This paper presents a multimodal approach to identify learning and learning assessment strategies of visual and verbal learner. V-Square test identifies visual and verbal learners. It uses questions related to visual/verbal dimension of Felder Silverman Model. Learning strategy test identifies the learning strategy of visual, verbal and balanced learner. Learning assessment test deduces assessment strategies for these learners. Both tests uses questions associated with aural and read/write dimensions of VARK model. This paper summarizes data analysis of 62 participants collected in a web based eLearning environment. Analysis serves an important parameter for development of learning and learning assessment objects.

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.

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