Application of learning analytics and educational data mining in an institution of superior education in Colombia
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Abstract
Nowadays, data is a key element for the continuous improvement of an organization’s decision-taking, achieved through the application of awareness and knowledge processes by undergoing a pre-processing, transformation and analysis over the data. The academic field is aware of this kind of application and
is a trend for the exploitation of data generated by the students, its management and academics dependencies on a daily basis in order to continuously improve the processes.
Current methodologies propose two different guidelines: Learning Analytics (LA), primarily focused on descriptive processes, and Educational Data Mining (EDM) for predictive processes, directing activities adjusted to this environment for obtaining satisfactory results. It is for this reason that this article presents
an application of these two guidelines in a higher education institution, focusing them on sensitive data of the students that will support the high direction decision-taking in these institutions.
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References
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