Development of Brain Based Intervention Model for Learning Acceleration of Children at Early Elementary Level
DOI:
https://doi.org/10.61841/8k8bb114Keywords:
Brain-based intervention,, Learning acceleration, Cooperative learning,, Practical Simulation,, Problem Solving.Abstract
The study aimed to develop a brain based intervention model for the learning acceleration of children at early elementary level. A counter balance experimental design was adopted for the study. Total 180 6th graders were selected from 3 different schools, N=60 from each school, taking all elementary school students of Province Punjab as the population of the study. The schools were randomly selected from three areas; urban, suburban and rural areas. In each school, 60 students were distributed in two equal groups of 30 each. The experimental group in each school was taught using three types of activities (cooperative Learning, Practical Simulation, and Problem solving separately) and the control group of thirty students were taught with conventional method. After three months, all experimental groups were given alternative treatments. Another session of three months was taken with the three type of activities alternatively. Cumulatively each experimental group was taught with each strategy but with different sequence. All sessions were pre and post tested including three control groups. The activities were developed from the twelve chapters of General science book of grade 6. Total period of experiment was nine months consisting of three phases of three months. The study found positive affect of cooperative learning, practical simulation and problem solving on students’ academic achievement. The study has implications for the use of brain based acceleration strategies to enhance early elementary students learning.
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1. Abd-El-Khalick, F., & Lederman, N. G. . (2000). Improving science teachers' conceptions of nature of science: a critical review of the literature. International journal of science education, 22(7), 665-701.
2. Alonzi, P., Lange, D. R., &Simkins, B. J. (2000). An Innovative Approach in Teaching Futures: A Participatory Futures Trading Simulation. Financial Practice & Education, 10(1), 228-238.
3. Cain, C. (1991). Personal Stories: Identity acquisition and self‐understanding in Alcoholics Anonymous. Ethos, 19(2), 210-253.
4. Connell, J. D. (2018). The Global Aspects of Brain-Based Learning: Educational Horizons. Research- based Education: The Global Case, 88(1), 28-39.
5. Deng, H., Stauffer, P. H., Dai, Z., Jiao, Z., &Surdam, R. C. (2012). Simulation of industrial-scale CO2 storage: Multi-scale heterogeneity and its impacts on storage capacity, injectivity and leakage. International Journal of Greenhouse Gas Control, 10, 397-418.
6. Duman, C. H. (2010). Models of depression. In Vitamins & Hormones Academic Press, 82, 1-21.
7. Erlauer, L. (2003). The brain-compatible classroom: Using what we know about learning to improve teaching. ASCD.
8. Gozuyesil, E., &Dikici, A. . (2014). The Effect of Brain Based Learning on Academic Achievement: A Meta-Analytical Study. Educational Sciences: Theory and Practice, 14(2), 642-648.
9. Hedeen, T. (2003). The reverse jigsaw: A process of cooperative learning and discussion. Teaching Sociology, 31(3), 325-332.
10. Hsiung, C. M. (2012). The effectiveness of cooperative learning. Journal of Engineering Education, 101(1), 119-137.
11. Jazariyah. (2017). Signifikansi Brain Based Learning PendidikanAnakUsia Dini. Nadwa | JurnalPendidikan Islam, 11(1).
12. Kirtikar, R. (2013). A Problem-Solving Approach for Science Learning. New Perspectives in Science Education.
13. Kolon, T. F., Clement, M. R., Cartwright, L., Bellah, R., Carr, M. C., Canning, D. A., & Snyder III, H.
M. (2008). Transient asynchronous testicular growth in adolescent males with a varicocele. The Journal of urology, 180(3), 1111-1115.
14. Lean, J., Moizer, J., Towler, M., & Abbey, C. . (2006). Simulations and games: Use and barriers in higher education. Active learning in higher education, 7(3), 227-242.
15. Malik, M. A., Hussain, S., Iqbal, Z., & Rauf, M. (2012). Effectiveness of Brain-Based Learning Theory on Secondary Level Students of Urban Areas. Journal of Managerial Sciences,, 6(1).
16. Meador, K. J., Loring, D. W., Hulihan, J. F., Kamin, M., Karim, R., & CAPSS-027 Study Group. (2003). Differential cognitive and behavioral effects of topiramate and valproate. Neurology, 60(9), 1483-1488.
17. Mérel, P. R., Saitone, T. L., & Sexton, R. J. (2009). Cooperatives and Quality-Differentiated Markets: Strengths, Weaknesses, and Modeling Approaches. Journal of Rural Cooperation, 37(2).
18. Porter, T. S., Riley, T. M., &Ruffer, R. L. . (2004). A review of the use of simulations in teaching economics. Social science computer review, 22(4), 426-443.
19. Prince, M. J., & Felder, R. M. (2006). Inductive teaching and learning methods: Definitions, comparisons, and research bases. Journal of engineering education, 95(2), 123-138.
20. Sauvé, L., Renaud, L., & Kaufman, D. (2010). Games, simulations, and simulation games for learning: definitions and distinctions. In Educational gameplay and simulation environments: Case studies and lessons learne. IGI Global, 1-26.
21. Siercks, A. (2012). Understanding and achieving brain-based instruction in the elementary classroom a qualitative study of strategies used by teachers. Retrieved from http://stars.library.ucf.edu/honorstheses1990-2015/1372
22. Slavin, R. E., Hurley, E. A., & Chamberlain, A. . (2003). Cooperative learning and achievement: Theory and research. Handbook of psycholog, 177-198.
23. Subadi, T., Khotimah, R. P., & Sutarni, S. (2013). A Lesson Study as a Development Model of Professional Teachers. International Journal of Education, 5(2), 101-114.
24. Tafti, M. A., &Kadkhodaie, M. S. . (2017). The Effects of Brain-Based Training on Learning and Retention of Life Skills in Adolescents. International Journal of Behavioral Sciences, 10(3), 140-144.
25. Tandogan, R. O., &Orhan, A. (2007). The Effects of Problem-Based Active Learning in Science Education on Students' Academic Achievement, Attitude and Concept Learning. Online Submission, 3(1), 71-81.
26. Van de Vrande, V., De Jong, J. P., Vanhaverbeke, W., & De Rochemont, M. . (2009). Open innovation in SMEs: Trends, motives and management challenge. Technovation, 29(6423-437).
27. Varghese, M. G., & Pandya, S. (2016). A study on the effeciveness of brain-based learning of students od secondary level on their academic achievement in Biology, study habits and stress. International Journal of Humanities and Social Sciences (IJHSS), 5(2), 103-122.
28. Yasar, M. D. (2017). Brain Based Learning in Science Education in Turkey: Descriptive Content and Meta-Analysis of Dissertation. Journal of Education and Practice, 8(9), 161-168.
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