The evolving field of learning analytics research in higher education
Author(s) -
Megan Axelsen,
Petrea Redmond,
Eva Heinrich,
Michael Henderson
Publication year - 2020
Publication title -
australasian journal of educational technology
Language(s) - English
Resource type - Journals
eISSN - 1449-5554
pISSN - 1449-3098
DOI - 10.14742/ajet.6266
Subject(s) - learning analytics , analytics , computer science , educational technology , data science , software deployment , employability , software analytics , open learning , cultural analytics , educational research , knowledge management , mathematics education , psychology , teaching method , semantic analytics , pedagogy , world wide web , cooperative learning , the internet , software , software construction , software system , web modeling , programming language , operating system
Over the last decade the deployment and use of learning analytics has become routine in many universities around the world. The ability to analyse the way students interact with technology has demonstrated significant value for providing insights into student learning and there are now a wide range of uses for learning analytics in education. From use as a diagnostic tool, to a method for prediction, learning analytics in higher education has an emphasis on a wide range of outcome measures, including student retention, progression, attainment, performance, mastery, employability and engagement. In exploring how learning analytics can improve learning practice by transforming the ways we support learning processes, this editorial highlights some of the learning analytics research that has been published in AJET to date.
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