Abstract
This study analyses predictive factors that affect digital competences in social network. A survey has been conducted among training teachers, showing the results the importance of attitudes towards technologies in every levels of digital competence. In addition, basic digital competences depend on the intensity of use of the networks. The motives for use variable predicts a moderate level of competence. On the other hand, gender is decisive to achieve an advance level. Results concur with previous studies, so conclusions are deduced for the design of training in the use of social network as a pedagogical and educational resource.
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CITATION STYLE
Buzón, V. M., Pérez, R. G., & Catalán, Á. R. (2019). Exploring factors predicting digital competence in social networking sites. Pixel-Bit, Revista de Medios y Educacion, 56, 51–69. https://doi.org/10.12795/pixelbit.2019.i56.03
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