3. Support for operational decision-making
The benefits of data analytics in education go beyond learning and teaching processes, and data on students and stakeholders at the administrative level can also provide important insights. A field with a different focus, but related to learning analytics, is academic analytics.
Definition.
Academic analytics is focused on the collection, analysis, and visualisation of educational data in order to generate institutional insights and improve decision-making (Tsai et al., 2022). In a broader sense, academic analytics is closely related to business analytics and uses data to support the management of higher education institutions, while in a narrower sense, it may also include students’ academic achievement, overlapping with learning analytics (Ferreira & Andrade, 2016). In general, academic analytics supports higher education institutions in operational and financial decision-making (van Barneveld et al., 2012), while learning analytics is more focused on students (Tsai & Gašević, 2017).
The results of academic analytics are more often used by those in management positions (Agasisti & Bowers, 2017).
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