Evaluation of quality of personalised learning scenarios: An improved MCEQLS AHP method

Eugenijus Kurilovas, Inga Zilinskiene

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

The aim of the paper is to investigate and present a comprehensive scientific model and a novel method of consecutive four steps application of Analytic Hierarchy Process (AHP) for the expert evaluation of the quality of learning scenarios. The paper pays a special attention to learning scenarios suitability to particular learner groups (i.e. learning styles). Solution of learning scenarios quality evaluation and optimisation problems could help educational institutions to select suitable learning scenarios for the particular learner groups. Several well-known scientific principles are applied to create a comprehensive quality model (criteria system) for evaluating learning scenarios. The research results will be implemented in iTEC-a four-year, pan-European research and development project focused on the design of the future classroom funded byEU7FP. Several practical examples of iTEC learning scenarios have been evaluated against the proposed model and method. The research results have shown that a novel method of four steps application of AHP both for establishing weights and ratings (values) of the quality criteria is suitable to solve learning scenarios multiple criteria evaluation and optimisation tasks for particular learning styles.

Original languageEnglish
Pages (from-to)1309-1315
Number of pages7
JournalInternational Journal of Engineering Education
Volume28
Issue number6
Publication statusPublished - 2012
Externally publishedYes

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Keywords

  • Analytic Hierarchy Process
  • Expert evaluation
  • Learning scenarios
  • Learning styles
  • Multiple criteria decision analysis
  • Optimisation methods
  • Quality criteria

ASJC Scopus subject areas

  • Engineering(all)
  • Education

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