platforms

21 December 2016

This article analyses the impact of the MOOC movement on the Twitter social network. To do so the lexical-semantic impact of 55,511 tweets by ten of the world’s leading platforms offering MOOC courses was analysed using a tf-idf calculation to represent documents in natural language processing.

The Twitter profiles, patterns of use, and geolocation of tweets by continent were also analysed using computational and statistical techniques. The results show that there is no correlation between use of Twitter accounts by MOOC platforms and their number of followers.

The tweets by participants are mainly grouped into two semantic blocks: alert/ excited and calm/relaxed and tweet traffic is often concentrated in the United States and Europe; South America’s percentage is moderate while Africa, Asia and Oceania have little impact. The most frequently occurring words in the tweets are: «learning», «skills», «course», «free» and «online».

 

 

Cite this article as: Vázquez-Cano, E., López Meneses, E., & Sevillano García, M. L. (2017).  La repercusión del movimiento MOOC en las redes sociales. Un estudio computacional y estadístico en Twitter | The impact of the MOOC movement on social networks. A computational and statistical study on Twitter. Revista Española de Pedagogía, 75 (266), 47-64. doi: https://doi.org/10.22550/REP75-1-2017-03

21 December 2016

After an initial stage of exponential growth in MOOCs, a need has arisen of to address several different aspects of the-se innovations in order to understand and develop them from different perspectives, such as this one, with the analysis of pedagogical dimensions aimed at improving course design. This paper presents an updated review of the literature and proposes five research lines for an in-depth approach. This study is part of a broader research project1 and here analyses 356 MOOCs delivered in Portuguese by 16 different platforms. The research design is quantitative, non-experimental and transversal.
An adaptation of the MOOC Educational and Interactive Indicators Instrument —INdiMOOC-EdI— was used in the data collection process. The reliability and internal consistency analysis of that adaptation for the whole sample resulted in a Cronbach alpha score of 0.731. The data obtained enable us to classify the existing MOOCs in Portuguese according to descriptive, formative, and interactive components. These different types correlate with the quality indices, being negative in the first dimension (descriptive) and positive in the second and third ones (formative and interactive).

 

 

Cite this article as: Lemos-de-Carvalho-Júnior, G., Raposo-Rivas, M., Cebrián-de-la-Serna, M., & Sarmiento-Campos, J. A. (2017). Análisis de la perspectiva pedagógica de los MOOC ofertados en lengua portuguesa | Analysis of the pedagogical perspective of the MOOCs available in Portuguese. Revista Española de Pedagogía, 75 (266), 101-119.  doi: https://doi.org/10.22550/REP75-1-2017-06