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Related Concept Videos

Reasoning01:30

Reasoning

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Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
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Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
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Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Cognitive-behavioral therapies (CBTs) are grounded in the belief that our thoughts profoundly influence our emotions and actions. Advocates of CBT emphasize three core assumptions: first, that cognitions are identifiable and measurable; second, that they are central to psychological functioning; and third, that irrational or maladaptive beliefs can be replaced with rational and adaptive ones. This transformative approach to therapy has paved the way for specific models such as Albert...
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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Relational Reasoning and Educational Applications.

Lindsey Engle Richland1, Hongyang Zhao2

  • 1School of Education, University of California, Irvine, Irvine, CA 92697, USA.

Behavioral Sciences (Basel, Switzerland)
|February 27, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Enhancing relational reasoning skills is crucial for youth navigating complex global changes. This research synthesizes literature to offer practical strategies for improving students

Keywords:
analogylearningrelational reasoning

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Area of Science:

  • Cognitive Science
  • Educational Psychology
  • Developmental Science

Background:

  • Rapid global shifts necessitate evolving educational goals for skilled employment.
  • Relational reasoning is key to addressing complex, multifaceted problems.
  • This cognitive skill underpins higher-order thinking, problem-solving, and innovation.

Purpose of the Study:

  • To synthesize theoretical and foundational literature on relational reasoning.
  • To identify practical strategies for enhancing students' reasoning skills.
  • To promote equitable access to complex thinking and reasoning development for all students.

Main Methods:

  • Literature synthesis of theoretical and foundational research on relational reasoning.
  • Identification and categorization of implementable educational practices.
  • Focus on strategies applicable across diverse student populations.

    • Main Results:

    • Relational reasoning involves making inferences from relationships within and between mental representations.
    • Key practices include training students to identify relational correspondences.
    • Utilizing visual stimuli and language aids in making connections and reducing cognitive load.

    Conclusions:

    • Educational strategies can effectively enhance students' relational reasoning abilities.
    • Accessible methods exist to foster complex thinking and problem-solving skills.
    • Developing these skills is vital for preparing youth for future societal and economic demands.