Exploring Learning Analytics Practices and Their Benefits through the Lens of Three Case Studies in UK Higher Education
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| 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 |
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| Header | DbId: eric DbLabel: ERIC An: EJ1467353 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Exploring Learning Analytics Practices and Their Benefits through the Lens of Three Case Studies in UK Higher Education – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Neil+Dixon%22">Neil Dixon</searchLink><br /><searchLink fieldCode="AR" term="%22Rob+Howe%22">Rob Howe</searchLink><br /><searchLink fieldCode="AR" term="%22Uwe+Matthias+Richter%22">Uwe Matthias Richter</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Research+in+Learning+Technology%22"><i>Research in Learning Technology</i></searchLink>. 2025 33. – Name: Avail Label: Availability Group: Avail Data: Association for Learning Technology. Gipsy Lane, Headington, Oxford OX3 0BO, UK. e-mail: enquiries@alt.ac.uk; Web site: https://journal.alt.ac.uk – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 14 – Name: DatePubCY Label: Publication Date Group: Date Data: 2025 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Learning+Analytics%22">Learning Analytics</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Benefits%22">Educational Benefits</searchLink><br /><searchLink fieldCode="DE" term="%22Case+Studies%22">Case Studies</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Quality%22">Educational Quality</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Practices%22">Educational Practices</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Use%22">Data Use</searchLink><br /><searchLink fieldCode="DE" term="%22Learner+Engagement%22">Learner Engagement</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Technology%22">Educational Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+Assurance%22">Quality Assurance</searchLink><br /><searchLink fieldCode="DE" term="%22Accuracy%22">Accuracy</searchLink> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22United+Kingdom%22">United Kingdom</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 2156-7069<br />2156-7077 – Name: Abstract Label: Abstract Group: Ab Data: 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. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2025 – Name: AN Label: Accession Number Group: ID Data: EJ1467353 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 14 Subjects: – SubjectFull: Learning Analytics Type: general – SubjectFull: Educational Benefits Type: general – SubjectFull: Case Studies Type: general – SubjectFull: Higher Education Type: general – SubjectFull: Foreign Countries Type: general – SubjectFull: Educational Quality Type: general – SubjectFull: Educational Practices Type: general – SubjectFull: Data Use Type: general – SubjectFull: Learner Engagement Type: general – SubjectFull: Educational Technology Type: general – SubjectFull: Quality Assurance Type: general – SubjectFull: Accuracy Type: general – SubjectFull: United Kingdom Type: general Titles: – TitleFull: Exploring Learning Analytics Practices and Their Benefits through the Lens of Three Case Studies in UK Higher Education Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Neil Dixon – PersonEntity: Name: NameFull: Rob Howe – PersonEntity: Name: NameFull: Uwe Matthias Richter IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 2156-7069 – Type: issn-electronic Value: 2156-7077 Numbering: – Type: volume Value: 33 Titles: – TitleFull: Research in Learning Technology Type: main |
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