Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/25044
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Montebello, Matthew | - |
dc.date.accessioned | 2017-12-27T09:52:40Z | - |
dc.date.available | 2017-12-27T09:52:40Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Montebello, M. (2017). E-learning paradigms : a model to address known issues. IEEE Computing Conference (SAI - Science and Information Conference), London. | en_GB |
dc.identifier.isbn | 9781509054435 | - |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/25044 | - |
dc.description.abstract | Issues related to e-learning could be attributed to a number of factors due to its multi-facetted nature. In this paper a model to address known issues is presented in an effort to conceptualise a solution through the application of different paradigms. Implementation details of how the proposed model was applied to a real learning environment are presented together with results from an empirical study within a higher education institution. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Distance education | en_GB |
dc.subject | Open learning | en_GB |
dc.subject | Human computation | en_GB |
dc.subject | Web 2.0 | en_GB |
dc.title | E-learning paradigms : a model to address known issues | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | IEEE Computing Conference (SAI - Science and Information Conference) | en_GB |
dc.bibliographicCitation.conferenceplace | London, UK, 2017 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
34.pdf Restricted Access | Full paper | 348.27 kB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.