ABSTRACT: Despite the potential of learning analytics (LA) to enhance student learning in higher education, the adoption of learning analytics is still lagging. In this workshop, participants will share evidence and experiences with implementations of LA applications in higher education. The workshop aims to lower the threshold for a wider audience to engage with study data, thereby scaling LA. The focus is on increasing stakeholders’ engagement and data availability, with an emphasis on the methods and conditions for making data available to LA stakeholders. A key area of interest is the use of Learning Analytics Dashboards (LADs), aimed, for example, at improving student self-directed and self-regulated learning by actively engaging stakeholders to use the data. The workshop will provide insights into applications of dashboards, the commonalities and differences between them, as well as the potential and the use of AI to empower LADs. It will also focus on determining the theoretical principles that are not yet implemented in practice, and what is needed to accomplish more evidence-based LAD design. Accordingly, the workshop will provide a platform for a thorough discussion on the mapping between theory and practice in LA adoption.