Now that the “the only constant is change” in society, our capacity to engage with novel challenges is of first order importance. What are the personal dispositions that authentic learning needs to cultivate, and can we make these assessable and visible to learners and educators?
At the 2019 Enterprise Summit, higher education IT, business and finance, and institutional research professionals gathered to explore the future and the promise of analytics. This third in a series of three blog posts discusses the importance of governance, collaboration, and communication to an analytics future.
SWARM is a cloud platform aimed at improving analytical reasoning in intelligence work. SWARM tries to improve analytical reasoning by improving collaboration within groups of analysts rather than by trying to structure their thinking in any particular way.
Implementing a learning analytics system across all higher education institutions in Wales provides a model for the opportunities for such services at a national scale.
During last few years, possibilities to exploit learning analytics have gained attention in Finnish educational institutions. National development of learning analytics functionalities has emerged, but internationally focused conversation around the topic would enrich the national work.
Im März steht Frankfurt am Main im Zeichen von Learning Analytics: Aus allen Teilen der Welt strömen dann wissenschaftliche Expertinnen und Experten für diesen Teilbereich der digitalen Bildung auf den Campus Westend, um sich auf einer Konferenz über entsprechende Weiterentwicklungen und Perspektiven auszutauschen.
In an exciting new paper from the Health Simulation Analytics project, we document our approach to give meaning to multimodal group activity data, in order to give personalised feedback to teams as quickly as possible.
Jeff Greene and Matt Bernacki are learning scientists in the UNC-Chapel Hill School of Education. They leverage the data that students create when they use digital resources to help them learn.