The MOOC and learning analytics innovation cycle (MOLAC): a reflective summary of ongoing research and its challenges.
The article deals with the interplay between learning analytics and massive open online courses (MOOCs) and provides a conceptual framework to situate ongoing research in the MOOC and learning analytics innovation cycle (MOLAC framework). The MOLAC framework is organized on three levels: On the micr...
| Publicado en: | Journal of Computer Assisted Learning Vol. 32; no. 3; pp. 281 - 291 |
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| Autores principales: | , |
| Formato: | 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=114853560&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 114853560 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: 114853560 114853560 114853560 10.1111/jcal.12135 114853560 ppf: 281 ppct: 10 formats: tig: atl: The MOOC and learning analytics innovation cycle (MOLAC): a reflective summary of ongoing research and its challenges. aug: au: Drachsler, H. Kalz, M. affil: Welten Institute – Research Centre for Learning, Teaching and Technology, Open University of the Netherlands, The Netherlands sug: subj: MOOC Data Analytics Conceptual Framework Educational Measurement Learning Methods Serial Publications ab: The article deals with the interplay between learning analytics and massive open online courses (MOOCs) and provides a conceptual framework to situate ongoing research in the MOOC and learning analytics innovation cycle (MOLAC framework). The MOLAC framework is organized on three levels: On the micro-level, the data collection and analytics activities are focused on individual reflection and individual prediction. On the meso-level, data from several open courses are combined to support benchmarking and to create insights about behaviour of groups of learners rather than the individual. These insights can inform the institution to adapt their educational model. On the macro-level of the framework, cross-institutional learning analytics enables to develop learning and teaching interventions that can be tested in a cluster of educational organizations to analyse the impact of these interventions beyond contextual factors. The article proposes four areas of future activities that are needed to enable the MOLAC framework. These are the standardization of the description of the educational design of MOOCs, data sharing facilities across institutions, joint policymaking and ethical guidelines and last but not least standardized evaluation approaches. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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