Since the turn of this century, a substantial body of research has been published on the neuroscience of creativity. Now, it is necessary to study the neurophysiological correlates in true-to-life, professionally specific situations. The aim of our empirical research was to study the neurophysiological correlates of musical improvisation, a spontaneous creative activity. The participants were 136 right-handed practicing musicians aged 19 to 36 (102 males and 34 females), divided into two groups-professionals (56 people) and amateurs (80 people). EEG signals were recorded in a resting state (eyes closed) and during three types of internal musical activity (perceiving, mentally reproducing, and mentally improvising) from 21 scalp electrodes according to the International 10-20 System. For statistical analysis, we used ANOVA and post hoc analysis. For the main neurophysiological correlates of musical creativity, we revealed higher values of EEG spectral power in the delta band and the dominance of long-distance functional cortical connections in the high-frequency bands. Variable neurophysiological correlates were differentiated according to emotions and the professional level of the musicians. The distinguishing EEG pattern in the professional musicians during improvisation was the predominant activation of the lefthemisphere cortical regions simultaneously with high interhemispheric integration in the high-frequency band along the "creativity axis. " The revealed neurophysiological correlates of musical creativity during improvisation included basic and variable components and were characterized by a specific frequency-spatial organization of bioelectric cortical activity in the musicians.
BackgroundDuring the COVID-19 pandemic, universities all over the world have had to reorganize their work for remote education to ensure continuity of learning. This situation has forced both teachers and students into an atypical, very specific situation, in which they need to cope with a number of psychological factors. Meanwhile, there is a research gap in academic knowledge of the social and psychological factors that determine attitudes toward forced remote learning.ObjectiveTo analyze the psychological traits of students in relation to their attitudes toward forced remote learning.MethodsThe study assessed self-regulation and communication skills, as well thinking and learning styles of 280 students in the situation of forced remote learning. We used the methods of surveying and psychological testing for data collection. The data were analyzed in R statistical software using the regression modeling methods.ResultsWe found that the number of students with positive (46%) and negative (54%) attitudes toward forced remote learning during the COVID-19 pandemic was approximately equal. Using regression analysis, we identified several statistically significant associations between the interpersonal communicative skills of students (self-regulation, shyness, alienation, manipulative and cooperative communication styles) and their thinking styles (right-hemispheric and integrated), on the one hand, and their attitude to remote learning, on the other. It was also illustrated that depending on the attitude to the forced remote learning, students differ by the percentage of assimilated learning materials while studying under the lockdown.ConclusionThe results identify that success of remote learning in many ways depends on the extent to which it accommodates psychological traits of students who are forced to acquire new knowledge without traditional classroom instruction.
Background: Bullying has been recognized as an important risk factor for personal development in adolescence. Although numerous studies report high prevalence of bullying in Russian schools, limited research was based on the large-scale, nationally representative analysis, which highlights the lack of findings applicable to the national context.Objective: This study aims to address the following research questions: (1) What is the bullying victimization prevalence in Russian secondary schools? (2) What is the socio-demographic profile of the bullying victims? (3) To what extent do learning outcomes in core subject domains predict bullying? (4) How does psychological climate at school affect the occurrence of bullying? (5) Which emotional states do bullying victims typically display? (6) Which psychosocial traits are the most common for bullying victims?Data and Methods: The study adopts the statistical analysis of the Programme for International Student Assessment (PISA) data in Russia. The final sample consists of 6,249 children aged 15 years who answered the bullying questions. K-means clustering approach was adopted to identify schoolchildren who should be classified as bullying victims amongst those who have reported bullying. Logistic regression was used to estimate the probability change of bullying under different psychosocial factors and examine the effect of bullying on the emotional states of the victims.Results: The results of the study reveal that 16% of children are victims of bullying in the Russian secondary school. Bullying is strongly associated with learning outcomes in reading, thus outlining that low performers are at risk of severe victimization. Bullying is also contingent on the psychological climate and tends to develop more frequently in a competitive environment. The findings outline that bullying increases negative feelings such as misery, sadness, and life dissatisfaction amongst its victims, making a substantial footprint on their lives. Logically, bullying victims are less likely to feel happy and joyful. Finally, it was revealed that bullying victims do not tend to share negative attitudes to the per se, which identifies directions for future research in this domain.Implications: Instead of dealing with the consequences of bullying, prevention strategies should aim at facilitating a positive environment at school, thus addressing the problem.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.