The Learning Styles of Taiwanese Mechanical Engineering Students

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Learning style has been proven to be an important factor that affects student learning performance. By knowing student learning styles, instructors can modify teaching material and teaching methods accordingly for the greater benefit of students. By understanding the strengths and weaknesses of learning styles, students may adopt complementary learning strategies, thus improving their performance. The Index of Learning Styles (ILS) developed by Felder and Soloman has been widely used in the context of engineering education to enhance both teaching and learning. However, the general statistics and reliability of its Chinese version have not been reported. In this study, we conducted a survey, and 223 students majoring in mechanical engineering at National Pingtung University of Science and Technology (NPUST), Taiwan, participated. This study involved a comparison of the learning style profiles of the students against the results of prior related research conducted in the United States. Subsequently, the internal consistency coefficients of Cronbach’s alpha were examined. The results show that the participants were active, perceptive, visual, and sequential learners, similar to their counterparts in the United States. The internal consistency coefficients on the four dimensions in ILS are 0.49, 0.59, 0.64, and 0.36, respectively. The statistics are lower or approximately equal to those of the English version ILS.

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Advanced Materials Research (Volumes 418-420)

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2143-2146

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December 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] R.M. Felder, L.K. Silverman, Learning and teaching styles in engineering education, Engineering Education. 78(7) (1998) 674-681.

Google Scholar

[2] D. Kolb, Experiential Learning, Experience as the Source of Learning and Development, Prentice-Hall, Englewood Cliffs, N.J., 1984.

Google Scholar

[3] G. Lawrence, People Types and Tiger Stripes, A Practical Guide to Learning Styles, 3rd ed., Center for Applications of Psychological Type, Gainesville, Fla, 1993.

Google Scholar

[4] T.A. Litzinger, S.H. Lee, J.C. Wise, R.M. Felder, A psychometric study of the Index Learning Styles, Journal of Engineering Education. 96(4) (2007) 309-319.

DOI: 10.1002/j.2168-9830.2007.tb00941.x

Google Scholar

[5] N. Herrmann, The Creative Brain, Brain Books, Lake Lure, N.C., 1990.

Google Scholar

[6] R. Dunn, Understanding the Dunn and Dunn Learning Styles Model and the need for individual diagnosis and prescription, Reading,Writing, and Learning Disabilities. 6(1990) 223-247.

DOI: 10.1080/0748763900060303

Google Scholar

[7] R.M. Felder, and B.A. Soloman. 1997. Index of Learning Styles questionnaire. Retrieved 18 Sept., 2011, from http://www.engr.ncsu.edu/learningstyles/ilsweb.html.

Google Scholar

[8] R.M. Felder, J. Spurlin, Applications, reliability and validity of the Index of Learning Styles, International Journal on Engineering Education. 21(1) (2005) 103-112.

Google Scholar

[9] S. Graf, S.R. Viola, T. Leo, Kinshuk, In-depth analysis of the Felder-Silverman learning style dimensions, Journal of Research on Technology in Education. 40(1) (2007) 1-15.

DOI: 10.1080/15391523.2007.10782498

Google Scholar

[10] K.P. Constant, Using multimedia techniques to address diverse learning styles in materials education, J. Matl. Education. 19(1997) 1-8.

Google Scholar

[11] D. George, P. Mallery, SPSS for Windows Step by Step: A Simple Guide and Reference. 11.0 update (4th ed.), Allyn & Bacon, Boston, 2003.

Google Scholar

[12] J.C. Nunnally, Psychometric theory (2nd ed.), McGraw-Hill, New York, 1978.

Google Scholar

[13] N. Van Zwanenberg, L.J. Wilkinson, Felder and Silverman's Index of Learning Styles and Honey and Mumford's Learning Styles Questionnaire: How do they compare and how do they predict? Educational Psychology. 20(3) (2000) 365-381.

DOI: 10.1080/713663743

Google Scholar

[14] R.M. Felder, R. Brent, Understanding student differences, Journal of Engineering Education. 94(1) (2005) 57-72.

Google Scholar