Exploring learning analytics practices and their benefits through the lens of three case studies in UK higher education

• Published in: Research in learning technology Vol. 33; pp. 1 - 14
• Main Authors: Dixon, Neil, Howe, Rob, Richter, Uwe Matthias
• Format: Journal Article
• Language: English
• Published: Association for Learning Technology 10.02.2025
• Subjects: data accuracy; data infrastructure; learning analytics; student data view
• ISSN: 2156-7077; 2156-7077
• DOI: 10.25304/rlt.v33.3127

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.