Abstract
This work conducts a quantitative analysis of a number of Learning Object Repositories (LORs) of Learning Objects (LOs) in both English and Portuguese languages. The focus of this exercise is to understand how the contributors organize their metadata, the update frequency, and measurement upon LOR items such as: (i) the size distribution; (ii) growth rate, and; (iii) statistics about metadata completion, blank fields and LO types. We conclude our analysis with a discussion about the implications of our findings upon tasks such as LO search and recommendation.
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da Costa Carvalho, A.L. et al. (2016). A Quantitative Analysis of Learning Objects and Their Metadata in Web Repositories. In: Koch, F., Koster, A., Primo, T. (eds) Social Computing in Digital Education. SOCIALEDU 2015. Communications in Computer and Information Science, vol 606. Springer, Cham. https://doi.org/10.1007/978-3-319-39672-9_5
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DOI: https://doi.org/10.1007/978-3-319-39672-9_5
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