Research article | Open Access
Journal of Educational Studies in Science and Mathematics 2023, Vol. 2(1) 1-14
Middle School Students' Metacognitive Attitude in Problem Solving, Metacognition, and Mathematical Literacy Self-Efficacy
pp. 1 - 14 | DOI: https://doi.org/10.29329/jessm.2023.618.1
Publish Date: December 15, 2023 | Single/Total View: 62/579 | Single/Total Download: 85/852
Abstract
This study examined the metacognitive attitudes in problem-solving, metacognition, and mathematical literacy self-efficacy of middle school students. A survey model, one of the descriptive research methods of the quantitative method, was used in the research. The research was conducted with 374 middle school students studying in three middle schools in the Southeastern Anatolia region. The 'Metacognitive Attitude Scale in Problem Solving', the 'Metacognition Scale', and the 'Mathematical Literacy Self-Efficacy Scale' were used as data collection tools in the research. The results showed no statistically significant mean difference in the metacognitive attitudes in problem-solving, metacognition, and mathematical literacy self-efficacy between boys and girls or among different grade levels. The research provides valuable insights into the metacognitive abilities and attitudes of middle school students, which can inform future educational strategies and interventions.
Keywords: Metacognitive Attitude, Metacognition, Mathematical Literacy, Middle School
APA 7th edition
Sevgi, S., & Alpaslan, A.N. (2023). Middle School Students’ Metacognitive Attitude in Problem Solving, Metacognition, and Mathematical Literacy Self-Efficacy. Journal of Educational Studies in Science and Mathematics, 2(1), 1-14. https://doi.org/10.29329/jessm.2023.618.1
Harvard
Sevgi, S. and Alpaslan, A. (2023). Middle School Students’ Metacognitive Attitude in Problem Solving, Metacognition, and Mathematical Literacy Self-Efficacy. Journal of Educational Studies in Science and Mathematics, 2(1), pp. 1-14.
Chicago 16th edition
Sevgi, Sevim and Aysegul Nisa Alpaslan (2023). "Middle School Students’ Metacognitive Attitude in Problem Solving, Metacognition, and Mathematical Literacy Self-Efficacy". Journal of Educational Studies in Science and Mathematics 2 (1):1-14. https://doi.org/10.29329/jessm.2023.618.1
- Akay, H., Soybaş, D., and Argün, Z. (2006). Problem posing experiences and using open-ended questions in mathematics teaching. Kastamonu Eğitim Dergisi, 14(1), 129-146. [Google Scholar]
- Altun, M. (2006). Matematik öğretiminde gelişmeler. Uludağ Üniversitesi Eğitim Fakültesi Dergisi, 19(2), 223-238. [Google Scholar]
- Altun, M., Gümüş, N. A., Akkaya, R., Bozkurt, I., and Ülger, T. K. (2018). Investigation of mathematics literacy skill levels of eighth grade students. Journal of Science, Mathematics, Entrepreneurship and Technology Education, 1(1), 66-88. [Google Scholar]
- Aşık, G. (2015). A design study on metacognitive training in problem solving [Unpublished doctoral dissertation]. Marmara University. [Google Scholar]
- Baypınar, K., and Tarım, K. (2019). The development of mathematical literacy self-efficacy scale for middle school: A reliability and validity study. Cukurova University Faculty of Education Journal, 48(1), 878-909. https://doi.org/10.14812/cuefd.415291 [Google Scholar] [Crossref]
- Bolstad, O. H. (2021). Lower secondary students’ encounters with mathematical literacy. Mathematics Education Research Journal, 35, 237–253. https://doi.org/10.1007/s13394-021-00386-7 [Google Scholar] [Crossref]
