文章基本信息

标题：The Use of Mathematical Statistics Methods in Modelling the Psychophysiological «Value» of Cognitive Activity of Students with Different Levels of Academic Success
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作者：Iryna Kalynychenko ; Hanna Zaikina ; Hanna Latina 等
期刊名称：TEM Journal
印刷版ISSN：2217-8309
电子版ISSN：2217-8333
出版年度：2021
卷号：10
期号：3
页码：1325-1335
DOI：10.18421/TEM103-41
语种：English
出版社：UIKTEN
摘要：Mathematical interpretation of the psychophysiological «value» of modern schoolchildren’ cognitive activity will allow to identify risk groups, especially among students with high and average academic achievement. The results allowed to establish dependence of the type of functions and properties, at the expense of which the «value» of the students’ activity was manifested, from the way of organizing the educational process. The article argues that regression models of psychophysiological «value» have different filling of variables depending on gender, intensity of information and physical loads. The variables that are most often included in psychophysiological «value» regression models, i.e., are the most important markers of change in the «price» of activity of students with high academic achievement, include thinking flexibility level, extraversion, anxiety level, speed of complex visualmotor reaction, as well as average length of cardiocycles during mental activity.