Abstract
When teachers are surfing the Web to search suitable learning material for their courses it would be very important that web resources were characterized to restrict the scope of the search. Hence, it arises the need of finding characterizing properties for learning materials. This paper proposes an initial reflection on this issue. We exploit the huge potential of the MOOC, in particular Coursera, to discover new educational information that might characterize material of MOOCs. This goal is achieved by means of data mining techniques. Two types of features about resources have been discovered: teaching context and resource attributes. The resulting knowledge can be very helpful for a more accurate recommendation of resources to the particular teaching context of an instructor, as well as improving the creation and arrangement of learning activities.
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DAJEE can be accessed publicly for research purposes only, following the authors’ approval. Apply for it by filling in the form at http://144.6.235.142/dajee.
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De Medio, C. et al. (2017). Towards a Characterization of Educational Material: An Analysis of Coursera Resources. In: Wu, TT., Gennari, R., Huang, YM., Xie, H., Cao, Y. (eds) Emerging Technologies for Education. SETE 2016. Lecture Notes in Computer Science(), vol 10108. Springer, Cham. https://doi.org/10.1007/978-3-319-52836-6_58
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