Assessment of digital learning objects in Moodle
Abstract
This study presents the application of automated analysis processes to digital objects in online music learning, mediated through a telematic platform. Theoretically, the study is based on the application of the principles of e-learning, personalized education and implementation of automated processes for analysing educational data. Specifically, this study taps into the application of such techniques to initial test assessment, with a view to measuring levels of subject knowledge. The analysis of the information is undertaken from the data collected in a tool for making online courses, Moodle. From the analysis of these data a model, called k-means, emerges which classifies the different levels of musical knowledge. The model establishes three profiles regarding acquisition of music knowledge: high, medium and low.
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References
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