Tajina Bintay
University of Dhaka

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Behaviorism, Cognitivism, and Constructivism: Implications for Mathematics Learning Tajina Bintay; Parama Chaborty
SMARTH: Journal of Mathematics Education and Learning Vol. 2 No. 2: October 2026
Publisher : CV. Ihsan Cahaya Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66031/smarth.v2i2.737

Abstract

This study critically examines the complementary contributions of behaviorism, cognitivism, and constructivism to mathematics learning through an integrative literature review using a qualitative-conceptual approach. The analysis focused on four dimensions: theoretical foundations, learning mechanisms, pedagogical implications, and empirical support in mathematics education. The synthesis reveals fundamental differences in how the three perspectives conceptualize learning and knowledge formation. Behaviorism explains learning through observable behavioral change shaped by stimulus–response relations, practice, reinforcement, and feedback, making it particularly relevant to procedural accuracy and fluency. Cognitivism emphasizes mental processing, prior knowledge, information organization, conceptual formation, representation, and knowledge reorganization, offering a stronger account of conceptual understanding and strategic thinking. Constructivism emphasizes the construction and reconstruction of meaning through experience, exploration, interaction, negotiation, and reflection. The findings indicate that no single perspective sufficiently explains the multidimensional character of mathematics learning. Their pedagogical integration should therefore be selective and function-based rather than eclectic, aligning theoretical principles with learning objectives, mathematical knowledge, task demands, and cognitive processes. This study contributes a critical conceptual synthesis positioning the three theories as functionally differentiated yet complementary foundations for mathematics instruction that connects procedural fluency, conceptual understanding, reasoning, representation, and adaptive problem solving.