A conceptual framework for evolving, recommender online learning systems

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dc.contributor.author Peiris, Kirikankanange en
dc.contributor.author Gallupe, BG en
dc.contributor.editor Sankar, C en
dc.coverage.spatial USA en
dc.date.accessioned 2015-07-23T00:58:05Z en
dc.date.issued 2012-07 en
dc.identifier.citation Decision Sciences Journal of Innovative Education, 2012, 10 (3), pp. 389 - 412 en
dc.identifier.issn 1540-4595 en
dc.identifier.uri http://hdl.handle.net/2292/26370 en
dc.description.abstract A comprehensive conceptual framework is developed and described for evolving recommender-driven online learning systems (ROLS). This framework describes how such systems can support students, course authors, course instructors, systems administrators, and policy makers in developing and using these ROLS. The design science information systems research approach was used to develop the framework. The ROLS framework incorporates both the cognitive and situative perspectives of the constructivist paradigm of learning. Research propositions are developed to highlight new research opportunities for these systems. The framework demonstrates how various components of an evolving ROLS can be integrated to provide potential benefits for all users. en
dc.format.medium Journal en
dc.language English en
dc.publisher Decision Sciences Institute / John Wiley & Sons en
dc.relation.ispartofseries Decision Sciences Journal of Innovative Education en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/1540-4595/ http://olabout.wiley.com/WileyCDA/Section/id-820227.html en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.subject Decision-Support Systems en
dc.subject Intelligent Tutoring Systems en
dc.subject Knowledge Management en
dc.subject Online Learning Systems en
dc.subject Recommender Systems en
dc.title A conceptual framework for evolving, recommender online learning systems en
dc.type Journal Article en
dc.identifier.doi 10.1111/j.1540-4609.2012.00347.x. en
pubs.issue 3 en
pubs.begin-page 389 en
pubs.volume 10 en
dc.rights.holder Copyright: Decision Sciences Institute / John Wiley & Sons en
pubs.author-url http://onlinelibrary.wiley.com/doi/10.1111/j.1540-4609.2012.00347.x/abstract en
pubs.end-page 412 en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Article en
pubs.elements-id 285677 en
pubs.org-id Business and Economics en
pubs.org-id Info Systems & Operations Mgmt en
dc.identifier.eissn 1540-4609 en
pubs.record-created-at-source-date 2012-02-03 en

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