Designing e-learning environment based on student preferences: conjoint analysis approach

Автор: Marija Kuzmanović, Jelena Andjelković Labrović, Ana Nikodijević

Журнал: International Journal of Cognitive Research in Science, Engineering and Education @ijcrsee

Рубрика: Original research

Статья в выпуске: 3 vol.7, 2019 года.

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The aim of this paper was to determine students’ preferences towards e-learning environment in order to select and design its components that suit the needs of student’s best. The research was implemented using conjoint analysis. Three dimensions of interest were considered: e-learning technology, teaching method and knowledge assessment and the results show that knowledge assessment is the most important e-learning attribute for both traditional and online students. Adding into consideration the teaching method as well, further analysis showed that students can be profiled in two segments: oriented on results or process, which can be used at the beginning of studies to adjust e-learning environment. Research findings emphasized student preferences as essential for designing e-learning system, while student satisfaction turned out to be a key factor determining their persistence for studying in e-learning environment. Finally, recommendations for improvement of existing e-learning system were given.

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E-learning, student preferences, conjoint analysis, heterogeneity, segmentation

Короткий адрес: https://sciup.org/170198563

IDR: 170198563   |   DOI: 10.5937/IJCRSEE1903037K

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