Autores
Carlos Alario‐Hoyos, Pedro J Muñoz‐Merino, Mar Pérez‐Sanagustín, Carlos Delgado Kloos, Hugo A Parada G
Fecha de publicación
2016/6
Revista
Journal of Computer Assisted Learning
Volumen
32
Número
3
Páginas
232-243
Descripción
The role of social tools in massive open online courses (MOOCs) is essential as they connect participants. Of all the participants in an MOOC, top contributors are the ones who more actively contribute via social tools. This article analyses and reports empirical data from five different social tools pertaining to an actual MOOC to characterize top contributors and provide some insights aimed at facilitating their early detection. The results of this analysis show that top contributors have better final scores than the rest. In addition, there is a moderate positive correlation between participants' overall performance (measured in terms of final scores) and the number of posts submitted to the five social tools. This article also studies the effect of participants' gender and scores as factors that can be used for the early detection of top contributors. The analysis shows that gender is not a good predictor and that taking the scores of …
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