩水平小学生的认知功能特点。这项研究分析了基本的认知特征——处理速度、工作记忆、数字感,以及一般特征——非语言智力。采用计算机测试任务“选择反应时间”、“Corsi块”、“数感”测试基本认知特征;论文版的“标准进步矩阵”测试被用来测试非语言智力水平。这项研究涉及一所普通教育机构2-4年级的所有7.8至11.5岁的学生。所有参与者根据年度数学成绩分为三组:“表现优秀”、“表现良好”、“成绩满意”。方差分析结果显示,三组小学生(“优秀表现”、“良好表现”或“满意表现”)在工作记忆、数字感和非语言智力方面存在统计学显著差异。非语言智力的差异最大——该指标21%的差异是由学生属于“优秀表现”、“良好表现”或“满意表现”组来解释的。在数学成绩优秀、良好和令人满意的小学生中,处理速度没有差异。相关分析结果表明,在表现不同的组中,关系结构发生了变化——在表现令人满意的组中;连接数比优秀性能组中的连接数更多。此外,与表现优异的学童组相比,表现令人满意的学童组的相关系数更高。特别是,只有在数学成绩良好且令人满意的年轻学生群体中,工作记忆和非语言智力才具有统计学上的相关性,并且交流系数随着成绩的恶化而增加。这些学童有可能通过吸引额外的认知和非认知资源来解决学习问题。在解决不同复杂程度的问题时,根据资源生产率理论对所获得的结果进行了解释。
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Cognitive Characteristics in Primary School Children with Different Levels of Mathematical Achievement
The aim of the article is to investigate the characteristics of the cognitive functioning of primary school children with different levels of mathematics achievement. The study ana-lyzed both basic cognitive characteristics – processing speed, working memory, number sense, and general characteristics – nonverbal intelligence. Computerized test tasks “Choice Reaction Time”, “Corsi Block”, “Number Sense” were used to test basic cognitive characteristics; the paper version of the “Standard Progressive Matrices” test was used to test the level of nonverbal intelligence. The study involved all students in grades 2–4 of a general educational institution aged 7.8 to 11.5 years. All participants were divided into three groups according to the annual math grade: “Excellent performance”, “Good performance”, “Satisfactory performance”. The results of variance analysis revealed statistically significant differences between the three groups of primary school children (“Excellent performance”, “Good performance” or “Satisfactory performance”) in working memory, Number sense and nonverbal intelligence. The greatest differences were observed for nonverbal intelligence – 21% of the variance of this indicator is explained by the student's belonging to the group “Excellent performance”, “Good performance” or “Satisfactory performance”. The processing speed does not differ in primary school children with excellent, good and satisfactory performance in mathematics. The results of the correlation analysis showed that the structure of relationships changes in groups with different performance – in the group with satisfactory performance; there are a greater number of connections than in the excellent performance group. In addition, higher correlation coefficients are observed in the group of schoolchildren with satisfactory performance compared with the group of schoolchildren with excellent performance. In particular, working memory and nonverbal intelligence are statistically interrelated only in groups of younger students with good and satisfactory math performance, and the coefficient of com-munication increases with the deterioration of performance. It is possible that these schoolchildren solve learning problems by attracting additional cognitive and non-cognitive resources. The results obtained are interpreted in terms of the resource productivity theory in solving problems of different levels of complexity.
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50.00%
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