Designing a Multimodal Learning Preference Test Using VARK Model

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In summary, the conversation discusses creating a survey to test learning preferences based on the VARK model. The test will consist of 16 multiple choice questions with four options for each (visual, aural, kinesthetic, and read/write). The goal is to determine if someone is multimodal or has a mild visual learning style. One suggested approach is to create video questions with different variations and present them randomly to people.
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Zayn
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Homework Statement



For my data management class, I want to make a survey that has questions to test your learning preferences based on a VARK model (visual, aural, kinesthetic, and read/write) (I know the validity of the test itself is questionable, but I still think some interesting trends might be observed).

The test will consist of 16 multiple choice questions, each of which having a visual, aural, kinesthetic, and read/write option. I take the 16 answers and then give them some score: V/A/R/K so 12/2/1/1 would indicate someone who is a strong visual learner. I was just wondering what kind of algorithm to use to determine if someone is multimodal (4/4/3/5, for example), or has a mild visual learning style (8/4/2/2).

Homework Equations



I have no idea how to approach the problem.

The Attempt at a Solution

 
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I think you would need to design an app to give the test because of the auditory and kinesthetic aspects.

One approach might be to create video questions:

1) shows the question with a graphic visualization or speaks the question with a graphic
2) speaks the question with blank screen
3) shows a person speaking the question while articulating with hands or moving around
4) shows the question just printed on the screen.

You could do these four variations for each of your sixteen questions and then present them randomly to people to see how they respond. Questions could be multiple choice or fill in the blanks or true false.
 
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