Abstract
The continuous increase in the number of open online courses has radically changed the traditional sectors of education during the last years. These new learning approaches are just impossible to being managed by using the traditional management methods. This is one of the main reasons to the failure of a big part of those courses. In this term article, we propose a big data modeling approach, considering information from a Big Data analysis perspective, finding out the most relevant indicators in order to guarantee the success of the course. This novel approach is driven along the paper using a case study of a course offered at our university. We describe the learning lesson in this work with the objective of providing general tools and indicator for courses overall. This will enable a better analysis and enhanced management of the courses in order to guarantee the success of them.
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Maté, A., de Gregorio, E., Cámara, J., Trujillo, J. (2014). Improving Massive Open Online Courses Analysis by Applying Modeling and Text Mining: A Case Study. In: Parsons, J., Chiu, D. (eds) Advances in Conceptual Modeling. ER 2013. Lecture Notes in Computer Science, vol 8697. Springer, Cham. https://doi.org/10.1007/978-3-319-14139-8_5
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DOI: https://doi.org/10.1007/978-3-319-14139-8_5
Publisher Name: Springer, Cham
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