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?
Welcome to the “Crowd Layers” dashboard, a public service for Capturing and Reporting Open Web Data for Learning Analytics, Annotation, and Education Researchers (CROWDLAAERS). This real-time dashboard visualizes group – or crowd – discourse layers added via Hypothesis open web annotation to online documents.
With the Experience API we are able to collect more granular, high-resolution data from our learning tools and platforms. But once we have that data, how do we present it in ways that easily communicate the right insights to our stakeholders?
Data visualizations are an easy-to-use, essential tool for understanding and communicating the complex stories that data and analytics can tell. Creating multiple visualizations allows a developer to explore the data and learn some of the interesting ideas, patterns, and surprises it contains.
Higher education (HE) professionals will discover the power of data dashboards in a new continuing professional development (CPD) service launching this month. Catherine O’Donnell, who has already sampled analytics labs as a beta service, describes how the programme benefited her.
Trusted Learning Analytics beruhen auf vertrauensvollen Beziehungen zwischen Anwendern und Nutzern
FRAGEN AN (II/II) Hendrik Drachsler, Professor an der Goethe-Universität Frankfurt und Leiter des Arbeitsbereichs „Educational Technologies“ am DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation, der sich nicht nur mit Bildungstechnologien auseinandersetzt, sondern auch daran arbeitet Learning Analytics an deutsche Hochschulen zu bringen.