Predicting learners styles based on fuzzy model-Reference-Cited by-同舟云学术

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Predicting learners styles based on fuzzy model

Published:2016-10-13 Issue:5 Volume:22 Page:2217-2234
ISSN:1360-2357
Container-title:Education and Information Technologies
language:en
Short-container-title:Educ Inf Technol

Author:

Alian Marwah,Shaout Adnan

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Education

Link

http://link.springer.com/article/10.1007/s10639-016-9543-4/fulltext.html

Reference24 articles.

1. Alian, M. (2011) Formalization and Implementation of Eliminating and Optimizing Selection, (EOS) approach, Education and Information Technologies: Volume 16, Issue 1, pp. 89–103. doi: 10.1007/s10639-009-9113-0 ,“Special Issue: Online Learning Technologies”, Springer 2011.

2. Almohammadi, K., & Hagras, H. (2013). An adaptive fuzzy logic based system for improved knowledge delivery within intelligent ELearning platforms. IEEE International Conference on Fuzzy Systems, 1–8. doi: 10.1109/FUZZ-IEEE.2013.6622350 .

3. Barbe, W. B., Swassing, R. H., & Milone, M. N. (1979). Teaching through modality strengths: concepts and practices. Columbus: Zaner-Bloser.

4. Berry, D. C., & Broadbent, D. E. (1990). The role of instruction and verbalization in improving performance on complex search tasks. Behavior & Information Technology, 9, 175–190.

5. Berti, S., & Schroger, E. (2001). A comparison of auditory and visual distraction effects: behavioral and event-related indices, research report. Cognitive Brain Research, 10(2001), 265–273.

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