Modelo de la aceptación de evaluaciones en línea de matemáticas: percepciones de los estudiantes de licenciaturas en ciencias sociales

Resumen

Aunque se han realizado estudios en la aceptación de las evaluaciones en línea, no se han explorado para la enseñanza de las matemáticas en estudiantes de licenciaturas en ciencias sociales. Este estudio analiza los efectos de un grupo de factores que afectan la actitud, la aceptación y la intención del uso de las evaluaciones de matemáticas en línea, en estudiantes de la modalidad a distancia de la escuela de Comercio y Administración del Instituto Politécnico Nacional en México. Para ello se utilizó un instrumento con 15 reactivos aplicado a 23 estudiantes. Comprender los factores tratados requirió del modelo para la aceptación de la tecnología (TAM, por sus siglas en inglés), el cual ha probado ser un modelo robusto para determinar la actitud e intención de uso de la tecnología en diversos contextos, incluyendo el educativo. El análisis se realizó mediante la técnica de ecuaciones estructurales, usando mínimos cuadrados parciales, propia para estudios exploratorios y muestras pequeñas. Los resultados sugieren que los factores facilidad de condiciones e influencia social  son los principales determinantes de una actitud y aceptación favorable para usar exámenes de matemáticas en línea, por lo se puede concluir que el proporcionar a los alumnos la infraestructura tecnológica y servicio técnico adecuado es importante, y que el mantener una comunicación continua y eficiente de autoridades y maestros puede influenciar favorablemente a la actitud de los estudiantes para usar la plataforma.

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Publicado
2018-02-21
Cómo citar
Acosta Gonzaga, E., Ramírez Arellano, A., Álvarez Cedillo, J. A., Rivera González, I., & Rivera González, G. (2018). Modelo de la aceptación de evaluaciones en línea de matemáticas: percepciones de los estudiantes de licenciaturas en ciencias sociales. RIDE Revista Iberoamericana Para La Investigación Y El Desarrollo Educativo, 8(16), 165 - 193. https://doi.org/10.23913/ride.v8i16.337
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