Exploring Learning Analytics Practices and Their Benefits through the Lens of Three Case Studies in UK Higher Education

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Bibliographic Details
Title: Exploring Learning Analytics Practices and Their Benefits through the Lens of Three Case Studies in UK Higher Education
Language: English
Authors: Neil Dixon, Rob Howe, Uwe Matthias Richter
Source: Research in Learning Technology. 2025 33.
Availability: Association for Learning Technology. Gipsy Lane, Headington, Oxford OX3 0BO, UK. e-mail: enquiries@alt.ac.uk; Web site: https://journal.alt.ac.uk
Peer Reviewed: Y
Page Count: 14
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Learning Analytics, Educational Benefits, Case Studies, Higher Education, Foreign Countries, Educational Quality, Educational Practices, Data Use, Learner Engagement, Educational Technology, Quality Assurance, Accuracy
Geographic Terms: United Kingdom
ISSN: 2156-7069
2156-7077
Abstract: Learning analytics (LA) provides insight into student performance and progress, allowing for targeted interventions and support to improve the student learning experience. Uses of LA are diverse, including measuring student engagement, retention, progression, student well-being and curriculum development. This article provides perspectives on the uses of LA in the UK through the analysis of an expert-led panel discussion held in June 2022. Two institutional case studies and a general overview from an LA service are presented, outlining examples of LA from both an institutional and national viewpoint. Following this, this article analyses the panel discussion themes in relation to the literature, covering both the data quality procedures and practices for learning, teaching and assessment. Outcomes and benefits from case studies are highlighted, which serve as best practice for other Higher Education institutions.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1467353
Database: ERIC
Description
Abstract:Learning analytics (LA) provides insight into student performance and progress, allowing for targeted interventions and support to improve the student learning experience. Uses of LA are diverse, including measuring student engagement, retention, progression, student well-being and curriculum development. This article provides perspectives on the uses of LA in the UK through the analysis of an expert-led panel discussion held in June 2022. Two institutional case studies and a general overview from an LA service are presented, outlining examples of LA from both an institutional and national viewpoint. Following this, this article analyses the panel discussion themes in relation to the literature, covering both the data quality procedures and practices for learning, teaching and assessment. Outcomes and benefits from case studies are highlighted, which serve as best practice for other Higher Education institutions.
ISSN:2156-7069
2156-7077