Academic performance and use of social networks in undergraduate engineering students at a peruvian university

Descripción del Articulo

The general objective of the research was to determine the relationship between academic performance and the use of social networks in undergraduate students of the Faculty of Engineering at Universidad Peruana Los Andes. The research was of an applied type, level and descriptive method, respectivel...

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Detalles Bibliográficos
Autores: Abregú Jaucha, Washington Neuman, Pachas Huaytán, Jorge Vladimir
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Nacional del Centro de Perú
Repositorio:Revistas - Universidad Nacional del Centro de Perú
Lenguaje:español
OAI Identifier:oai:ojs.revistas.uncp.edu.pe:article/1681
Enlace del recurso:https://revistas.uncp.edu.pe/index.php/horizontedelaciencia/article/view/1681
Nivel de acceso:acceso abierto
Materia:Rendimiento Académico
Redes Sociales
Academic Performance
Social Networks
Desempenho acadêmico
redes sociais
Descripción
Sumario:The general objective of the research was to determine the relationship between academic performance and the use of social networks in undergraduate students of the Faculty of Engineering at Universidad Peruana Los Andes. The research was of an applied type, level and descriptive method, respectively, and with a correlational descriptive design. The population was 1316 students from the Faculty of Engineering and 298 students were taken as an intentional sample made up of the five professional schools of the first cycles. The theory to understand social networks is from Adam Alter, on behavioral addictions. The instruments were the academic performance data record form (RDRA) and the frequency of use in social networks data record form (RDFURS). For data processing, descriptive and inferential statistics were used, where Pearson's "r" test and the chi-square test were used. As a result, 49,3% of students from the first to the fifth cycle have low academic performance; and of an intermediate use in social networks, with 57%. These results determined that X2=11,113; therefore, the statistical decision was made to accept the alternative hypothesis.
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