Secondary Students’ Sensory Preferences and Their Influence on Science Academic Achievement

E. Ortega-Torres, J. J. Solaz-Portolés, V. Sanjosé-López

Abstract

Evidence has been found that some students seem to have learning obstacles associated with particular sensory preferences when dealing with instructional materials. Therefore, knowing students’ sensory preferences could help teachers improve instructional resources. Our objectives were: (1) to describe Secondary students’ sensory preferences according to gender and age; (2) to analyse the possible association between students’ sensory preferences and their general academic achievement in science. We conducted a synchronic, cross-sectional descriptive study in a sample of 582 male and female students from 7th to 11th grade using the VARK questionnaire. There was a significant predominance of sensory preferences containing the Kinesthetic mode, and the preferences containing the Visual mode were the least frequent. Girls or boys showed similar distributions of sensory preferences. Using linear regression to predict students’ general academic achievement from VARK scores, we obtained a significant contribution of the Kinesthetic score, and a minor but still significant single contribution of the Reading/Writing score.  

Keywords

academic achievement; science education; secondary students; sensory preferences

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References

Akbulut, Y., & Cardak, C. S. (2012). Adaptive educational hypermedia accommodating learning styles: A content analysis of publications from 2000 to 2011. Computers & Education, 58(2), 835-842.

Arbuthnott, K. D., & Krätzig, G. P. (2015). Effective teaching: Sensory learning styles versus general memory processes. Comprehensive Psychology, 4, 06-IT.

Awang, H., Abd Samad, N., Faiz, N. M., Roddin, R., & Kankia, J. D. (2017). Relationship between the learning styles preferences and academic achievement. In IOP Conference Series: Materials Science and Engineering (Vol. 226, No. 1, p. 012193). IOP Publishing.

Ballen, C. J., Wieman, C., Salehi, S., Searle, J. B., & Zamudio, K. R. (2017). Enhancing diversity in undergraduate science: Self-efficacy drives performance gains with active learning. CBE—Life Sciences Education, 16(4), Article 56.

Bandura, A. (2012). On the Functional Properties of Perceived Self-Efficacy Revisited. Journal of Management, 38(1), 9–44.

Bovill, C., & Bulley, C. J. (2011). A Model of Active Student Participation in Curriculum Design: Exploring Desirability and Possibility. In C. Rust (Ed.), Improving Student Learning Global Theories and Local Practices: Institutional, Disciplinary and Cultural Variations (pp. 176-188). Oxford, UK: The Oxford Centre for Staff and Educational Development.

Breckler, J., Joun, D., & Ngo, H. (2009). Learning styles of physiology students interested in the health professions. Advances in Physiology Education, 33(1), 30-36.

Cassidy, S. (2004). Learning styles: An overview of theories, models, and measures. Educational Psychology, 24(4), 419-444.

Dekker, S., Lee, N. C., Howard-Jones, P., & Jolles, J. (2012). Neuromyths in education: Prevalence and predictors of misconceptions among teachers. Frontiers in Psychology, 3, 429.

Ding, Y., Liu, J., Ruan, H., & Zhang, X. (2012). Learning preferences to physiology of undergraduate students in a Chinese medical school. I.J. Education and Management Engineering, 2(2), 1-5.

Dobson, J. L. (2009). Learning style preferences and course performance in an undergraduate physiology class. Advances in physiology education, 33(4), 308-314.

El Tantawi, M. M. (2009). Factors affecting postgraduate dental students’ performance in a biostatistics and research design course. Journal of Dental Education, 73(5), 614-623.

Fleming, N. D. (2011). Teaching and learning styles: VARK strategies. IGI global.

Fleming, N. D., & Mills, C. (1992). Not another inventory, rather a catalyst for reflection. To Improve the Academy, 11(1), 137-155.

Horton, D. M., Wiederman, S. D., & Saint, D. A. (2012). Assessment outcome is weakly correlated with lecture attendance: influence of learning style and use of alternative materials. Advances in Physiology Education 36(2), 108-115.

Hsieh, S. W., Jang, Y. R., Hwang, G. J., & Chen, N. S. (2011). Effects of teaching and learning styles on students’ reflection levels for ubiquitous learning. Computers & education, 57(1), 1194-1201.

Ishartono, N., Faiziyah, N., Sutarni, S., Putri, A. B., Fatmasari, L. W., Sayuti, M., Rahmaniati, R., & Yunus, M. M. (2021). Visual, Auditory, and Kinesthetic Students: How They Solve PISA-Oriented Mathematics Problems?. Journal of Physics: Conference Series, 1720 (1), 012012.

Kharb, P., Samanta, P. P., Jindal, M., & Singh, V. (2013). The learning styles and the preferred teaching—learning strategies of first year medical students. Journal of Clinical and Diagnostic Research, 7(6), 1089-1092.

