The Learning Material Classified Model Using VARK Learning Style

  • Beesuda DaoruangEmail author
  • Anirach Mingkhwan
  • Charun Sanrach
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1135)


The purpose of this research is to present an analytical model that can classify learning materials and identify the content presentation of the format suitable for students with what learning style according to the VARK learning style. The steps begin with the classification of learners’ patterns with the VARK questionnaire from a sample group then, using online learning material, the learning achievement of each classified group is analyzed. By comparison, each group learning achievements found that online lessons on Multimedia Design and Development are suitable for the group of students with a quadmodal learning style, which has four learning styles in both Visual, Aural, Read/Write and Kinesthetic got higher learning achievement. Learning from an achievement from learner groups with other learning styles from these experimental results can present an analysis model that can be used to classify the learning materials. The initial step is classifying the learner’s learning style with the theory or tools used to classify learning patterns. The next step is using the learning materials that need to be analyzed with the learner’s group to get learning achievement, then compare between learners’ groups achievement according to different learning styles that are classified. The results are showing that learning material is suitable for learners of what learning style, which will make better learning achievement.


Learning material Classify Learning style VARK 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Beesuda Daoruang
    • 1
    Email author
  • Anirach Mingkhwan
    • 1
  • Charun Sanrach
    • 1
  1. 1.King Mongkut’s University of Technology North BangkokBangkokThailand

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