Kliziene Irina, Paskovske Asta, Cizauskas Ginas, Augustiniene Aldona, Simonaitiene Berita, Kubiliunas Ramunas
Educational Research Group, Institute of Social Science and Humanity, Kaunas University of Technology, 44249 Kaunas, Lithuania.
Study Programme "Information Technologies of Distance Education", Faculty of Informatics, Kaunas University of Technology, 44249 Kaunas, Lithuania.
Brain Sci. 2022 Jun 3;12(6):736. doi: 10.3390/brainsci12060736.
Cognitive skills predict academic performance, so schools that try to improve academic performance might also improve cognitive skills. The purpose of this study was to determine the effect of achievements in mathematics on cognitive ability in primary school.
Participants: 100 girls and 102 boys aged 9-10 years (the fourth grade) were selected from three schools. A (DTCA) was created by the authors of the article for the assessment of primary school students' cognitive abilities. The diagnostic cognitive ability test was based on Reuven Feuerstein's theory of dynamic cognitive modality assessment, the problem-solving model, and followed the mathematics curriculum for grade 4. The tasks of the test were distributed according to the cognitive function: systematic exploration, spatial orientation, sequencing, image recognition, recognizing and understanding relationships, collecting and processing information, algorithm development, data management (classification), and construction of combinations. they were collected systematically using short- and medium-term mathematics tests, and the levels of achaievement were defined of grade 4 primary school students to assess individual learner performance, anticipate their learning strengths and weaknesses, and shape their subsequent learning process.
With regard to the relationships between cognitive functions and achievement level, Spearman's correlation analysis revealed the relationships between the following cognitive functions: systematic exploration and spatial orientation (Spearman q = 0.276, = 0.022), systematic exploration and designing an algorithm development (Spearman q = 0.351, = 0.003), spatial orientation and data management (Spearman q = 0.274, = 0.023), sequencing and combination construction (Spearman q = 0.275, = 0.022), and sequencing and recognizing and understanding relationships (Spearman q = 0.243, = 0.044).
(1) The internal validity of the diagnostic test of cognitive abilities was supported by significant correlations between cognitive functions and mathematics achievement. This suggests that this methodology of the diagnostic cognitive ability test can be used to assess the cognitive abilities of primary school students. (2) The diagnostic test of cognitive abilities showed that the majority of primary school students reached higher levels of achievement in a systematic inquiry (systematic, non-impulsive, planned behavior when collecting data or checking information). A difference was observed in the ability of students to navigate in space and follow directions for primary school students at a satisfactory or higher level. Primary school students' performance in identifying the rule for the sequencing of elements, finding missing elements, and extending the sequences was at the basic and advanced levels. (3) The results of the study showed the reciprocal correlation between achievements in mathematics and cognitive function of primary school students. The two phases that caused difficulties for students were revealed: understanding the problem and carrying out the plan phase.
认知技能可预测学业成绩,因此试图提高学业成绩的学校也可能提升认知技能。本研究的目的是确定小学数学成绩对认知能力的影响。
参与者:从三所学校选取了100名9至10岁(四年级)的女生和102名男生。本文作者创建了一种诊断性认知能力测试(DTCA)来评估小学生的认知能力。诊断性认知能力测试基于鲁文·费厄斯坦的动态认知模态评估理论、问题解决模型,并遵循四年级数学课程。测试任务根据认知功能进行分配:系统探索、空间定向、排序、图像识别、识别和理解关系、收集和处理信息、算法开发、数据管理(分类)以及组合构建。通过短期和中期数学测试系统收集数据,并确定四年级小学生的成绩水平,以评估个体学习者的表现,预测他们的学习优势和劣势,并塑造他们后续的学习过程。
关于认知功能与成绩水平之间的关系,斯皮尔曼相关性分析揭示了以下认知功能之间的关系:系统探索与空间定向(斯皮尔曼q = 0.276,p = 0.022)、系统探索与算法开发设计(斯皮尔曼q = 0.351,p = 0.003)、空间定向与数据管理(斯皮尔曼q = 0.274,p = 0.023)、排序与组合构建(斯皮尔曼q = 0.275,p = 0.022)以及排序与识别和理解关系(斯皮尔曼q = 0.243,p = 0.044)。
(1)认知能力诊断测试的内部效度得到认知功能与数学成绩之间显著相关性的支持。这表明这种诊断性认知能力测试方法可用于评估小学生的认知能力。(2)认知能力诊断测试表明,大多数小学生在系统探究(收集数据或检查信息时的系统、非冲动、有计划的行为)方面达到了较高的成绩水平。在空间导航和遵循方向方面,成绩处于满意或更高水平的小学生的能力存在差异。小学生在识别元素排序规则、找出缺失元素和扩展序列方面的表现处于基础和进阶水平。(3)研究结果显示了小学生数学成绩与认知功能之间的相互相关性。揭示了给学生造成困难的两个阶段:理解问题和执行计划阶段。