Metacognition and Mathematical Problem-solving: An Empirical Investigation into Series Problems with Junior High School Students

Authors

  • Yin Zhao School of Educational Studies, Universiti Sains Malaysia, Penang Malaysia
  • Salmiza Saleh School of Educational Studies, Universiti Sains Malaysia, Penang

DOI:

https://doi.org/10.22219/mej.v9i1.39924

Abstract

his empirical study examines the critical relationship between metacognitive skills and mathematical problem-solving performance through a focused case study on series summation problems. Conducted with 50 seventh-grade students, the research involved a structured online lecture covering rational number series and algebraic transformations, followed by two problem-solving tasks and a detailed metacognitive questionnaire aligned with Polya’s four-phase framework. Results demonstrated a significant disparity: while all students (100%) successfully solved the initial summation problem , only 29 students (58%) correctly solved the more complex squared summation problem . Analysis of the metacognitive questionnaire revealed pronounced differences in strategy use. Students solving both problems successfully reported significantly higher engagement in metacognitive behaviors: reading problems multiple times (72.4% vs. overall 42%), schematic representation (100% vs. 78%), strategic planning (100% vs. 78%), solution monitoring (86%), and calculation verification (100% vs. 90%). Statistical analysis confirmed strong positive correlations between these specific metacognitive strategies and successful problem-solving outcomes. The study robustly concludes that explicit metacognitive strategy deployment, particularly in problem representation, planning, and evaluation, is a decisive factor in successful mathematical problem-solving, especially for non-routine tasks. These findings underscore the imperative for systematic integration of metacognitive skill development within secondary mathematics curricula to enhance students' conceptual understanding and transfer abilities.

Downloads

Download data is not yet available.

References

Biryukov, P. (2004). Metacognitive Aspects of Solving Combinatorics Problems. International Journal for Mathematics Teaching and Learning. http://www.cimt.org.uk/journal/biryukov.pdf

Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of Educational Objectives: The Classification of Educational Goals. Handbook 1: Cognitive Domain. New York: David McKay Company.

Desoete, A., Roeyers, H., & Buysse, A. (2001). Metacognition and Mathematical Problem Solving in Grade 3. Journal of Learning Disabilities, 34(5), 435–447.

Flavell, J. H. (1979). Metacognition and Cognitive Monitoring: A New Area of Cognitive-Developmental Inquiry. American Psychologist, 34(10), 906–911.

Fortunato, I., Hecht, D., Tittle, C. K., & Alvarez, L. (1991). Metacognition and Problem Solving. The Arithmetic Teacher, 39(4), 38–40.

Gagné, R. M. (1968). Learning Hierarchies. Educational Psychologist, 6(1), 1–9.

Jacobs, J. E., & Paris, S. G. (1987). Children’s Metacognition About Reading: Issues in Definition, Measurement, and Instruction. Educational Psychologist, 22(3 & 4), 255–278.

Lester, F. K. (1994). Musings about Mathematical Problem-Solving Research: 1970-1994. Journal for Research in Mathematics Education, 25(6), 660–675.

Mayer, R. E. (2001). Cognitive, Metacognitive, and Motivational Aspects of Problem Solving. In H. J. Hartman (Ed.), Metacognition in Learning and Instruction (pp. 87–101). Kluwer Academic Publishers.

Niss, M. (Ed.). (1988). Proceedings of the Sixth International Congress on Mathematical Education (ICME-6).

Pólya, G. (1957). How to Solve It: A New Aspect of Mathematical Method (2nd ed.). Princeton University Press.

Schneider, W., & Artelt, C. (2010). Metacognition and Mathematics Education. ZDM Mathematics Education, 42, 149–161.

Schoenfeld, A. H. (1983). The Wild, Wild, Wild, Wild, Wild World of Problem Solving (A Review of Sorts). For the Learning of Mathematics, 3(3), 40–47.

Sengul, S., & Katranci, Y. (2012). Metacognitive Aspects of Solving Function Problems. Procedia - Social and Behavioral Sciences, 46, 2178–2182.

Sternberg, R. J., & Gardner, M. K. (1983). Unities in Inductive Reasoning. Journal of Experimental Psychology: General, 112(1), 80–116.

Downloads

Published

2025-07-16