How to analyze participation in a (c)mooc?
- The paper takes a deeper look at participation rates in cMOOCs. To get a better insight into the behavior of learners in MOOCs, studiumdigitale has developed a tool which helps to analyze the contribution of participants in the so called cMOOCs. These are MOOCs which are fostering the active participation of learners in various tools and which are based on the concept of connectivism [1]. After an approach at each part of the definition of MOOCs and the discussion of the different categories of this quite new phenomena a deeper look will be taken into the analysis of two cMOOCs, OPCO11 and OPCO12 which took place 2011 and 2012 [2].
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| Author: | Claudia BremerGND, David Weiß |
|---|---|
| URN: | urn:nbn:de:hebis:30:3-391156 |
| ISBN: | 978-84-616-3822-2 |
| ISSN: | 2340-1117 |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2013 |
| Year of first Publication: | 2013 |
| Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
| Release Date: | 2016/01/25 |
| Tag: | learning analytics; massive open online courses |
| Page Number: | 10 |
| Note: | Auch erschienen in:EDULEARN 13 Proceedings of the 5th International Conference on Education and New Learning Technologies, Barcelona, Spain. 1-3 July, 2013, ISBN: 978-84-616-3822-2 / ISSN: 2340-1117 |
| HeBIS-PPN: | 369613147 |
| Institutes: | Zentrale Einrichtung / Zentrum für Weiterbildung |
| Dewey Decimal Classification: | 3 Sozialwissenschaften / 37 Bildung und Erziehung / 370 Bildung und Erziehung |
| Sammlungen: | Universitätspublikationen |
| Licence (German): |  Deutsches Urheberrecht |
