现代教育技术对学生认知能力形成的影响研究

A. Novikova
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摘要

介绍。本文研究了现代条件下学生认知能力的形成,这与识别认知能力结构的组成部分和识别决定发展的因素有关。本研究的目的是评估学生的认知能力水平,并揭示有效的教育技术有助于他们的形成。材料与方法。研究方法包括文献分析法、归纳比较分析法和等级相关法。样本包括来自托博尔斯克中学、职业学校和大学的93名年龄在15至24岁之间的学生。在研究的诊断部分,使用了E. E.图尼克、T. D.杜博维茨卡娅、A. V.卡尔波夫、A. V.帕什凯维奇和O. V.戈尔迪耶娃的心理社会测试和问卷。认知能力的结构采用社会心理量表、阿姆索尔的6个子测试、概念思维量表以及专家教师对学生学习和认知能力的评估来测量。采用数理统计方法对所得结果进行处理。结果。研究揭示了认知能力结构的关键组成部分:分析思维和概念思维;信息性、激励性和学习性认知能力;以及学生的个人素质(好奇心、独立判断、足智多谋、创造力、反思、自我控制、责任感)。作者确定了主要的教学干预措施,有助于提高学习兴趣,知识的同化和认知活动的独立性。它们包括沉浸式和创新的教育技术。此外,作者还证实了在教学过程中使用传统教育形式的有效性,这决定了与概念思维和分析思维相关的认知能力的基本组成部分的形成。学习动机指数低影响学生整体认知能力的形成水平。结论。在能力本位理论框架下,认知能力的形成是现代教育体系不同阶段学生关键能力发展的基础。为了评估学生的认知能力,建议挑选出其组成部分并确定测量工具。基于应用教育技术与学生认知能力结构成分的相关性研究,有必要找出最有效的形成认知能力的教育手段。
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Research on the influence of modern educational technology on the students’ cognitive competence formation
Introduction. This paper studies the formation of students’ cognitive ability in modern conditions, which is related to identifying the components within the structure of cognitive competence and identifying factors determining development. The purpose of this research is to assess the level of students’ cognitive competence and to reveal efficient educational technologies contributing to their formation. Materials and Methods. Research methods include literature analysis, generalization and comparative analysis, and the rank correlation method. The sample included 93 students aged between 15 and 24 years from Tobolsk secondary schools, vocational schools and universities. In the diagnostic part of the study, the psychosocial tests and questionnaires by E. E. Tunik, T. D. Dubovitskaya, A. V. Karpov, A. V. Pashkevich and O. V. Gordeeeva were used. The structure of cognitive competence were measured using socio-psychological scales: 6 subtests by R. Amthauer, conceptual thinking scales as well as through the expert teachers assessment of students’ learning and cognitive competencies. Mathematical statistical methods were used to process the results obtained. Results. The study reveals key components within the structure of cognitive competence: analytical and conceptual thinking; informational, motivational, and learning cognitive competencies; and students’ personal qualities (curiosity, independent judgment, resourcefulness, creativity, reflection, self-control, responsibility). The author identified leading teaching interventions that contribute to increasing interest in learning, the assimilation of knowledge and the independence of cognitive activities. They include immersive and innovative educational technologies. Moreover, the author substantiated the effectiveness of using traditional educational forms in teaching and learning process, which determine the formation of basic components of cognitive competence, associated with the conceptual and analytical thinking. Low academic motivation index affects the formation level of students’ overall cognitive ability. Conclusions. Within the framework of the competency-based approach, the formation of cognitive competence is the basis for the development of students’ key competencies within different stages of modern educational system. In order to evaluate students’ cognitive competence, it is advisable to single out its components and determine tools for their measurement. Based on the correlation study of applied educational technologies with the structural components of students’ cognitive competencies, it is necessary to single out the most efficient educational means of their formation.
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