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An Interactive Dynamic eLearning Framework for Visual and Verbal Learners

International Journal of Computer Science and Engineering
© 2017 by SSRG - IJCSE Journal
Volume 4 Issue 7
Year of Publication : 2017
Authors : Mahendra A Sethi, Santosh S Lomte
10.14445/23488387/IJCSE-V4I7P102

pdf
How to Cite?

Mahendra A Sethi, Santosh S Lomte, "An Interactive Dynamic eLearning Framework for Visual and Verbal Learners," SSRG International Journal of Computer Science and Engineering , vol. 4,  no. 7, pp. 3-13, 2017. Crossref, https://doi.org/10.14445/23488387/IJCSE-V4I7P102

Abstract:

 In this paper, an eLearning Framework to identify visual and verbal learners is proposed. The proposed framework identifies learning style using ILS Questionnaire based on Felder Silverman Learning Style Model. The learning strategies and learning assessment strategies of visual and verbal learners are identified using the two tests developed based on VARK model. The learner profile data is analyzed using K-Means algorithm to create learning style, learning strategy and assessment strategy clusters. The style specific learning objects are developed and delivered to learners using rule based method and FP Growth algorithm. This framework is useful for teachers to understand the learner and provide them personalized learning environment for improving the learning efficiency.

Keywords:

eLearning, Learning Style, Visual/Verbal Learners, Learning Strategies, KMeans, Association Rule Mining, Dynamic eLearning

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