UPSI Digital Repository (UDRep)
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UPSI Digital Repository (UDRep)
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| Abstract : Universiti Pendidikan Sultan Idris |
| The aim of this study was to explain junior high school students' metacognition with Field Independent (FI) and Field Dependent (FD) cognitive styles in mathematics problem solving. The statistical population of this study was all junior high school students in the Sragen regency in the 2018/2019 academic year. Purposive sampling was used to pick the subjects. Different instruments such as the cognitive style tests, the problem-solving exercises, and the interview guidelines were used to reach the research purpose. Moreover, time triangulation was used to ensure data validity. The data has been processed through four stages of data collection, data reduction, data presentation, and conclusion. The results indicated that the students who have field-independent cognitive styles indicated high self-confidence and the ability to solve the problem correctly. They were also able to do planning steps, make important decisions for themselves, and solve the problem properly. However, students with FD cognitive style are completely confident that their answer is correct, but they have not yet clarified the steps they need to solve their problems. They also have not yet focused on their shortcomings in mathematics problem-solving. Hence, their task results in mathematics problem-solving have incorrect answers. ? 2021. All Rights Reserved. |
| References |
Altun, A., & Cakan, M. (2006). Undergraduate students' academic achievement, field dependent/independent cognitive styles and attitude toward computers. Educational Technology and Society, 9(1), 289-297. Retrieved from www.scopus.com Anggo, M. (2011). Pelibatan metakognisi dalam pemecahan masalah matematika. Edumatica, 1, 25-32. Retrieved from www.scopus.com Azlina, N., Amin, S. M., & Lukito, A. (2018). Creativity of field-dependent and field-independent students in posing mathematical problems. Paper presented at the Journal of Physics: Conference Series, , 947(1) doi:10.1088/1742-6596/947/1/012031 Retrieved from www.scopus.com Chimuma, L. L., & Johnson, I. D. (2016). Assesing students' use of metacognition during mathematical problem solving using smartpens. Educational Research: Theory & Practice, 28, 22-36. Retrieved from www.scopus.com Creswell, J. W. (2002). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, Retrieved from www.scopus.com Darmawan, E. W., & Suparman, S. (2019). Design of mathematics learning media based on discovery learning to improve problem solving ability. Indonesian Journal on Learning and Advanced Education (IJOLAE), 1(2), 20-28. Retrieved from www.scopus.com Firdausy, A. R., Setyaningsih, N., & Waluyo, M. (2019). The contribution of student activity and learning facilities to learning independency and it’s impact on mathematics learning outcomes in junior high school. Indonesian Journal on Learning and Advanced Education (IJOLAE), 1(2), 29-37. Retrieved from www.scopus.com Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34(10), 906-911. doi:10.1037/0003-066X.34.10.906 Hooda, M., & Devi, R. (2017). Significance of cognitive style for academic achievement in mathematics. Sch Res J Humanit Sci English Lang, 4(22), 5521-5527. Retrieved from www.scopus.com Jantan, H. R. B. (2014). Relationship between students’ cognitive style (field dependent and field–independent cognitive styles) with their mathematic achievement in primary school. International Journal of Humanities Social Sciences and Education (IJHSSE), 1(10), 88-93. Retrieved from www.scopus.com Jiang, R., Liu, R. D., Star, J., Zhen, R., Wang, J., Hong, W., & Fu, X. (2020). How mathematics anxiety affects students' inflexible perseverance in mathematics problem‐solving: Examining the mediating role of cognitive reflection. british journal of educational psychology, e12364-71Kuzle, A. (2013). patterns of metacognitive behavior during mathematics problem-solving in a dynamic geometry environment. International Electronic Journal of Mathematics Education, 8(1), 20-40. Retrieved from www.scopus.com Kireeva, N., Slepenkova, E., Shipunova, T., & Iskandaryan, R. (2018). Competitiveness of higher education institutions and academic entrepreneurship. Espacios, 39(23) Retrieved from www.scopus.com Kuzle, A. (2013). Patterns of metacognitive behavior during mathematics problem-solving in a dynamic geometry environment. International Electronic Journal of Mathematics Education, 8(1), 20-40. Retrieved from www.scopus.com Parmit, S. (2009). Variation in first year college students’ understanding on their conceptions of and approaches to solving mathematical problems. Asian Journal for University Learning and Teaching, 5(1), 95-118. Retrieved from www.scopus.com Polya, G. (1957). How to Solve it, Retrieved from www.scopus.com Presmeg, N. (2014). Visualization and learning in mathematics education. Encyclopedia of Mathematics Education, , 636-640. Retrieved from www.scopus.com Radmehr, F., & Drake, M. (2017). Exploring students' mathematical performance, metacognitive experiences and skills in relation to fundamental theorem of calculus. International Journal of Mathematical Education in Science and Technology, 48(7), 1043-1071. doi:10.1080/0020739X.2017.1305129 Rahman, A., & Ahmar, A. S. (2017). Problem posing of high school mathematics student's based on their cognitive style educational process. Edu.Process: Int.J., 6(1), 7-23. Retrieved from www.scopus.com Satori, D., & Komariah, A. (2013). Metodologi penelitian kualitatif. bandung: Alfabeta. savic, M. (2016). mathematical problem-solving via wallas’ four stages of creativity: Implications for the undergraduate classroom. The Mathematics Enthusiast, 13(3), 255-278. Retrieved from www.scopus.com Singh, P., & White, A. (2006). Unpacking first year university students’ mathematical content knowledge through problem solving. Asian Journal of University Education, 2(1), 33-56. Retrieved from www.scopus.com Sudia, M., & Lambertus, L. (2017). Profile of high school student mathematical reasoning to solve the problem mathematical viewed from cognitive style. International Journal of Education and Research, 5(6), 163-174. Retrieved from www.scopus.com Sugiyono. (2009). Metodologi Penelitian Pendidikan, , 15. Retrieved from www.scopus.com Tzohar-Rozen, M., & Kramarski, B. (2014). Metacognition, motivation, and emotions: Contribution of self-regulated learning to solving mathematical problems. Global Education Review, 1(4), 76-95. Retrieved from www.scopus.com Ulya, H., Kartono, & Retnoningsih, A. (2014). Analysis of mathematics problem solving ability of junior high school students viewed from students’ cognitive style. Int.J.Educ.Res., 2(10), 577-582. Retrieved from www.scopus.com Witkin, H. A., Moore, C. A., Goodenough, D., & Cox, P. W. (1977). Field-dependent and field-independent cognitive styles and their educational implications. Review of Educational Research, 47(1), 1-64. doi:10.3102/00346543047001001 |
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