Understanding MOOC students: motivations and behaviours indicative of MOOC completion

Author:

Pursel B.K.1,Zhang L.2,Jablokow K.W.3,Choi G.W.4,Velegol D.5

Affiliation:

1. Education Technology Services and Center for Online Innovations in Learning; The Pennsylvania State University; USA

2. Department of Education Policy Studies; The Pennsylvania State University; USA

3. Penn State Great Valley School of Graduate Professional Studies; The Pennsylvania State University; USA

4. Department of Learning and Performance Systems; The Pennsylvania State University; USA

5. Department of Chemical Engineering; The Pennsylvania State University; USA

Publisher

Wiley

Subject

Computer Science Applications,Education

Reference48 articles.

1. Course signals at Purdue

2. Belanger , Y. Thornton , J. 2013 Bioelectricity: A quantitative approach to Duke University's first MOOC http://hdl.handle.net/10161/6216

3. Studying learning in the worldwide classroom: Research into edX's first MOOC;Breslow;Research & Practice in Assessment,2013

4. A time series interaction analysis method for building predictive models of learners using log data

5. Academic analytics: A new tool for a new era;Campbell;EDUCAUSE Review,2007

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