Kurilovas, E., Zilinskiene, I., & Dagiene, V. (2015). Recommending suitable learning paths according to learners’ preferences: Experimental research results. Computers in Human Behavior, 51, 945-951.

Leasa, M., & Batlolona, J. F. (2016). Learning style preferences in sixth grade of elementary school. In Proceedings of 7th International Conference on Educational Technology of Adi Buana.

Lehman, M. E. (2011). Relationships of learning styles, grades, and instructional preferences. NACTA Journal, 55(2), 40-45.

Leite, W. L., Svinicki, M., & Shi, Y. (2010). Attempted validation of the scores of the VARK: Learning styles inventory with multitrait–multimethod confirmatory factor analysis models. Educational and Psychological Measurement, 70(2), 323-339.

Lin, T. J., & Tsai, C. C. (2013). An investigation of Taiwanese high school students’ science learning self-efficacy in relation to their conceptions of learning science. Research in Science & Technological Education, 31(3), 308-323.

Mayer, R. E. (2005). The Cambridge Handbook of Multimedia Learning. New York, USA: Cambridge University Press.

Ortega-Torres, E., Solaz-Portolés, J. J., & Sanjosé López, V. (2020a). Adequacy of science instructional resources to students’ sensory preferences: An exploratory study in secondary education. Revista Complutense De Educación, 31(4), 473-484.

Ortega-Torres, E., Solaz Portolés, J. J. L., & López Sanjosé, V. (2020b). Secondary students’ VARK sensory preferences in science learning: Are they reliable?. Periódico Tchê Química, 17(36), 440-456.

Osborne, J. (2014) Teaching Scientific Practices: Meeting the Challenge of Change. Journal of Science Teacher Education, 25(2), 177-196.

Pishghadam, R., Jajarmi, H., & Shayesteh, S. (2021). Sense combinations influence the neural mechanism of L2 comprehension in semantically violated sentences: Insights from emotioncy. Journal of Neurolinguistics, 58, 100962.

Prithishkumar, I. J., & Michael, S. A. (2014). Understanding your student: using the VARK model. Journal of Postgraduate Medicine, 60(2), 183-186.

Rahadian, R. B., & Budiningsih, C. A. (2018). What are The Suitable Instructional Strategy and Media for Student Learning Styles in Middle Schools? International Journal on Integrating Technology in Education (IJITE), 6(4), 25-39.

Ramirez, B. U. (2011). The sensory modality used for learning affects grades. Advances in Physiology Education, 35(3), 270-274.

Sha, L., Schunn, C., Bathgate, M., & Ben-Eliyahu, A. (2016). Families support their children’s success in science learning by influencing interest and self-efficacy. Journal of Research in Science Teaching, 53(3), 450-472.

Shanmugam, K., & Balakrishnan, B. (2019). Motivation in Information Communication and Technology-based science learning in Tamil schools. Jurnal Pendidikan IPA Indonesia, 8(1), 141-152.

Shrestha, A., Marla, V., Shrestha, S., & Rimal, J. (2020). Learning preferences of undergraduate dental students using VARK analysis. Journal of Kathmandu Medical College, 9(4), 207-212.

Silva, R., & Andrade, A. (2009). Development of a Web Application for Management of Learning Styles. Journal of Universal Computer Science, 15(7), 1508-1525.

Soodmand Afshar, H. & Bayat, M. (2018). Strategy use, learning styles and L2 achievement of Iranian students of English for academic purposes. Issues in Educational Research, 28(4), 1039-1059.

Urval, R. P., Kamath, A., Ullal, S., Shenoy, A. K., Shenoy, N., & Udupa, L. A. (2014). Assessment of learning styles of undergraduate medical students using the VARK questionnaire and the influence of sex and academic performance. Advances in Physiology Education, 38(3), 216-220.

Urdan, T., & Schoenfelder, E. (2006). Classroom effects on student motivation: Goal structures, social relationships, and competence beliefs. Journal of School Psychology, 44(5), 331-349.

Wan, Z. H. (2021). Exploring the effects of intrinsic motive, utilitarian motive, and self-efficacy on students’ science learning in the classroom using the expectancy-value theory. Research in Science Education, 51, 647–659.

Wang, T. L., & Tseng, Y. K. (2015). Do thinking styles matter for science achievement and attitudes toward science class in male and female elementary school students in Taiwan? International Journal of Science and Mathematics Education, 13(3), 515-533.

Willingham, D.T., Hughes, E.M., & Dobolyi, D.G. (2015). The scientific status of learning styles theories. Teaching of Psychology, 42(3), 266–271.

Wright, S. & Stokes, A. (2015). The application of VARK learning styles in introductory level economics units. Issues in Educational Research, 25(1), 62-79.

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