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Satisfação dos estudantes brasileiros com a pós-graduação e emoções autodeclaradas nas redes sociais - Satisfaction of Brazilian students with postgraduation and self-declared emotions on social media
by
Romualdo Douglas Colauto
, Alison Martins Meurer
, Iago França Lopes
, Flaviano Costa
in
academic well-being
/ bem-estar acadêmico
/ emoções autodeclaradas
/ equações estruturais
/ experiências de pós-graduação
/ postgraduate experiences
/ postgraduate studies
/ pós-graduação
/ redes sociais
/ self-declared emotions
/ social media
/ structural equations
2023
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Satisfação dos estudantes brasileiros com a pós-graduação e emoções autodeclaradas nas redes sociais - Satisfaction of Brazilian students with postgraduation and self-declared emotions on social media
by
Romualdo Douglas Colauto
, Alison Martins Meurer
, Iago França Lopes
, Flaviano Costa
in
academic well-being
/ bem-estar acadêmico
/ emoções autodeclaradas
/ equações estruturais
/ experiências de pós-graduação
/ postgraduate experiences
/ postgraduate studies
/ pós-graduação
/ redes sociais
/ self-declared emotions
/ social media
/ structural equations
2023
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Satisfação dos estudantes brasileiros com a pós-graduação e emoções autodeclaradas nas redes sociais - Satisfaction of Brazilian students with postgraduation and self-declared emotions on social media
by
Romualdo Douglas Colauto
, Alison Martins Meurer
, Iago França Lopes
, Flaviano Costa
in
academic well-being
/ bem-estar acadêmico
/ emoções autodeclaradas
/ equações estruturais
/ experiências de pós-graduação
/ postgraduate experiences
/ postgraduate studies
/ pós-graduação
/ redes sociais
/ self-declared emotions
/ social media
/ structural equations
2023
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Satisfação dos estudantes brasileiros com a pós-graduação e emoções autodeclaradas nas redes sociais - Satisfaction of Brazilian students with postgraduation and self-declared emotions on social media
Journal Article
Satisfação dos estudantes brasileiros com a pós-graduação e emoções autodeclaradas nas redes sociais - Satisfaction of Brazilian students with postgraduation and self-declared emotions on social media
2023
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Overview
Introdução/objetivo: as redes sociais permitem a autodeclaração de emoções que dificilmente seriam observadas no ambiente físico. Nesse contexto, este estudo busca analisar a relação entre as experiências com a pós-graduação e as emoções autodeclaradas nas redes sociais. Complementarmente, busca identificar diferenças na percepção dos respondentes conforme as características pessoais. Metodologia: os dados obtidos junto aos discentes do stricto sensu totalizaram 1173 participações. A análise consistiu em testes de diferenças entre grupos e modelagem de equações estruturais. Resultados: os resultados revelam que as emoções positivas são influenciadas pela organização do curso, pelas relações interpessoais e pelo apoio ao desenvolvimento acadêmico, no modelo geral. Enquanto as emoções negativas são afetadas pela organização do curso e pelas relações interpessoais, no modelo geral, e pela estrutura institucional e pela organização do curso, para o modelo restrito à área de ciências sociais aplicadas. Conclusões: a pesquisa demonstra que as emoções que os estudantes brasileiros compartilham nas redes sociais são afetadas pelas vivências durante a pós-graduação e estão sujeitas a variações de acordo com as características únicas de cada aluno. Adicionalmente, o estudo sublinha a relevância de acompanhar de perto as emoções manifestadas pelos estudantes em ambientes virtuais, uma vez que esses dados podem oferecer insights preciosos para a administração dos programas de pós-graduação. Introduction/objective: Social networks allow the self-declaration of emotions that would hardly be observed in the physical environment. In this context, this study seeks to analyze the relationship between postgraduate experiences and self-declared emotions in social media. In addition, we seek to identify differences in the perception of respondents according to personal characteristics. Methodology: Data obtained from stricto sensu students totaled 1,173 participants. The analysis was performed with the help statistical techniques of differences between groups and structural equation modeling. Results: The results reveal that positive emotions are influenced by the course organization, interpersonal relations and support for academic development, in the general model. while negative emotions are affected by the course organization and interpersonal relations, in the general model, and the institutional structure and course organization, for the model restricted to the area of applied social sciences. Conclusions: The research demonstrates that the emotions that Brazilian students share on social networks are affected by their experiences during postgraduate studies and are subject to variations according to the unique characteristics of each student. Additionally, the study highlights the relevance of closely monitoring the emotions expressed by students in virtual environments, as this data can offer valuable insights for the administration of postgraduate programs.
Publisher
Konrad Lorenz Fundación Universitaria
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