Learning analytics in higher education: a preponderance of analytics but very little learning?

Autor: Andrés Felipe Rojas-Murphy Tagle, Carolina Guzmán-Valenzuela, Alejandro Lorca-Vyhmeister, Carolina Gómez-González
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Educational Technology in Higher Education, Vol 18, Iss 1, Pp 1-19 (2021)
International Journal of Educational Technology in Higher Education
ISSN: 2365-9440
Popis: 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. Supplementary Information The online version contains supplementary material available at 10.1186/s41239-021-00258-x.
Databáze: OpenAIRE