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Applications of Learning Analytics in High Schools: A Systematic Literature Review

Learning analytics aims to analyze data from students and learning environments to support learning at different levels. Although learning analytics is a recent field, it reached a high level of maturity, especially in its applications for higher education. However, little of the research in learnin...

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Autores principales: de Sousa, Erverson B. G., Alexandre, Bruno, Ferreira Mello, Rafael, Pontual Falcão, Taciana, Vesin, Boban, Gašević, Dragan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8503252/
https://www.ncbi.nlm.nih.gov/pubmed/34647016
http://dx.doi.org/10.3389/frai.2021.737891
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author de Sousa, Erverson B. G.
Alexandre, Bruno
Ferreira Mello, Rafael
Pontual Falcão, Taciana
Vesin, Boban
Gašević, Dragan
author_facet de Sousa, Erverson B. G.
Alexandre, Bruno
Ferreira Mello, Rafael
Pontual Falcão, Taciana
Vesin, Boban
Gašević, Dragan
author_sort de Sousa, Erverson B. G.
collection PubMed
description Learning analytics aims to analyze data from students and learning environments to support learning at different levels. Although learning analytics is a recent field, it reached a high level of maturity, especially in its applications for higher education. However, little of the research in learning analytics targets other educational levels, such as high school. This paper reports the results of a systematic literature review (SLR) focused on the adoption of learning analytics in high schools. More specifically, the SLR followed four steps: the search, selection of relevant studies, critical assessment, and the extraction of the relevant field, which included the main goals, approaches, techniques, and challenges of adopting learning analytics in high school. The results show that, in this context, learning analytics applications are focused on small-scale initiatives rather than institutional adoption. Based on the findings of this study, in combination with the literature, this paper proposes future directions of research and development in order to scale up learning analytics applications in high schools.
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spelling pubmed-85032522021-10-12 Applications of Learning Analytics in High Schools: A Systematic Literature Review de Sousa, Erverson B. G. Alexandre, Bruno Ferreira Mello, Rafael Pontual Falcão, Taciana Vesin, Boban Gašević, Dragan Front Artif Intell Artificial Intelligence Learning analytics aims to analyze data from students and learning environments to support learning at different levels. Although learning analytics is a recent field, it reached a high level of maturity, especially in its applications for higher education. However, little of the research in learning analytics targets other educational levels, such as high school. This paper reports the results of a systematic literature review (SLR) focused on the adoption of learning analytics in high schools. More specifically, the SLR followed four steps: the search, selection of relevant studies, critical assessment, and the extraction of the relevant field, which included the main goals, approaches, techniques, and challenges of adopting learning analytics in high school. The results show that, in this context, learning analytics applications are focused on small-scale initiatives rather than institutional adoption. Based on the findings of this study, in combination with the literature, this paper proposes future directions of research and development in order to scale up learning analytics applications in high schools. Frontiers Media S.A. 2021-09-27 /pmc/articles/PMC8503252/ /pubmed/34647016 http://dx.doi.org/10.3389/frai.2021.737891 Text en Copyright © 2021 Sousa, Alexandre, Ferreira Mello, Pontual Falcão, Vesin and Gašević. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Artificial Intelligence
de Sousa, Erverson B. G.
Alexandre, Bruno
Ferreira Mello, Rafael
Pontual Falcão, Taciana
Vesin, Boban
Gašević, Dragan
Applications of Learning Analytics in High Schools: A Systematic Literature Review
title Applications of Learning Analytics in High Schools: A Systematic Literature Review
title_full Applications of Learning Analytics in High Schools: A Systematic Literature Review
title_fullStr Applications of Learning Analytics in High Schools: A Systematic Literature Review
title_full_unstemmed Applications of Learning Analytics in High Schools: A Systematic Literature Review
title_short Applications of Learning Analytics in High Schools: A Systematic Literature Review
title_sort applications of learning analytics in high schools: a systematic literature review
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8503252/
https://www.ncbi.nlm.nih.gov/pubmed/34647016
http://dx.doi.org/10.3389/frai.2021.737891
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