Application of Multiple Criteria Decision Analysis and Optimisation Methods in Evaluation of Quality of Learning Objects

Eugenijus Kurilovas, Irina Vinogradova and Silvija Serikoviene
Additional contact information
Eugenijus Kurilovas: Vilnius University, Vilnius Gediminas Technical University, Lithuania
Irina Vinogradova: Vilnius University, Vilnius Gediminas Technical University, Lithuania
Silvija Serikoviene: Vilnius University, Lithuania

International Journal of Online Pedagogy and Course Design (IJOPCD), 2011, vol. 1, issue 4, 62-76

Abstract: This paper analyses and presents the new scientific models and methods for the expert evaluation of quality of learning objects (LOs) paying special attention to LOs reusability level. Currently all existing approaches in the area are quite subjective and depend only on the experience of the decision-makers. The authors analyse several scientific methods and principles to minimise the subjectivity level in the expert evaluation of LOs quality. They are: (a) the principles of multi-criteria decision analysis for identification of quality criteria, (b) technological quality criteria classification principle, (c) fuzzy group decision making theory to obtain evaluation measures, (d) normalisation of the weights of criteria, and (e) scalarisation method for LOs quality optimisation. The authors demonstrate that the complex application of these approaches could significantly improve the quality of the expert evaluation of LOs and noticeably reduce the level of the expert evaluation subjectivity. The paper also presents the example of practical application of these approaches for evaluation of LOs for Mathematics subject.

Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
https://services.igi-global.com/resolvedoi/resolve ... 18/ijopcd.2011100105 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jopcd0:v:1:y:2011:i:4:p:62-76

Access Statistics for this article

International Journal of Online Pedagogy and Course Design (IJOPCD) is currently edited by Chia-Wen Tsai

More articles in International Journal of Online Pedagogy and Course Design (IJOPCD) from IGI Global
Bibliographic data for series maintained by Journal Editor ().