- Borromeo Ferri, R. (2007). Personal experiences and extra-mathematical knowledge as an influence factor on modelling routes of pupils. In D. Pitta-Pantazi & C. Philippou (Eds.), European Research in Mathematics Education V: Proceedings of the Fifth Congress of the European Society for Research in Mathematics Education (pp. 2080–2089). University of Cyprus. [Google Scholar]
- Çetinkaya, P., and Erktin, E. (2002). Assessment of metacognition and its relationship with reading comprehension, achievement, and aptitude. Boğaziçi Üniversitesi Eğitim Dergisi, 19(1), 1-11. [Google Scholar]
- Ferri, R. B. (2007). Personal experiences and extra-mathematical knowledge as an influence factor on modelling routes of pupils. Proceedings of CERME-5, WG 13 Modelling and Applications, 2080-2089. [Google Scholar]
- Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American Psychologist, 34(10), 906–911. https://doi.org/10.1037/0003-066X.34.10.906 [Google Scholar] [Crossref]
- Fraenkel, J. R., and Wallen, N. E. (2006). How to design and evaluate research in education. (6th ed.). New York: McGraw-Hill International Edition. [Google Scholar]
- Freudenthal, H. (1991). Revisiting mathematics education. Dordrecht: Kluwer. [Google Scholar]
- Geiger, V., Goos, M., and Forgasz, H. (2015). A rich interpretation of numeracy for the 21st century: a survey of the state of the field. ZDM Mathematics Education, 47(4), 531–548. https://doi.org/10.1007/ s11858-015-0708-1 [Google Scholar] [Crossref]
- Gravemeijer, K. (1997). Solving word problems: A case of modelling?. Learning and Instruction, 7(4), 389-397. [Google Scholar]
- Ministery of National Education (MoNE) (2018). Matematik dersi (1, 2, 3, 4, 5, 6, 7 ve 8. sınıflar) öğretim programı. Ankara. Millî Eğitim Basımevi. [Google Scholar]
- NCTM. (1989). Curriculum and evaluation standards for school mathematics. Reston, VA: NCTM Publications. [Google Scholar]
- NCTM (2000). Principals and standards for school mathematics. Reston, VA: National Council of Teachers of Mathematics Publications. [Google Scholar]
- Olkun, S., Sahin, Ö., Akkurt, Z., Dikkartin, F. T., and Gülbagci, H. (2009). Problem solving and generalization through modeling: A study on elementary school students. Education and Science, 34(151), 65. [Google Scholar]
- Pape, Stephen J., and Wang, C. (2003). Middle school children’s strategic behavior: Classification and relation to academic achievement and mathematical problem solving. Instructional Science, 31, 419–449 [Google Scholar]
- Pesen, C. (2008). Yapılandırmacı öğrenme yaklaşımına göre matematik öğretimi. Ankara: Pegem A Yayıncılık. [Google Scholar]
- Schoenfeld, A. (1992). Learning to think mathematically: Problem solving, metacognition, and sense making in mathematics. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp. 334–370). Macmillan: New York. [Google Scholar]
- Schukajlow, S., Krug, A., and Rakoczy, K. (2015). Effects of prompting multiple solutions for modelling problems on students' performance. Educational Studies in Mathematics, 89(3), 393-417. https://doi.org/10.1007/s10649-015- 9608-0 [Google Scholar] [Crossref]
- Selden, A., Selden, J., Hauk, S., and Mason, A. (1999). Do calculus students eventually learn to solve non-routine problems? Retrieved from http://www.math.tntech.edu/techreports/TR_1999_5.pdf [Google Scholar]
- Tabachnick, B. G., and Fidell, L. S. (2013). Using multivariate statistics (6th ed.) Pearson, Boston. [Google Scholar]
- Yıldırım, A., and Şimşek, H. (2018). Sosyal bilimlerde nitel araştırma yöntemleri. Ankara: Seçkin Yayıncılık. [Google Scholar]
- Yildiz, E., Akpinar, E., Tatar, N., and Ergin, O. (2009). Exploratory and confirmatory factor analysis of the metacognition scale for primary school students. Educational Sciences: Theory and Practice, 9(3), 1591-1604. [Google Scholar]
