Multi-Criteria Approach to Learning Object Selection Through Fuzzy AHP.

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Bibliographic Details
Title:	Multi-Criteria Approach to Learning Object Selection Through Fuzzy AHP.
Authors:	INCE, MURAT¹ muratince@sdu.edu.tr, IŞIK, ALI HAKAN², YIG¯IT, TUNCAY³
Source:	Journal of Multiple-Valued Logic & Soft Computing. 2016, Vol. 27 Issue 1, p47-62. 16p. 1 Color Photograph, 3 Diagrams, 2 Charts, 4 Graphs.
Subjects:	Mathematical models of learning, Mathematical models of decision making, Metadata, Internetworking, Fuzzy algorithms
Abstract:	E-content includes Learning Objects (LO) and metadata to provide sustainability, reusability, and interoperability. In order to accomplish the requirements, massive numbers of LOs are produced for learning object repositories (LOR). A LO uses metadata together with a huge amount of criteria. Due to this reason, defining the best qualified LO according to the needs is a multi-criteria decision making (MCDM) problem. Moreover, finding the most appropriate LO is a difficult task whenever the some criteria do not precisely match metadata parameters. In this study, a fuzzy analytical hierarchy process (FAHP) based MCDM method is employed to find the most suitable LO through the web-based SDUNESA LOR software. The proposed approach provides a new perspective to LO selection problem using the FAHP method. The study is illustrated with a real-world case according to computer engineering preferences. It is shown with the results that FAHP technique finds suitable LOs with a minimum consistency ratio by means of metadata values. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	E-content includes Learning Objects (LO) and metadata to provide sustainability, reusability, and interoperability. In order to accomplish the requirements, massive numbers of LOs are produced for learning object repositories (LOR). A LO uses metadata together with a huge amount of criteria. Due to this reason, defining the best qualified LO according to the needs is a multi-criteria decision making (MCDM) problem. Moreover, finding the most appropriate LO is a difficult task whenever the some criteria do not precisely match metadata parameters. In this study, a fuzzy analytical hierarchy process (FAHP) based MCDM method is employed to find the most suitable LO through the web-based SDUNESA LOR software. The proposed approach provides a new perspective to LO selection problem using the FAHP method. The study is illustrated with a real-world case according to computer engineering preferences. It is shown with the results that FAHP technique finds suitable LOs with a minimum consistency ratio by means of metadata values. [ABSTRACT FROM AUTHOR]
ISSN:	15423980