RESUMO
The COVID-19 pandemic caused several changes in the teaching-learning process, as it abruptly replaced the conventional classes into online classes despite social distancing requirements. Such changes may be associated with several mental health problems and negatively affect the quality of life and academic performance of university students. We performed a cluster analysis in a large sample of Brazilian undergraduate students, considering sociodemographic data, physical activity frequency, study areas, Burnout Syndrome (BS), Quality of Life (QoL) and perception of online learning (OL) during COVID-19 pandemic. Seven hundred and three students (between 17 and 62 years, from 67 higher education institutions) participated in the study. We identified three different profiles of students regarding psychological aspects and OL perception. The first profile, called as the 'Low QoL' group was composed of younger students, mainly females, with higher frequency of psychological disorders (as evidenced by the self-report of depression and/or anxiety), in addition to higher Burnout scores, lower QoL and worse OL perception. The second profile called 'Intermediate QoL' comprised participants with an average age of 45 years, with a greater number of men, married, with kids and working in addition to studying. They presented better OL scores than the 'Low QoL' group. The third profile called 'Better QoL' comprised students with higher scores in all domains of QoL and better OL perception, with greater frequency of physical activity and lower BS scores. Students from Health courses showed higher scores for general QoL, and also for the psychological and environmental domains in relation to the other areas. Besides, students of the Exact Sciences courses showed higher scores on all OL perception items in comparison to the other courses. Our results provide insights regarding the mental health profile of undergraduate students, allowing educational managers to outline specific coping strategies to assist students during the pandemic.
Assuntos
COVID-19 , Educação a Distância , Esgotamento Psicológico/epidemiologia , COVID-19/epidemiologia , Análise por Conglomerados , Estudos Transversais , Exercício Físico , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias , Qualidade de Vida , SARS-CoV-2 , Estudantes , UniversidadesRESUMO
This article aims to demonstrate the utilities of Matlab (MATrix LABoratory) and eye-tracker for research in psychophysics and basic processes. We first introduce its origin, functioning, and advantages over other programs, and then we review different applications of Matlab in psychophysical tests involving eye-trackers. As an example, we present the development of a psychophysical test involving eye-tracker and Matlab, showing its ability to communicate and interact with other devices and programming languages. Finally, we emphasize the advantages and difficulties of working with Matlab.(AU).
Esse artigo teve como objetivo demonstrar a funcionalidade e capacidade do Matlab (MATrix LABoratory) e rastreamento de movimentos oculares (eye-tracker) para pesquisas em psicofísica e processos básicos. Para isso é apresentado primeiramente os fundamentos da criação e funcionamento do Matlab e suas vantagens sobre outros softwares. Em seguida são apresentadas diferentes aplicações do Matlab em testes psicofísicos com rastreadores de movimentos oculares (eyetracker). Também é apresentada a criação de um teste psicofísico em Matlab para umeyetracker e sua capacidade de se comunicar/interagir com outras linguagens. Por fim, são enfatizadas as vantagens e dificuldades de se trabalhar com esse tipo de ferramenta.(AU)
El objetivo principal de este trabajo fue exponer algunas de las aplicaciones que tiene el software Mat-lab (MATrix LABoratory) yEyetracker en las investigaciones con psicofísica y procesos básicos. Para alcanzar este objetivo, el artículo se organiza en cuatro secciones. La primera aborda los aspectos básicos de la creación y gestión del software. La segunda sección expone sus diferentes aplicaciones en las pruebas psicofísicas. La tercera parte muestra un ejemplo de cómo crear una prueba psicofísica con eye-tracker programado por Matlab. Por último, se destacan las ventajas y dificultades de trabajar con este software.(AU)
Assuntos
Psicofísica , Desenvolvimento Tecnológico , Movimentos OcularesRESUMO
In the present paper, we review some programming languages and computer software used to investigate basic psychological processes. In the first section, we address the principles and logical structure of the most common programming languages (e.g. C, C++, Java, Matlab, R, Python), and in the second section we present some of their applications to psychological research. Finally, we discuss the importance of computer programming as a tool in the field of psychology and its relationship with technological innovation.(AU).
No presente artigo foram revisadas algumas linguagens de programação esoftwares usados na investigação dos processos psicológicos básicos. Na primeira seção, foram abordados os princípios e a estrutura lógica das linguagens mais comuns de programação (e.g. C, C++, Java, Matlab, R e Python), e na segunda seção foram apresentadas algumas de suas aplicações na pesquisa psicológica. Ao final, são discutidas a importância da programação como uma ferramenta no campo da psicologia e sua relação com a inovação tecnológica. (AU).
En el presente artículo revisamos algunos de los lenguajes de programación y programas informáticos utilizados en la investigación de los procesos psicológicos básicos. En la primera sección, abordamos los principios y la estructura lógica de los lenguajes más comunes de programación (e.g., C, C++, Java, Matlab, R, y Python), y en la segunda sección, presentamos algunas de sus aplicaciones en la investigación psicológica. Al final, discutimos la importancia de la programación como una herramienta en el campo de la psicología y su relación con la innovación tecnológica.(AU).
