Learning analytics in higher education: a preponderance of analytics but very little learning?
Author
dc.contributor.author
Guzmán Valenzuela, Carolina
Author
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Gómez González, Carolina
Author
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Rojas-Murphy Tagle, Andrés
Author
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Lorca Vyhmeister, Alejandro
Admission date
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2021-11-16T15:12:08Z
Available date
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2021-11-16T15:12:08Z
Publication date
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2021
Cita de ítem
dc.identifier.citation
Int J Educ Technol High Educ (2021) 18:23
es_ES
Identifier
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10.1186/s41239-021-00258-x
Identifier
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https://repositorio.uchile.cl/handle/2250/182731
Abstract
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In a context where learning mediated by technology has gained prominence in higher education, learning analytics has become a powerful tool to collect and analyse data with the aim of improving students' learning. However, learning analytics is part of a young community and its developments deserve further exploration. Some critical stances claim that learning analytics tends to underplay the complexity of teaching-learning processes. By means of both a bibliometric and a content analysis, this paper examines the publication patterns on learning analytics in higher education and their main challenges. 385 papers that were published in WoScc and SciELO indexes between 2013 and 2019 were identified and analysed. Learning analytics is a vibrant and fast-developing community. However, it continues to face multiple and complex challenges, especially regarding students' learning and their implications. The paper concludes by distinguishing between a practice-based and management-oriented community of learning analytics and an academic-oriented community. Within both communities, though, it seems that the focus is more on analytics than on learning.
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Patrocinador
dc.description.sponsorship
Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT)
CONICYT FONDECYT 1200633
1161413
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Lenguage
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en
es_ES
Publisher
dc.publisher
Springer
es_ES
Type of license
dc.rights
Attribution-NonCommercial-NoDerivs 3.0 United States