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Correlational Analysis between Brain Dominances and Multiple Intelligences

Authors: Rajeev Sukumaran, Lakshmi Dhandabani

Abstract:

Aim of this research study is to investigate and establish the characteristics of brain dominances (BD) and multiple intelligences (MI). This experimentation has been conducted for the sample size of 552 undergraduate computer-engineering students. In addition, mathematical formulation has been established to exhibit the relation between thinking and intelligence, and its correlation has been analyzed. Correlation analysis has been statistically measured using Pearson’s coefficient. Analysis of the results proves that there is a strong relational existence between thinking and intelligence. This research is carried to improve the didactic methods in engineering learning and also to improve e-learning strategies.

Keywords: Data Analysis, Dynamic Equilibrium, mathematical model, Thinking style assessment, correlational analysis

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1107367

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References:


[1] David Yun Dai, “Reductionism versus Emergentism: A framework for understanding conceptions of giftedness,” Roeper Review, vol. 27, pp.144-151, 2005. doi: 10.1080/02783190509554308.
[2] C. Spearman, “General Intelligence, Objectively Determined and Measured,” American Journal of Psychology, vol. 15, pp. 201-293, 1904. doi:10.2307/1412107
[3] Thurstone, L. L, “Multiple-Factor Analysis,” Journal of Clinical Psychology, vol. 4, pp. 25-42, 1947. doi: 10.1002/1097- 4679(194804)4:2<224::AID-JCLP2270040225>3.0.CO;2-7
[4] Sternberg, R.J, “Beyond IQ: A Triarchic Theory of Human Intelligence”. NewYork: Cambridge University Press. 10-32, 1985.
[5] Gardner H. and Hatch T, “Educational implications of the theory of multiple intelligences,” Education Researcher, vol. 18, pp. 4-10, 1989. doi: 10.3102/0013189X018008004
[6] Karl Openshaw and Celia B. Stendler, “Aspects of Piaget’s Theory That Have Implications for Teacher Education,” Journal of Theacher Education, vol. 16, pp. 329-335, 1965. doi: 10.1177/002248716501600316
[7] Katherine Benziger, “The BTSA User Manual: A Guide to the Development, Validation and Use of the Benziger Thinking Styles”, BookSurge Publishing, Edition 3, pp. 20-30, 2010.
[8] Bostrom N, Sandberg A, “Cognitive enhancement: methods, ethics, regulatory challenges,” Springer, vol. 15, pp. 311-41, 2009. doi: 10.1007/s11948-009-9142-5
[9] Bloom, B.S, “Stability and Change in Human Characteristics”. New York: Wiley, 1964.
[10] Yingxu Wang, Ying Wang, Shushma Patel and Dilip Patel, “A Layered Reference Model of the Brain (LRMB)”. IEEE Transactions on systems, Man, and Cybernetics – Part C: Applications and Reviews, vol. 36, 2006. doi: 10.1109/TSMCC.2006.871126
[11] Yingxu Wang, Dong Liu and Ying Wang, “Discovering the Capacity of Human Memory,” Brain and Mind, vol. 4, pp. 189-198, 2003.
[12] Perlovsky, L.I, “Model-based neural network for pattern recognition,” Proceedings of the World Congress on Neural Networks, pp. 380–383, 1996.
[13] Yingxu Wang, “The Theoretical Framework and Cognitive Process of Learning,” Proc. 6th IEEE Int. Conf. on Cognitive Informatics, 2007.
[14] Beth A. Visser, Michael C. Ashton, Philip A. Vernon, “g and measurement of Multiple Intelligences: A response to Gardener. Intelligence,” Elsevier, vol. 34, pp. 507-510, 2006. doi:10.1016/j.intell.2006.04.006
[15] Jonathan Interton, “Typology of Knowledge, skills and competencies: clarification of the concept and prototype”, Luxembourg Official Publications, Europe, pp. 6-7, 2006.
[16] Neisser, U., Boodoo, G., Bouchard, T. J., Jr., Boykin, A. W., Brody, N., Ceci, S. J., Urbina, S, “Intelligence: Knowns and unknowns,” American Psychologist, vol. 51, pp. 77–101, 1996. doi:10.1037/0003-066X.51.2.77.
[17] Donald Borrett, Sean Kelly and Hon Kwan, “Phenomenology, dynamical neural networks and brain function,” Philophical Psychology, vol. 13, pp. 213-228, 2000. doi: 10.1080/09515080050075690
[18] Hicklin, W. J, “A model for mastery learning based on dynamic equilibrium theory,” Journal of Mathematical Psychology, vol. 13, pp. 79-88, 1976. doi:10.1016/0022-2496(76)90035-3
[19] http://ekluvya.adithyatech.edu.in
[20] Richard E. Nisbett, Joshua Aronson and Clancy Blair, William Dickens, James Flynn, Diane F. Halprn, Eric Turkheimer, “Intelligence - New Findings and Theoretical Developments,” American Psychologist, vol. 67, pp. 130-159, 2012. doi: 10.1037/a0026699
[21] McEwen, B. S, “The neurobiology of stress: From serendipity to clinical relevance,” Brain Research, vol. 886, pp. 172–189, 2000. doi:10.1016/S0006- 8993(00)02950-4.