Variables predictoras del logro académico en estudiantes de psicología en educación a distancia

Academic achievement in psychology students in Distance Education

Autores/as

  • Mildred Alexandra Vianchá Pinzón Corporación Universitaria Minuto de Dios, Colombia
  • José Alirio Parra Guarnizo Corporación Universitaria Minuto de Dios, Colombia https://orcid.org/0000-0001-6117-1223

DOI:

https://doi.org/10.25115/ejrep.v21i59.6390

Palabras clave:

Educación a distancia, modelos de ecuaciones estructurales, rendimiento académico.

Resumen

Introducción. La discusión en torno al logro académico en el contexto de la educación a distancia ha planteado la necesidad de desarrollar estudios que permitan identificar las variables que mejor lo predicen. El objetivo de esta investigación fue analizar el ajuste de un modelo de ecuaciones estructurales que presupone que las variables sociodemográficas, los rasgos de personalidad, la motivación y los estilos de aprendizaje como predictores del logro académico.

Método. Participaron voluntariamente 354 estudiantes de psicología a distancia de una universidad privada de Bogotá D.C., quienes fueron reclutados a partir de un muestreo probabilístico estratificado. Se trató de un estudio explicativo no experimental aplicando la técnica de ecuaciones estructurales.

Resultados. Los hallazgos indican que características como ser hombre, de mayor edad, con estilo teórico y/o reflexivo favorecen el promedio académico, así como la apertura mental y el tesón, mientras que la motivación identificada y la amotivación, afectan negativamente el PA en los estudiantes.

Discusión y conclusiones. El modelo propuesto concuerda con los estudios en modalidad presencial al demostrar que tanto las variables sociodemográficas como las no cognitivas son relevantes para explicar el logro académico en modalidad a distancia.

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Biografía del autor/a

José Alirio Parra Guarnizo, Corporación Universitaria Minuto de Dios, Colombia

Psicólogo, profesor en las áreas de psicología cognitiva, procesos psicológicos básicos, medición y evaluación y metodología de la investigación. Con experiencia en uso de plataforma Moodle y CANVAS, dirección de trabajos de grado y procesos de formación en investigación desde semilleros. Con conocimientos en procesos de autoevaluación periódica, renovación de registro calificado de programas de pregrado y creación de programas nuevos a nivel de especialización en ciencias humanas.

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Publicado

2023-04-01

Número

Sección

INVESTIGACIÓN APLICADA, ACADÉMICA Y/O PROFESIONAL