Vol.7, No.1, February 2018.                                                                                                                                                                     ISSN: 2217-8309

                                                                                                                                                                                                                eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Selection and Prioritization of Adaptivity Criteria in Intelligent and Adaptive Hypermedia e-Learning Systems


Maja Gligora Marković, Nikola Kadoić, Božidar Kovačić


© 2018 Maja Gligora Marković et al, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 7, Issue 1, Pages 137-146, ISSN 2217-8309, DOI: 10.18421/TEM71-16, February 2018.


Received: 14 October 2017
Accepted: 22 December 2017
Published: 23 February 2018




One of the main characteristics of Intelligent and Adaptive Hypermedia E-Learning Systems (IAHe-LS) are adaptivity criteria. Selecting adaptivity criteria is one of the main steps in developing a prototype of a System for Dynamic Generating of Learning Objects (SDGLO) that will support the individual personalised learning process. The selection of those criteria has a high impact on the quality of usage of those systems. This paper presents research into prioritisation of adaptivity criteria from the perspective of their usage and the selection of adaptivity criteria for creating the SDGLO prototype. The methods that were used in the research are: descriptive statistics, Cronbach Alpha, one-way ANOVA, and Analytic Hierarchy Process (AHP) with final qualitative analysis. In conclusion, for the development of a prototype of SDGLO, the adaptivity criteria that are selected are learning style, cognitive style and learning goals.


Keywords – SDGLO, adaptivity, criteria, adaptive hypermedia e-learning system, intelligent e-learning system.



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