Learning analytics and personalization of learning: a review

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URI: http://hdl.handle.net/10818/62776Visitar enlace: https://www.scopus.com/inward/ ...
ISSN: 1044036
DOI: 10.1590/S0104-40362024003204234
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2024Abstract
Education in the 21st century is increasingly mediated by digital technologies in a context in which enormous amounts of information are daily generated. Regarding this and considering the imminent application of emerging trends such as “Internet of Things” (IoT), the study of its educational effects becomes a matter of great relevance for both educational researchers and practitioners. In this context, “Learning Analytics” takes on special importance as a perspective to approach the aforementioned issue, especially from a very relevant topic: the personalization of learning. In this sense, a systematic review of literature about learning analytics published in the last two decades was carried out to identify its potential as a factor in strengthening the personalization of learning. The results show a set of key factors that include aspects related to assessment, the use of dashboards, social learning networks, and intelligent tutoring, and the importance of monitoring, feedback, and support. © (2024), (SciELO-Scientific Electronic Library Online). All Rights Reserved.
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Ensaio Vol. 32 N° 122
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- Facultad de Educación [180]