The role of self-esteem in the regulation of students’ mental states

自尊 心理学 预测(人工智能) 独立性(概率论) 发展心理学 社会心理学 数学 计算机科学 统计 人工智能
作者
M. Kartasheva,A. Klimanova,A. Prokhorov,A. Chernov,M. Yusupov
出处
期刊:European Psychiatry [Cambridge University Press]
卷期号:64 (S1): S726-S727 被引量:1
标识
DOI:10.1192/j.eurpsy.2021.1924
摘要

Introduction Studied the role of self-esteem in the regulation of mental states in the educational activities of students. Objectives The aim of the research is to reveal the interrelationships of states’ substructures (mental processes, experiences, behavior) with the level of self-esteem of students. Methods The study involved 69 students of the 1st and 2nd year, all humanities. The study was carried out in various situations of educational activity: at lectures, seminars, exams. Used the methods to study mental states, style of self-regulation and self-esteem. Results Found that as the level of self-esteem increases, the intensity of mental states’ substructures also increases, and vice versa. As a result of ANOVA use, found that the regulatory properties “independence” (p <0.001) and “ability to program actions” (p <0.002) exert the greatest influence on the interaction of mental states and self-esteem. In lectures, seminars students with a low level of self-esteem mostly experience states of low intensity. Students with an average level of self-esteem are characterized by positive states of an increased level of intensity: from cheerfulness and anticipation to interest and fun. Students with high self-esteem experience mental states different in modality, intensity. As the level of self-esteem increases, the intensity of mental states’ substructures manifestation increases, and vice versa. Conclusions Average self-esteem is most optimal for the regulation of mental states. In the case of high self-esteem, the most optimal states are experienced when the subject is highly independent. Low self-esteem students, experience the least intense states. This work was supported by the RFBR grant № 20-013-00076. Disclosure No significant relationships.
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