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.
If you do research in the field of learning science there is almost certainly one point in which you realise how difficult is to model and describe a learning process.
Did you know that users are more likely to choose, buy and use products that meet their needs as opposed to products that just meet their wants? An Empathy map will help you understand your user’s needs while you develop a deeper understanding of the persons you are designing for. There are many techniques you can use to develop this kind of empathy. An Empathy Map is just one tool that can help you empathise and synthesise your observations from the research phase, and draw out unexpected insights about your user’s needs.
An Empathy Map allows us to sum up our learning from engagements with people in the field of design research. The map provides four major areas in which to focus our attention on, thus providing an overview of a person’s experience. Empathy maps are also great as a background for the construction of the personas that you would often want to create later.
An Empathy Map consists of four quadrants. The four quadrants reflect four key traits, which the user demonstrated/possessed during the observation/research stage. The four quadrants refer to what the user: Said, Did, Thought, and Felt. It’s fairly easy to determine what the user said and did. However, determining what they thought and felt should be based on careful observations and analysis as to how they behaved and responded to certain activities, suggestions, conversations, etc.
A flipped classroom approach to using video for igniting student discussion and engagement. Available on iOS, Android, Chromebook, and all major browsers.
J. Arzberger, J. Zevering, F. Arzberger, and A. Nüchter. Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC '24), page 74--81. Paredes de Coura, Portugal, (2024)