Development of Logical-Mathematical Intelligence of Primary School Students: Behavioral Study

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วิสุทธิ์ กล้าหาญ
พูลพงศ์ สุขสว่าง


         The purposes of this study were: 1) to design activities to develop the logical-mathematical intelligence basing on mathematical modelling; and 2) to study the results of using the developmental activities on the logical-mathematical intelligence of primary school students before and after using the logical-mathematical intelligence developmental activities that had been developed. The research was a behavioral study. The sample consisted of 160 grade 5 students from Watplongchangphouk School, Klaeng District, Rayong Province. The developmental activities were composed of logical- mathematical intelligence developmental activities. To study the results of using the intelligence developmental activities, the pre-test and post-test scores of the experimental and control groups were compared.

           The results were found as follows:

           1. The design of the developmental activities for development of the logical-mathematical Intelligence of primary school students was characterized by logical-mathematical Intelligence drills on the computer, constructed by using the Flash CS6 program, basing on Gardner’s Multiple Intelligences Theory.

          2. The logical-mathematical behavior of the students before and after the experiment, classified by sex and logical-mathematical characteristic level, was found to be different.


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กระทรวงศึกษาธิการ. (2551). หลักสูตรแกนกลางการศึกษาขั้นพื้นฐาน พุทธศักราช ๒๕๕๑. กรุงเทพฯ: โรงพิมพ์ชุมนุมสหกรณ์การเกษตรแห่งประเทศไทย.
สสวท. (2559). สรุปผลการวิจัยโครงการ TIMSS 2015, สถาบันส่งเสริมการสอนวิทยาศาสตร์และเทคโนโลยี, พิมพ์เผยแพร่, 33 หน้า.
Amiryousefi. M., & Dastjerdi, H. V. (2011). The Relation Between MI and Motivation and Students’ Likes and Dislikes of Course Books: A Comparison Between Interchange and Top Notch Elementary Books. Procedia - Social and Behavioral Sciences, 30, 1709-1713. doi: 10.1016/j.sbspro.2011.10.330
Armstrong, T. (2018). Multiple Intelligences in the Classroom 3rdEdition. Alexandria, Verginia USA.
Asadollahfam, H., Salimi, A., & Pashazadeh, F. M. (2012). Emotional Intelligence, Gender and Vocabulary. Procedia - Social and Behavioral Sciences, 46, 833-837. doi:10.1016 /j. sbspro.2012.05.208
Boring, A. (2017). Gender biases in student evaluations of teaching. Journal of Public Economics, 145, 27-41. doi: 10.1016/j.jpubeco.2016.11.006
Christison, M. A. (2006). Multiple intelligences and language learning: A guidebook of theory, activities, inventories, and resources. TESL-EJ, 10(1).
Cho, S., Ryali, S., Geary, D. C., & Menon, V. (2011). How does a child solve 7+ 8? Decoding brain activity patterns associated with counting and retrieval strategies. Developmental science, 14(5), 989-1001.
De Smedt, B., Verschaffel, L., & Ghesquière, P. (2009). The predictive value of numerical magnitude comparison for individual differences in mathematics achievement. J Exp Child Psychol, 103(4), 469-479.
Dubois,G,. Taylor & Francis, (2018). Modeling and Simulation, CRC Press
Eccles, J. S., & Jacobs, J. E. (1986). Social forces shape math attitudes and performance. Signs: Journal of women in culture and society, 11(2), 367-380
Edmonds, W., & Kennedy, T. (2017). An applied guide to research designs: Thousand Oaks, CA: Sage Publications, Inc.
Gardner, H. (1995). " Multiple Intelligences" as a Catalyst. The English Journal, 84(8), 16-18.
_________. (2011). Frame of mind: The theory of multiple intelligences (3rd Ed.).New York: BasicBooks.
Geary, D. C., & Hoard, M. K. (2002). Learning disabilities in basic mathematics. Mathematical cognition, 93-115.
Gebuis, T., Kadosh, R. C., de Haan, E., & Henik, A. (2009). Automatic quantity processing in 5- year olds and adults. Cognitive processing, 10(2), 133-142.
Halberda, J., & Feigenson, L. (2008). Developmental change in the acuity of the" Number Sense": The Approximate Number System in 3-, 4-, 5-, and 6- year - olds and adults. Developmental psychology, 44(5), 1457.
Holloway, I. D., & Ansari, D. (2009). Mapping numerical magnitudes onto symbols: The numerical distance effect and individual differences in children’s mathematics achievement. J Exp Child Psychol, 103(1), 17-29.
Lipnevich, A. A., Preckel, F., & Krumm, S. (2016). Mathematics attitudes and their unique contribution to achievement: Going over and above cognitive ability and personality. Learning and Individual Differences, 47, 70-79. doi: 10.1016/j.lindif.2015.12.027.
Kowal, M., Toth, A. J., Exton, C., & Campbell, M. J. (2018). Different cognitive abilities displayed by action video gamers and non-gamers. Computers in Human Behavior, 88, 255-262. doi: 10.1016/j.chb.2018.07.010
McMillan, J. H., & Schumacher, S. (2014). Research in education: Evidence-based inquiry: Pearson Higher Ed.
Mei-Ju, C., Pin-Chen, H., & Chen-Hsin, Y. (2014). Same Theory, Different Day: Inquiry into Preschool Children's Multiple Intelligence and Aesthetics Ability. Procedia - Social and Behavioral Sciences, 143, 534-541. doi: 10.1016/j.sbspro.2014.07.432
OECD. (2007). PISA 2006: Science Competencies for Tomorrow's World: Volume 1: Analysis.
Oldfield, R. C. (1971). The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia, 9(1), 97-113.
Penner, A. M., & Paret, M. (2008). Gender differences in mathematics achievement: Exploring the early grades and the extremes. Social Science Research, 37(1), 239-253.
Piazza, M. (2010). Neurocognitive start-up tools for symbolic number representations. Trends in cognitive sciences, 14(12), 542-551.
Reynolds,C.R. (2014). RAIT Reynolds Adaptationable Intelligence Test.
Roper, J. (2016). Futures intelligence: Applying Gardner to public relations. Public Relations Review, 42(2), 258-263. doi: 10.1016/j.pubrev.2015.04.005
Sasanguie, D., De Smedt, B., Defever, E., & Reynvoet, B. (2012). Association between basic numerical abilities and mathematics achievement. British Journal of Developmental Psychology, 30(2), 344-357.
Shearer, C. B., & Karanian, J. M. (2017). The neuroscience of intelligence: Empirical support for the theory of multiple intelligences?. Trends in Neuroscience and Education, 6(1), 211-223.
Sirin, S. R. (2005). Socioeconomic status and academic achievement: A meta-analytic review of research. Review of educational research, 75(3), 417-453.
Xie, Y., & Shauman, K. A. (2003). Women in science: Harvard university press.
Zadeh, Z. Y., Farnia, F., & Ungerleider, C. (2010). How home enrichment mediates the relationship between maternal education and children's achievement in reading and math. Early Education and Development, 21(4), 568-594.