The Classification of VARK Learning Style of Computer Engineering Students of Rajamangala University of Technology Phra Nakhon

Main Article Content

ธนาวุฒิ นิลมณี
ดวงกมล โพธิ์นาค
กฤช สินธนะกุล

Abstract

The purpose of this research was to classify VARK Learning Style of Computer Engineering Students at Rajamangala Unversity of Technology Phra Nokhon. The samples of this research were 337 students. Data were collected by using questionnaire based on VARK Learning Style. The questionnaire consists of sixteen questions which were chosen the best answer. The results showed that the computer engineering students had different learning styles. There were 126 students who passed the specified criteria of an aptitude. Due to the students’ skill, they were divided into two group: 1) 68 students were Unimodal Learner (54%); 2) 58 students were Multimodal Learner (46%). Therefore, there was not a big different amount between unimodal learner and multimodal learner. According to 58 multimodal learners, they were divided into three groups: 1) 36 students were Bi-modal (62%); 2) 7 students were Tri-modal (26%); and 3) 7 students were Quad-modal. The finding revealed that the classification of VARK Learning Style is useful and practical, especially, increasing efficiency of students.

Article Details

Section
Research article

References

1.คณะกรรมการการศึกษาแห่งชาติ. (2545). พระราชบัญญัติการศึกษาแห่งชาติแก้ไขเพิ่มเติม (ฉบับที่ 2) พ.ศ. 2545. กรุงเทพฯ : ครุสภาลาดพร้าว.
2.สิรารักษ์ ศรีมาลา และรุ่งทิวา หวังเรืองสถิตย์. (2558). ผลสัมฤทธิ์และความพึงพอใจของนักศึกษาพยาบาลต่อการจัดการเรียนการสอนการพยาบาลทารกแรกเกิดแบบ VARK Learning Style. วารสารวิชาการสาธารณสุข, 24(4),751-759.
3.Bellanca, J. A. & Brandt, R. S. (2010). 21st Century Skills: Rethinking How Student Learn. US: Solution Tree.
4.Fleming, N. D. & Mills, C. (2008). VARK a guide to learning styles [Online]. Retrieved May 8, 2015, from: http://www.varklearn.com/Retrieved.
5.Hawk, T. F. & Shah, A. J. (2007). Using learning style instruments to enhance student learning. Decision Sciences Journal of Innovative Education, 5, 1-19.
6.James, W. B. & Gardner, D. L. (1995). Learning styles: Implications for distance learning. New directions for adult and continuing education, 1995, 19-31.
7.Katsioloudis, P. J. & Fantz, T. D. (2012). A Comparative Analysis of Preferred Learning and Teaching Styles for Engineering Industrial and Technology Education Students and Faculty. Journal of Technology Education, 23(2), 61-69.
8.Kow-trakul, S. (2002). Educational Psychology. (5th ed.). Bangkok: Chulalongkorn University Press.
9.Pawuttipattarapong, S. (2014). TESL students, M.Ed, Burapha University [Online]. Retrieved June 16, 2015, from: http://vark-learn.com/wp-content/uploads/2014/08/The-VARK-Questionnaire-Thai.pdf.
10.Pashler, H., McDaniel, M., Rohrer, D. & Bjork, R. (2008). Learning styles concepts and evidence. Psychological science in the public interest, 9(3), 105-119.
11.Tanwinit, A. & Sittiprapaporn, W. (2010). Learning Styles of Undergraduate Musical Students Attending Music College in Thailand. Revista Electr. De LEEME (Lista Europea Electrónica de Música en la Educación), 2(5), 149-163.
12.Wittmann-Price, R. A. & Godshall, M. (2009). Strategies to promote deep learning in clinical nursing courses. Nurse Educator, 34(5), 214-216.