ABSTRACT
Learning analytics brings together multiple systems, sources of data, stakeholders and processes. Jisc's architecture for learning analytics expands on Apereo's vision and illustrates the key components required for carrying out learning analytics, providing the data to stakeholders, obtaining students' consent for data collection and intervention, and managing any resulting interventions with learners. This chapter outlines the key data processes of extracting, transforming, loading, storing, processing, displaying and alerting and described the different types of data that are being used by researchers and in large-scale institutional implementations. It also shows how the processes are integrated as discrete software components in two open architectures. The elements of Jisc's architecture are provided freely by Jisc to universities and colleges in the UK, with the intention of helping them to develop their analytics capabilities. Conceptual models of the architecture required for learning analytics by definition provide a simplified view and leave out some of the technical detail and lower-level processes.
