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You have a multimodal (VARK) learning preference.
Use the following helpsheets for study strategies that apply to your learning preferences: multimodal visual aural read-write kinesthetic The VARK Questionnaire: How Do I Learn Best?
The VARK questionnaire alerts people to the diversity of different approaches to learning styles. VARK questionnaire help learners identify their specific learning methods to concentrate on learning material with significant segments. Any profession can use VARK learning methods to teach or introduce study material to their comrades. The VARK questionnaire is based on four piles and there are five different learning strategies and they are, multimodal, visual, aural, read-write, kinesthetic. When an Individual takes the VARK questionnaire assessment, they will be scored under these four learning methods: visual, aural, read/write, and kinesthetic. Each individual learning method is different, likewise it could be situational to the dependent, environment and open access.

After conducting VARK questionnaire, the results show my learning preference is multimodal. And according to VARK, if you have multiple preferences you are in the majority, as approximately 60% of any population fits that category (please use citation from VARK Multimodal study strategy_). My learning method scores are, visual 11, aural 11, read/write 13, and kinesthetic 11. Multimodal individuals’ shift their learning preferences depend up on matter of subject or certainty of subject. Changing learning preference according to the situation is significant to multimodal learners.
According to VARK questionnaire Designer Neil D Fleming, there are two groups of Multimodal learners. Context Specific Approach is the first group and they look at the information that has to be learned or conveyed to another person and choose the mode that they believe is the best one for that situation. From the VARK Questionnaire this group tends to have a low total score between 13 and 26.
Then there is Whole-Sense Approach which is the second group within the multimodal VARK category

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