Name
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s10639-016-9543-4 | EAIT |
Keywords | Field | DocType |
Learners style, VARK, Fuzzy logic, Fuzzy inference system | Kinesthetic learning,Fuzzy model,Computer science,Auditory learning,Fuzzy logic,Active listening,Artificial intelligence,Cognitive style,Fuzzy inference system | Journal |
Volume | Issue | ISSN |
22 | 5 | 1573-7608 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marwah Alian | 1 | 6 | 4.90 |
| Adnan Shaout | 2 | 8 | 8.98 |