Исследование эмоционального состояния студентов на основе метода биологической обратной связи

IF 0.5 Q4 EDUCATION & EDUCATIONAL RESEARCH
M. Y. Ababkova, V. L. Leontieva
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引用次数: 0

Abstract

Introduction . Neurotechnologies based on the principles of a nervous system functioning are being introduced into modern educational process more and more actively. Neurotechnology-based devices give the chance to develop new educational products; to enlarge the content of education by means of transition from text, graphic and sound content filling of educational process to use of tactile, motor, emotional, and other content. One of the most perspective neurotechnologies for the field of education is the method of biofeedback (BF) which enables to define students’ mental state, change various physiological processes proceeding from the obtained data, correct educational process, and improve its quality and effectiveness. The aim of the present publication is to identify the opportunities of the biofeedback method application for educational purposes. Methodology and research methods . A pilot study on the basis of biofeedback technique was conducted in order to study the influence of active learning methods on students’ mental state mastering in specialty “Advertising and Public Relations”. H. Eysenck’s PEN Model was used to form focus-groups (control and experimental); psychophysiological technique CMS (Current Mental State) was applied for results processing. Also, such methods as comparative analysis, induction and generalization were used. Results . A true picture of psychological attributes of students’ mental condition has been received for efficient studying of the current psychological state on psychophysiological functions, and training active methods impact on a condition of mentality of students according to the results of cardiorhythmogram. The main results of a pilot research were quantitative data (as percentage points) of the current mental and psychological conditions of examinees. The obtained results have reflected the degree of attributes manifestation such as general adaptive resource, degree of mobility (lability) of mental processes, neuroticism, efficiency mentality, etc. (only 19 parameters). The degree of similarity or distinction of students’ mental state according to the available samples (standards) has been defined. It should, however, be noted that the adaptability of experimental group turned out to be higher; on the contrary, the indicators of affectivity, neuroticism, irritability, epileptoidness, and rigidity are likely to be lower. Scientific novelty . It is proved that application of active methods of training unlike traditional ones is more effective in terms of impact on health, adaptability and efficiency of mentality of students. Thanks to a positive emotional background, students easier solve creative and cogitative tasks, and acquire a difficult training material better. Practical significance . The materials of the pilot study can be useful for diagnostics of students’ emotional state during their coursework; elaboration of the educational process organization; studying the issues of students’ motivation while studying.
基于生物反馈方法的学生情绪状态研究
介绍基于神经系统功能原理的神经技术正越来越积极地引入现代教育过程。基于神经技术的设备为开发新的教育产品提供了机会;通过从文本、图形、声音等内容填充的教育过程过渡到运用触觉、运动、情感等内容来扩大教育内容。生物反馈(BF)方法是教育领域最有前景的神经技术之一,它能够定义学生的心理状态,从获得的数据中改变各种生理过程,纠正教育过程,并提高其质量和有效性。本出版物的目的是确定生物反馈方法应用于教育目的的机会。方法论和研究方法。以生物反馈技术为基础,对“广告与公共关系”专业学生主动学习方式对心理状态掌握的影响进行了初步研究。H.艾森克的PEN模型用于形成焦点组(对照组和实验组);结果处理采用心理生理学技术CMS(Current Mental State)。并采用了比较分析、归纳概括等方法。后果为了有效地研究当前的心理状态对心理生理功能的影响,以及根据心律图的结果训练积极方法对学生心理状态的影响,已经获得了学生心理状态心理属性的真实画面。试点研究的主要结果是考生当前心理和心理状况的定量数据(以百分比计)。所获得的结果反映了属性表现的程度,如一般适应性资源、心理过程的流动性(不稳定)程度、神经质、效率心态等(仅19个参数)。根据现有的样本(标准),已经定义了学生心理状态的相似程度或区别程度。然而,应该注意的是,实验组的适应性更高;相反,情感、神经质、易怒、癫痫样和僵硬的指标可能更低。科学新颖性。实践证明,与传统的主动训练方法不同,主动训练方法在影响学生的健康、适应性和心理效率方面更为有效。得益于积极的情感背景,学生们更容易解决创造性和思考性任务,并更好地获得困难的培训材料。实际意义。试点研究的材料有助于诊断学生在学习过程中的情绪状态;教育过程组织的细化;研究学生在学习中的动机问题。
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来源期刊
Obrazovanie i Nauka-Education and Science
Obrazovanie i Nauka-Education and Science EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
2.30
自引率
42.90%
发文量
56
审稿时长
8 weeks
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