Learning analytics in higher education: an analysis of case studies

Design/methodology/approach - This study collects and summarizes information on the use of learning analytics. It identifies how learning analytics has been used in the higher education sector, and the expected benefits for higher education institutions. Empirical research and case studies on learni...

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Main Author: Billy Tak Ming Wong
Format: Article
Language:English
Published: Emerald Publishing 2017-01-01
Series:AAOU Journal
Subjects:
Online Access:https://www.emerald.com/insight/content/doi/10.1108/AAOUJ-01-2017-0009/full/pdf?title=learning-analytics-in-higher-education-an-analysis-of-case-studies
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author Billy Tak Ming Wong
author_facet Billy Tak Ming Wong
author_sort Billy Tak Ming Wong
collection DOAJ
description Design/methodology/approach - This study collects and summarizes information on the use of learning analytics. It identifies how learning analytics has been used in the higher education sector, and the expected benefits for higher education institutions. Empirical research and case studies on learning analytics were collected, and the details of the studies were categorized, including their objectives, approaches, and major outcomes. Findings - The results show the benefits of learning analytics, which help institutions to utilize available data effectively in decision making. Learning analytics can facilitate evaluation of the effectiveness of pedagogies and instructional designs for improvement, and help to monitor closely students’ learning and persistence, predict students’ performance, detect undesirable learning behaviours and emotional states, and identify students at risk, for taking prompt follow-up action and providing proper assistance to students. It can also provide students with insightful data about their learning characteristics and patterns, which can make their learning experiences more personal and engaging, and promote their reflection and improvement. Originality/value - Despite being increasingly adopted in higher education, the existing literature on learning analytics has focussed mainly on conventional face-to-face institutions, and has yet to adequately address the context of open and distance education. The findings of this study enable educational organizations and academics, especially those in open and distance institutions, to keep abreast of this emerging field and have a foundation for further exploration of this area.
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spelling doaj.art-f98642efe03947c68d00202e080e54f12023-08-02T04:23:26ZengEmerald PublishingAAOU Journal1858-34312414-69942017-01-01121214010.1108/AAOUJ-01-2017-0009596970Learning analytics in higher education: an analysis of case studiesBilly Tak Ming Wong0>University Research Centre, The Open University of Hong Kong, Hong KongDesign/methodology/approach - This study collects and summarizes information on the use of learning analytics. It identifies how learning analytics has been used in the higher education sector, and the expected benefits for higher education institutions. Empirical research and case studies on learning analytics were collected, and the details of the studies were categorized, including their objectives, approaches, and major outcomes. Findings - The results show the benefits of learning analytics, which help institutions to utilize available data effectively in decision making. Learning analytics can facilitate evaluation of the effectiveness of pedagogies and instructional designs for improvement, and help to monitor closely students’ learning and persistence, predict students’ performance, detect undesirable learning behaviours and emotional states, and identify students at risk, for taking prompt follow-up action and providing proper assistance to students. It can also provide students with insightful data about their learning characteristics and patterns, which can make their learning experiences more personal and engaging, and promote their reflection and improvement. Originality/value - Despite being increasingly adopted in higher education, the existing literature on learning analytics has focussed mainly on conventional face-to-face institutions, and has yet to adequately address the context of open and distance education. The findings of this study enable educational organizations and academics, especially those in open and distance institutions, to keep abreast of this emerging field and have a foundation for further exploration of this area.https://www.emerald.com/insight/content/doi/10.1108/AAOUJ-01-2017-0009/full/pdf?title=learning-analytics-in-higher-education-an-analysis-of-case-studieshigher educationlearning analyticsodlopen and distance education
spellingShingle Billy Tak Ming Wong
Learning analytics in higher education: an analysis of case studies
AAOU Journal
higher education
learning analytics
odl
open and distance education
title Learning analytics in higher education: an analysis of case studies
title_full Learning analytics in higher education: an analysis of case studies
title_fullStr Learning analytics in higher education: an analysis of case studies
title_full_unstemmed Learning analytics in higher education: an analysis of case studies
title_short Learning analytics in higher education: an analysis of case studies
title_sort learning analytics in higher education an analysis of case studies
topic higher education
learning analytics
odl
open and distance education
url https://www.emerald.com/insight/content/doi/10.1108/AAOUJ-01-2017-0009/full/pdf?title=learning-analytics-in-higher-education-an-analysis-of-case-studies
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