How Inverse Blended Learning can Turn Up Learning with MOOCs?

Martin Ebner, Mohammad Khalil, Sandra Schön, Christian Gütl, Birgit Aschemann, Wilfried Frei, David Röthler

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

6 Citations (Scopus)
36 Downloads (Pure)


Massive Open Online Courses (MOOCs) have been a hype in technology
enhanced learning systems the last couple of years. The promises behind
MOOCs stand on delivering free and open education to the public, as well as
training a large criterion of students. However, MOOCs clashes severely with
students dropout which by then forced educationalists to deeply think of
MOOCs effectivity from all angles. As a result, the authors of this paper propose
a pedagogical idea that strongly depends on injecting the online learning
(MOOC) with face-to-face sessions to refresh the students minds as well as integrating them in the real learning process. The authors after that analyze the results of their experiment using Learning Analytics. The outcomes have shown a
new record of certification ratio (35.4%), an improvement of student interaction
in the MOOC platform, and a manifest in social interaction in the MOOC discussion forum.
Original languageEnglish
Title of host publicationMOOC-MAKER 2017
Subtitle of host publicationProceedings of the International Conference MOOC-MAKER 2017
EditorsR.H. Rizzardini, H.R. Amado-Salvatierra
Number of pages10
Publication statusPublished - Nov 2017
EventInternational Conference MOOC-MAKER 2017 - Antigua Guatemala, Guatemala
Duration: 16 Nov 201717 Nov 2017

Publication series

NameCEUR Workshop Proceedings
ISSN (Electronic)1613-003


ConferenceInternational Conference MOOC-MAKER 2017
CityAntigua Guatemala


  • MOOC
  • Learning Analytics
  • iMooX
  • Inverse blended learning


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