Supporting Learning Analytics Adoption
Evaluating the Learning Analytics Capability Model in a Real-World SettingSupporting Learning Analytics Adoption
Evaluating the Learning Analytics Capability Model in a Real-World SettingSamenvatting
Although learning analytics benefit learning, its uptake by higher educational institutions remains low. Adopting learning analytics is a complex undertaking, and higher educational institutions lack insight into how to build organizational capabilities to successfully adopt learning analytics at scale. This paper describes the ex-post evaluation of a capability model for learning analytics via a mixed-method approach. The model intends to help practitioners such as program managers, policymakers, and senior management by providing them a comprehensive overview of necessary capabilities and their operationalization. Qualitative data were collected during pluralistic walk-throughs with 26 participants at five educational institutions and a group discussion with seven learning analytics experts. Quantitative data about the model’s perceived usefulness and ease-of-use was collected via a survey (n = 23). The study’s outcomes show that the model helps practitioners to plan learning analytics adoption at their higher educational institutions. The study also shows the applicability of pluralistic walk-throughs as a method for ex-post evaluation of Design Science Research artefacts.
Organisatie | Hogeschool Utrecht |
Afdeling | Kenniscentrum Leren en Innoveren |
Lectoraat | Betekenisvol Digitaal Innoveren |
Gepubliceerd in | Applied Sciences MDPI, Vol. 13, Uitgave: 5, Pagina: 3236 |
Jaar | 2023 |
Type | Artikel |
DOI | 10.3390/app13053236 |
Taal | Engels |