Understanding MOOC students: motivations and behaviours indicative of MOOC completion.
Massive open online courses (MOOCs) continue to appear across the higher education landscape, originating from many institutions in the USA and around the world. MOOCs typically have low completion rates, at least when compared with traditional courses, as this course delivery model is very differen...
| Publicado en: | Journal of Computer Assisted Learning Vol. 32; no. 3; pp. 202 - 218 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jun2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=114853561&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 114853561 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Jun2016 vid: 32 iid: 3 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 114853561 114853561 114853561 10.1111/jcal.12131 114853561 ppf: 202 ppct: 16 formats: tig: atl: Understanding MOOC students: motivations and behaviours indicative of MOOC completion. aug: au: Pursel, B.K. Zhang, L. Jablokow, K.W. Choi, G.W. Velegol, D. affil: Education Technology Services and Center for Online Innovations in Learning, The Pennsylvania State University, USA sug: subj: MOOC Motivation Academic Achievement Students, College Surveys Problem Solving Social Media Creativeness Logistic Regression Female Male Language Conceptual Framework Female Male ab: Massive open online courses (MOOCs) continue to appear across the higher education landscape, originating from many institutions in the USA and around the world. MOOCs typically have low completion rates, at least when compared with traditional courses, as this course delivery model is very different from traditional, fee-based models, such as college courses. This research examined MOOC student demographic data, intended behaviours and course interactions to better understand variables that are indicative of MOOC completion. The results lead to ideas regarding how these variables can be used to support MOOC students through the application of learning analytics tools and systems. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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