logicalmathematical

Logical-mathematical, or logical-mathematical intelligence, describes a pattern of cognitive abilities centered on logic, mathematics, and abstract reasoning. It includes pattern recognition, hypothesis testing, and the manipulation of symbolic representations. In Howard Gardner's theory of multiple intelligences, it is identified as one of the core intelligences.

Originates from Gardner's 1983 framework and encompasses deduction, induction, quantitative reasoning, and mathematical problem solving. It is commonly linked to success in mathematics, science, computer science, and engineering, and is sometimes used more broadly to describe a preference for formal logic across disciplines.

Characteristics include comfort with abstract problems, logical argumentation, data analysis, and mathematical modeling. Individuals may enjoy puzzles, programming, theoretical research, and structured task solving. They often perform well in assessments that require step-by-step reasoning and clear evidence.

Educational implications and assessment involve emphasizing problem-based learning, mathematical modeling, and evidence-based conclusions. Instruction may use tasks that foster logical reasoning, pattern recognition, and quantitative thinking. Critics note that Gardner's intelligences lack strong empirical validation and that measurement can be challenging; nevertheless, the framework can help educators recognize mathematical and logical strengths alongside other cognitive styles.