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ERIC Number: EJ1152689
Record Type: Journal
Publication Date: 2017-Sep
Pages: 18
Abstractor: As Provided
ISSN: ISSN-1360-2357
Predicting Learners Styles Based on Fuzzy Model
Alian, Marwah; Shaout, Adnan
Education and Information Technologies, v22 n5 p2217-2234 Sep 2017
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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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A