Mathematical Thinking, Language, and Learning
Patterns in Mathematical Problem Solving
This study examines how students engage in mathematical problem solving as a nonlinear and iterative process. Through detailed analysis of students’ work and thinking, the research identifies a consistent pattern that includes problem definition, unpacking, self assessment, strategy development, revision, and validation. Students who engaged in self assessment were more likely to revise their thinking and develop stronger solutions.
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