Utilizing learning analytics for study success in higher education: A systematic review


Ifenthaler, Dirk ; Yau, Jane Yin-Kim



URL: http://ascilite.org/wp-content/uploads/2018/12/ASC...
Additional URL: http://ascilite.org/wp-content/uploads/2018/12/ASC...
Document Type: Conference or workshop publication
Year of publication: 2018
Book title: ASCILITE 2018 Australasian Society for Computers in Learning in Tertiary Education : Deakin University, Geelong, Australia, 25-28 November 2018, Conference Proceedings
Page range: 406-411
Conference title: ASCILITE 2018
Location of the conference venue: Geelong, Australia
Date of the conference: 25-28.11.2018
Publisher: Campbell, Malcolm
Place of publication: Tugun, Australia
Publishing house: Australasian Society for Computers in Learning in Tertiary Education
Publication language: English
Institution: Business School > Wirtschaftspädagogik, Technologiebasiertes Instruktionsdesign (Ifenthaler 2015-)
Subject: 004 Computer science, internet
Abstract: This study examined the utilisation of learning analytics to support study success in higher education. The main research question was to identify whether there is a link between learning analytics and the respective intervention measures to increase study success at higher education institutions. The systematic review included empirical studies conducted during the past five years. Search terms identified 6,220 articles from various scientific sources. After duplicated articles were removed, there were 3,163 articles remaining. Each of the articles were screened and the inclusion criteria (e.g., peer-reviewed, rigorous research findings) limited the key studies to 41 articles. This paper presents an overview of the results of this systematic review. It is concluded that evidence can be found supporting the use of learning analytics to support study success in higher education. However, study success may not be exclusively the result of the use of learning analytics but also some additional means of technological or institutional support. The findings also suggest a wider adoption of learning analytics systems as well as work towards standardisation of learning analytics procedures which can be integrated into existing digital learning environments.







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