The Experience API (xAPI) allows us to collect data about any type of learning experience or activity, but does that mean we should? Should we generate massive amounts of xAPI data for every possible type of interaction and then expect to make sense of it all later? This approach can be costly in terms of data storage, but also in terms of your time.
Sunday Blake dives into the latest in learning analytics and engagement data, and asks how universities can act upon it to make our interactions with students more human.
Dashboard is a prominent artefact that users interact with when it comes to learning analytics. What is a learning analytics dashboard ? Who is it for? What is the key to effective adoption of learning analytics dashboard? Listen to Martin Hlosta and Fabio Campos sharing their experience in supporting the use of learning analytics dashboard on a large scale.
Jon Udell on 21 JUL 2021
Suppose you're a member of a team that runs a public web service. You need to help both internal and external users make sense of all the data that's recorded as it runs. That's been my role for the past few years, now it's time to summarize what I've learned.
In this lecture series Bart Rienties (Professor of Learning Analytics, head of Academic Professional Development) will discuss how from the safety of your home you could use existing trace data to explore interactions between people (e.g., Twitter data, engagement data in a virtual learning environment, public data sets), and what the affordances and limitations of these trace data might be.
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.
This post is some thinking around Col's PhD resulting from some conversations and presentations from this year’s wonderful ALASI2018 conference held recently in Melbourne.
V. Murphy, A. Littlejohn, and B. Rienties. Mixed methods social network analysis: Theories and methodologies in learning and education, Routledge, London, United Kingdom, (2020)