Learning analytics and personalization of learning: a review
| Autor: | Nubia Andrea del Pilar Gonzalez, Andrés Chiappe |
|---|---|
| Jazyk: | English<br />Spanish; Castilian<br />Portuguese |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Ensaio, Vol 32, Iss 122, Pp 94-117 (2024) |
| Druh dokumentu: | article |
| ISSN: | 0104-4036 1809-4465 |
| DOI: | 10.1590/S0104-40362024003204234 |
| Popis: | Education in the 21 st 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. |
| Databáze: | Directory of Open Access Journals |
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