Mathematical Talent Identification Model based on Multiple Criteria Approach in gifted and talented students

Document Type : Original Article

Authors

1 Ph.D.Student in Educational Psychology, Imam Reza International University, Mashhad, Iran

2 Associate Professor, Department of Psychology and Educational of Children with Special Needs, University of Isfahan, Isfahan, Iran

3 Corresponding author, Professor, Department of Educational Psychology, Allameh Tabataba’i University, Tehran, Iran

4 Associate Professor, Departments of Assessment and Measurement,Allameh Tabataba’i University, Tehran, Iran

Abstract

Aim: The purpose of this study was to investigate the structure of mathematical talent based on the proposed model developed on multiple criteria approach. According to this approach, math talent is known as an evolutionary product of the interaction of cognitive, personality and environmental characteristics of individuals. Methods:The present study was a descriptive, correlational one and Structural Equation Modeling was used for the data analysis. The study population included all students of exceptional talents middle schools, in the academic year 2018-2019, in Tehran. The required data were gathered using the online version of Wisconsin Card Sorting Test, Corsi Block-Tapping Test, Deary-Liewald Reaction Time Task, Self-Regulation Strategy Inventory, Mathematics Skills Self-Efficacy, Classroom Climate in the Mathematics Lesson, Fennema-Sherman Attitude Mathematics Scale, Test of the Three-Mathematical Minds and the first-semester math score of the students. A sample of 243 middle school students (8th grade) was selected by convenience sampling method. Results: The results showed that in this study cognitive variables had a significant effect on math talent, but the statistical effect of personality and environment variables was not confirmed. Also, the results showed that the effect of cognitive variables on environmental variables and the effect of environmental variables on personality variables were confirmed. Conclusion: Given the fact that mathematical talent is a multidimensional construct, the identification of gifted and talented students requires different tools and multiple criteria.

Keywords


Ameide, L. V. (2017). What distinguishes underachievers from highly achieving gifted children? The relationship between underachievement in gifted and typically developing children and the role of working memory and learning style in this relation. Master's thesis. Faculty of Social and Behavioural Sciences, Utrecht University, Netherlands. Retrieved from https://dspace.library.uu.nl/handle/1874/35 2751
Anghel, I. O. (2016). 4. Valorizations of Theoretical Models of Giftedness and Talent in Defining of Artistic Talent. Review of Artistic Education, 12(2), 231-239. doi:10.1515/rae-2016-0028
Arán Filippetti, V., & Richaud, M. C. (2017). A structural equation modeling of executive functions, IQ and mathematical skills in primary students: Differential effects on number production, mental calculus and arithmetical problems. Child Neuropsychology, 23(7), 864-888. doi: 10.1080/09297049.2016. 1199665
Arffa, S. (2007). The relationship of intelligence to executive function and non-executive function measures in a sample of average, above average, and gifted youth. Archives of Clinical Neuropsychology, 22(8), 969–978. doi: 10.1016/j.acn.2007.08.001
Ballam, N. D. (2013). Defying the odds: Gifted and talented young people from low socioeconomic backgrounds. Ph.D. dissertation. University of Waikato, Hamilton, New Zealand. Retrieved from https://researchcommons. waikato.ac.nz/handle/10289/8424
Bicknell, B. (2009). Who are the mathematically gifted? Students, parent and teacher perspectives. Journal of the Korea Society of Mathematical Education, 13(1), 63-73.
Borghans, L., Prevoo, T., & Schils, T. (2016). Gifted children: how to identify them?. Retrieved from http://www.academischewerkplaatsonderwijs.nl/files/8414/9120/9741/Gifted_children.pdf
Çalik, B. (2014). The Relationship between Mathematics Achievement Emotions, Mathematics Self-Efficacy, and Self-Regulated Learning Strategies among Middle School Students. Master’s thesis. Department of curriculum and instruction, the graduate school of social sciences, Middle East Technical University, Turkey. Retrieved from etd.lib.metu.edu.tr/upload/1261 7778/index.pdf.
Carman, C. A. (2013). Comparing apples and oranges: Fifteen years of definitions of giftedness in research. Journal of Advanced Academics, 24(1), 52–70. doi:10.1177/1932202X12472602
Chan, D. W. (2005). Family environment and talent development of Chinese gifted students in Hong Kong. Gifted Child Quarterly, 49(3), 211-221. doi: 10.1177/001698620504900303
Chen, P. P., Cleary, T. J., & Lui, A. M. (2015). Examining parents’ ratings of middle-school students’ academic self-regulation using principal axis factoring analysis. School Psychology Quarterly, 30(3), 385-397. doi:10.1037/spq0000098
Cleary, T. J. (2006). The development and validation of the Self-Regulation Strategy Inventory–Self-Report. Journal of School Psychology, 44(4), 307-322. doi:10.1016/j.jsp.2006.05.002.
Daniels, V. I. and McCollin, M. J. (2010). The Identification of Students with Gifts and Talents. In P. L. Peterson, E. Baker, & B. McGaw (Eds.), International encyclopedia of education (3rd ed, vol. 2, pp.870- 875). Elsevier Ltd. doi: 10.1016/b978-0-08-044894-7.01144-1
De Paula, J. J., Malloy-Diniz, L. F., & Romano-Silva, M. A. (2016). Reliability of working memory assessment in neurocognitive disorders: a study of the Digit Span and Corsi Block-Tapping tasks.