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Education and Information Technologies

Erschienen in:

13.10.2016

Predicting learners styles based on fuzzy model

verfasst von: Marwah Alian, Adnan Shaout

Erschienen in: Education and Information Technologies | Ausgabe 5/2017

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Abstract

Learners style is grouped into four types mainly; Visual, auditory, kinesthetic and Read/Write. Each type of learners learns primarily through one of the main receiving senses, visual, listening, or by doing. Learner style has an effect on the learning process and learner’s achievement. It is better to select suitable learning tool for the learner according to his learning style. In this work, a fuzzy model for predicting learner style depending on characteristics of the learner is proposed. The system was tested on a group of students and compared to their results from the online VARK questionnaire which is a tool that is used to give the students information on how to maximize their learning. The new proposed fuzzy inference system gave 48 % similar classification compared with the VARK.

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Titel: Predicting learners styles based on fuzzy model
verfasst von: Marwah Alian
Adnan Shaout
Publikationsdatum: 13.10.2016
Verlag: Springer US
Erschienen in: Education and Information Technologies / Ausgabe 5/2017
Print ISSN: 1360-2357
Elektronische ISSN: 1573-7608
DOI: https://doi.org/10.1007/s10639-016-9543-4

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