Name: reasoning in problem solving
Uploaded: 2025-01-08T16:31:09.000Z
Duration: 1 min 30 s
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K12 Standards

Virginia  Standards of Learning

HIgh School

Earth Science

ES.1

ES.1.d

Reasoning

Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
Reasoning can be inductive or deductive.
Inductive reasoning begins with specific observations and formulates general conclusions that are probable but not certain.
For example, observing that every morning the sun rises leads to the belief that the sun will rise again tomorrow.
Similarly, observing that swans seen in various locations are white might lead one to conclude that all swans are white.
Inductive reasoning supports scientific knowledge, such as determining medication efficacy through repeated trials.
Psychological research generalizes findings from samples to populations using inductive reasoning.
Conversely, deductive reasoning applies a general principle to specific cases to derive conclusions.
For instance, if all birds have feathers, and a robin is a bird, then all robins have feathers.
Scientific practice uses deductive reasoning to derive hypotheses from theories predicting outcomes.
For example, if research states that regular joggers experience mental health benefits, one might deduce that regular joggers have better mental

reasoning

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.
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example, repeatedly turning on a cell phone without it exploding leads to the general belief that it is safe. