The main aim of the SOSNetLab project is to build an innovative learning recommender that enables a better understanding of the structures of social networks, tracks the dissemination of information and experiences, and thus helps to make knowledge resources more readily available and better tailored to local communities.
The specific objectives of this project are the participatory development, testing and evaluation of offline and online tools. To this end, a mixed-methods approach has been adopted, incorporating design sprints, social network analysis, natural language processing, machine learning and qualitative surveys. In addition, a series of training sessions and workshops will be designed and delivered to facilitate the use of the Learning Recommender.
Partners: University of California, San Diego, USA; Utah State University, USA; Transcend, USA; High Tech High, USA; YouCubed (Stanford University), USA; Multilingual Learner Leadership and Policy Institute, USA; American Museum of Natural History, USA; NordThird, USA; SkyRocket Software, USA; Universidad Nacional de Educación a Distancia, Spain
https://sosnetlab.com/ (external link, opens in a new window)
Contact person
Prof Dr Regina H. Mulder
Full professor (Pedagogy II)
- E-mail address: regina.mulder(at)ur.de (opens your email program)
- Tel: +49 941 943-3823 (starts a telephone call, if your device allows this)
- Location: Philosophie/Theologie, PT 4.1.05
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Important information: Office hours:
22 July (3–4 PM)
26 August (1–2 PM)
23 September (3–4 PM)
