DEVELOPING MATHEMATICAL THINKERS: PRIORITIZING CONCEPTUAL LEARNING
Jonathan Brendefur, PhD
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Introduction
Teaching for conceptual understanding in mathematics focuses on helping students build a deep, connected understanding of mathematical principles, allowing them to solve problems more flexibly and transfer their knowledge to new situations. This approach contrasts with procedural understanding, which emphasizes mastering step-by-step processes or algorithms without necessarily understanding the underlying concepts. There has been a growing consensus in mathematics education that conceptual understanding should precede procedural skills, as this provides a stronger foundation for long-term learning, problem-solving, and knowledge retention.
Pressing Students Conceptually
Research in mathematics education has supported the shift toward emphasizing conceptual understanding before procedural learning. This perspective moves instructional practices beyond simply teaching algorithms and procedures. Instead, teachers are encouraged to press students to explore the relationships between different mathematical models, formalize their informal methods, and engage in higher-order thinking (Carpenter & Lehrer, 1999; NRC, 2001; Siegler & Alabali, 2004). Students can generalize new situations by comparing and connecting various solution methods, leading to deeper learning.
A key element of this instructional strategy is the creation of classroom experiences that help students integrate new knowledge into their existing mathematical framework, often referred to as schema theory in cognitive psychology. For example, when students first encounter multiplication, they can connect it to their previous understanding of addition, patterns, and area. These connections help create a web of knowledge that allows students to approach new problems more effectively. From a social learning perspective, teachers can use classroom discourse to encourage students to reflect on their mathematical models and those of their peers, which helps them build a more coherent and organized mathematical framework (Hiebert & Carpenter, 1992).
This mathematical discourse guides students to think critically about how they model problems, moving from concrete, enactive representations to more formalized iconic and symbolic models. For example, first graders might initially solve a problem with cubes, then transition to using bar models or number lines, and finally work with symbolic notations. These opportunities to connect multiple representations foster deeper understanding and move students toward fluency with abstract mathematical concepts (Brendefur & Frykholm, 2000; Moschkovich, 1999, 2012).
The Importance of Conceptual Understanding Before Procedural Knowledge
Several key reasons have been identified for prioritizing conceptual understanding before procedural knowledge in mathematics education:
Research on Conceptual and Procedural Understanding in Mathematics Education
Research strongly supports the prioritization of conceptual understanding in mathematics education. Rittle‐Johnson et al. (2001) show that students with a solid conceptual understanding can better adapt their knowledge to different problems and perform well in routine and novel mathematical situations. These studies demonstrate the iterative nature of learning, where initial conceptual understanding facilitates the acquisition of procedural skills. In contrast, teaching procedural knowledge without the underlying conceptual framework can lead to a superficial understanding of mathematics, where students may struggle to remember or apply their knowledge in different contexts.
Another critical factor highlighted in the research is the role of teachers’ conceptual understanding. Many studies have shown that teachers who lack a deep understanding of mathematical concepts tend to overemphasize procedural instruction, perpetuating a cycle of superficial learning (Hussein, 2022). Teacher preparation programs and professional development focusing on improving educators’ conceptual knowledge can profoundly impact student learning, ensuring that future generations of students are better equipped to engage meaningfully with mathematics.
Cognitive Psychology Perspective
The cognitive psychology framework supports teaching conceptual understanding first. Schema theory describes how learners organize and integrate new knowledge into their existing mental frameworks. It outlines three key processes: assimilation, accommodation, and equilibration, essential for understanding how students learn new mathematical concepts.
In mathematics education, schema theory explains why conceptual understanding should come before procedural learning. When students first build a solid conceptual framework, they are better able to assimilate new procedures and apply them meaningfully. If students are taught procedures without the underlying concepts, they may struggle to accommodate new information or adapt their procedures to new problems.
Conceptual understanding also plays a crucial role in developing procedural fluency. Research by Rittle‐Johnson et al. (2016) emphasizes that conceptual and procedural knowledge develop iteratively. Initial conceptual knowledge facilitates procedural learning, which in turn reinforces conceptual understanding. This iterative process aligns with schema theory and underscores the importance of teaching for understanding rather than simply focusing on procedural accuracy.
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Moreover, studies on working memory and cognitive load suggest that students with a strong conceptual understanding can better manage the cognitive demands of complex mathematical procedures (Gilmore et al., 2017). A solid conceptual foundation frees up cognitive resources, allowing students to focus on problem-solving rather than memorizing steps.
Conclusion
Mathematics education and cognitive psychology research strongly support the notion that teaching conceptual understanding before procedural understanding leads to more effective and meaningful learning. By fostering a deep understanding of mathematical principles, students are better equipped to engage with complex problems, transfer their knowledge to new situations, and develop the procedural fluency necessary for success in mathematics. Prioritizing conceptual understanding in mathematics education enhances students’ cognitive development and promotes long-term retention, flexible problem-solving, and deeper engagement.
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References
Brendefur, J., & Frykholm, J. (2000). The role of representation in the development of mathematical understanding. Mathematics Education Research Journal, 12(3), 5-18. https://doi.org/10.1007/BF03217363
Carpenter, T. P., & Lehrer, R. (1999). Teaching and learning mathematics with understanding. In E. Fennell (Ed.), Mathematics education: A global perspective (pp. 1-12). National Council of Teachers of Mathematics.
Gilmore, C., Attridge, N., & Cragg, L. (2017). The role of working memory in the development of mathematical skills. Cognitive Development, 43, 1–12. https://doi.org/10.1016/j.cogdev.2017.06.002
Hiebert, J., & Carpenter, T. P. (1992). Learning and teaching with understanding. In D. A. Grouws (Ed.), Handbook of research on mathematics teaching and learning (pp. 65-97).
Macmillan. Hussein, A. (2022). Conceptual knowledge and its importance in teaching mathematics. Middle Eastern Journal of Research in Education and Social Sciences, 3(1), 1–12. https://doi.org/10.47631/mejress.v3i1.445
Moschkovich, J. (1999). A situated and sociocultural perspective on learning mathematics. Mathematical Thinking and Learning, 1(3), 257-277. https://doi.org/10.1207/S15327833MTL0103_4
Moschkovich, J. (2012). Supporting students in learning mathematics through discourse. Mathematics Teacher, 105(5), 354-359. https://doi.org/10.5951/MT.105.5.0354
National Research Council (NRC). (2001). Adding it up: Helping children learn mathematics. National Academy Press.
Rittle‐Johnson, B., Siegler, R. S., & Alibali, M. W. (2001). Developing conceptual understanding and procedural skill in mathematics: An iterative process. Journal of Educational Psychology, 93(2), 346-362. https://doi.org/10.1037/0022-0663.93.2.346
Rittle‐Johnson, B., & Star, J. R. (2016). The importance of conceptual knowledge for learning mathematics. Educational Psychologist, 51(2), 145–157. https://doi.org/10.1080/00461520.2016.1155467
Siegler, R. S., & Alabali, M. W. (2004). Development of numerical understanding. In D. H. Clements & J. Sarama (Eds.), Engaging young children in mathematics: Standards for early childhood mathematics education (pp. 3–22). Lawrence Erlbaum Associates.
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1 个月Very informative!