USING CONTEXTUAL TASKS IN TEACHING MATHEMATICS
Keywords:
Contextual tasks, mathematics education, real-world applications, problem-solving, student engagement, critical thinking, contextualized learning.Abstract
Contextual tasks in mathematics involve using real-world problems and scenarios to teach mathematical concepts, making learning more relevant and engaging for students. This approach helps bridge the gap between abstract math concepts and their practical applications, which enhances student understanding and retention. This paper investigates the role and effectiveness of contextual tasks in mathematics education, focusing on the benefits for student engagement, comprehension, and critical thinking skills. By reviewing recent literature on contextualized learning in mathematics, this study highlights the significance of integrating real-life applications into the classroom to foster students’ problem-solving skills and interest in mathematics. Practical implications for teachers and curriculum developers are discussed to support a more effective and holistic approach to teaching mathematics.
References
National Council of Teachers of Mathematics (NCTM). (2000). Principles and Standards for School Mathematics. Reston, VA: NCTM.
Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Harvard University Press.
Dewey, J. (1938). Experience and Education. New York: Macmillan.
Boaler, J. (1998). Open and closed mathematics: Student experiences and understandings. Journal for Research in Mathematics Education, 29(1), 41-62.
Gravemeijer, K., & Doorman, M. (1999). Context problems in realistic mathematics education: A calculus course as an example. Educational Studies in Mathematics, 39(1-3), 111-129.
English, L. D., & Watson, J. M. (2013). Problem posing in elementary mathematics classrooms: Exploring student preferences. Australian Primary Mathematics Classroom, 18(4), 28-33.
Sriraman, B., & Lesh, R. (2007). Modeling in mathematics education: Research perspectives and shifts in the epistemology of mathematics. Mathematical Thinking and Learning, 9(1), 1-8.
Silver, E. A., & Smith, M. S. (1996). Building discourse communities in mathematics classrooms: A worthwhile but challenging journey. Arithmetic Teacher, 43(8), 92-95.
Hiebert, J., & Carpenter, T. P. (1992). Learning and teaching with understanding. In D. Grouws (Ed.), Handbook of Research on Mathematics Teaching and Learning (pp. 65-97). New York: Macmillan.
Cobb, P., & Bowers, J. (1999). Cognitive and situated learning perspectives in theory and practice. Educational Researcher, 28(2), 4-15.
Lesh, R., & Doerr, H. M. (2003). Beyond constructivism: Models and modeling perspectives on mathematics problem solving, learning, and teaching. Mahwah, NJ: Lawrence Erlbaum.
Schoenfeld, A. H. (1985). Mathematical problem solving. Orlando, FL: Academic Press.
Brown, A. L., & Campione, J. C. (1996). Psychological theory and the design of innovative learning environments: On procedures, principles, and systems. In L. Schauble & R. Glaser (Eds.), Innovations in Learning: New Environments for Education (pp. 289-325). Mahwah, NJ: Lawrence Erlbaum.
Kilpatrick, J., Swafford, J., & Findell, B. (Eds.). (2001). Adding it up: Helping children learn mathematics. National Academies Press.
Tzuriel, D., & Shamir, A. (2007). The effects of Peer Mediation with Young Children (PMYC) on children’s cognitive modifiability. British Journal of Educational Psychology, 77(1), 143-165.
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