Scientific justification of the predictive model of selection of schoolchildren in educational institutions for gifted children

A. G. Setko, O. Zhdanova, N. Setko
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Abstract

Introduction. Academic performance and the results of entrance tests are the key criteria for the competitive selection of students into educational institutions for gifted children, while the psychophysiological abilities of children and adolescents, determining the possibility of learning under conditions of high academic loads, are usually not taken into account. The purpose of the study is to scientifically substantiate a predictive model for the selection of students into educational institutions for gifted children. Materials and methods. For students of a lyceum for gifted children with high mental development (Group 1) and a general education institution with an average level of mental development (Group 2), an assessment was made of risk factors for the management and intensity of the educational work, and daily routine; functional state according to integral indicators: the index of tension of regulatory systems with the determination of biological adaptation, mental performance, as well as cognitive and non-cognitive functions using modern hardware and software complexes. Results. The students of the lyceum for gifted children in conditions of high intensity of educational work (class 3.1), in comparison with the data of students of a general education institution with optimal intensity of the educational process (class 1), were established to reveal the development of cognitive functions, as evidenced by an increase in the level of mental performance by 1.3 times, it productivity and speed by 1.2 times, thinking by 1.6–2.6 times, as well as a decrease in anxiety by 17.2%, stress by 24.5% compared to the data of students of the 2nd group, an increase in stress resistance by 25.0% and cognitive activity by 22.2%. At the same time, the formation of cognitive and non-cognitive functions in students from the 1st group was ensured by a decrease in the level of biological adaptation, confirmed by the formation of a breakdown in biological adaptation in every fourth student from the 1st group (26.4%) (according to data of 33.9% among students 2nd group). As a result of correlation analysis, reliable dependences of integral indicators of the functional state of students on factors of the management of the educational process and daily routine were determined. Correlation dependencies of cognitive and non-cognitive functions on the level of mental performance and tension in the regulatory systems of students have been established, which, based on logistic regression analysis, made it possible to develop a predictive mathematical model for the selection of students in educational institutions for gifted children, based on determining mental performance, the index of tension in regulatory systems, the level mental development, anxiety, cognitive activity, resistance to stress, and stress. Limitation. The study is limited to a sample formed within one educational institution for gifted children. Conclusion. Thus, the use of a prognostic model when selecting students for educational institutions for gifted children will not only identify students with a high level of mental development, but also assess their psychophysiological abilities, predict possible difficulties in the process of educational activities, identify strong and weak personality traits associated with academic performance.
天才儿童教育机构选拔学童预测模型的科学依据
导言。学业成绩和入学测试结果是通过竞争选拔学生进入天才儿童教育机构的主要标准,而儿童和青少年的心理生理能力决定了他们在高学业负担条件下学习的可能性,但通常不在考虑之列。本研究的目的是科学地论证选拔学生进入天才儿童教育机构的预测模型。材料和方法。对一所智力发展水平较高的天才儿童学校(第 1 组)和一所智力发展水平一般的普通教育机构(第 2 组)的学生进行了评估,评估内容包括:教育工作管理和强度的风险因素、日常生活;根据综合指标确定的功能状态:利用现代硬件和软件综合体确定生物适应性、智力表现以及认知和非认知功能的调节系统紧张指数。结果。在高强度教育工作条件下(3.1 级)的天才儿童学校的学生,与普通教育机构中具有最佳教育过程强度(1 级)的学生数据相比,认知功能得到了发展,表现为智力水平提高了 1.与第二组学生的数据相比,焦虑减少了 17.2%,压力减少了 24.5%,抗压力增加了 25.0%,认知活动增加了 22.2%。与此同时,生物适应水平的下降确保了第一组学生认知和非认知功能的形成,第一组每四名学生中就有一人(26.4%)(第二组学生的数据为 33.9%)的生物适应水平下降证实了这一点。通过相关分析,确定了学生机能状态综合指标与教育过程管理和日常生活因素之间的可靠依存关系。在逻辑回归分析的基础上,确定了认知和非认知功能与学生智力水平和调节系统紧张度的相关性,从而可以根据智力水平、调节系统紧张度指数、智力发展水平、焦虑、认知活动、抗压能力和压力等指标,建立预测性数学模型,用于选拔天才儿童教育机构的学生。局限性。本研究仅限于在一家资优儿童教育机构内进行抽样调查。结论。因此,在为资优儿童教育机构选拔学生时使用预测模型,不仅能识别智力发展水平高的学生,还能评估他们的心理生理能力,预测教育活动过程中可能出现的困难,识别与学习成绩相关的强弱个性特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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