Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/9395
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dević B. | en |
dc.contributor.author | Pipan M. | en |
dc.contributor.author | Dević Z. | en |
dc.contributor.author | Arh T. | en |
dc.date.accessioned | 2019-09-30T09:15:37Z | - |
dc.date.available | 2019-09-30T09:15:37Z | - |
dc.date.issued | 2012-12-01 | en |
dc.identifier.issn | 16130073 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/9395 | - |
dc.description.abstract | Learning Management System (LMS) provides a platform for an on-line learning environment by enabling the management, delivery, and tracking of the learning process and learners. Selection of the most suitable method is usually prolonged by the time and effort consuming evaluations of numerous features of LMS. To reduce the number of features and at the same obtain a reliable result from an evaluation, we propose a decomposition of this complex problem to more easily comprehended subproblems that can be analyzed independently through a multi-criteria method called Analytic Hierarchy Process (AHP). To verify the approach, an expert is asked to use AHP on an originally developed reduced hierarchy of the problem of selecting the most appropriate LMS for the student target group. Results of the application are compared with the results obtained by the DEXi multicriteria model. | en |
dc.relation.ispartof | CEUR Workshop Proceedings | en |
dc.title | AHP supported evaluation of LMS quality | en |
dc.type | Conference Paper | en |
dc.identifier.scopus | 2-s2.0-84875321302 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84875321302 | en |
dc.relation.lastpage | 57 | en |
dc.relation.firstpage | 52 | en |
dc.relation.volume | 922 | en |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | Naučne i umetničke publikacije |
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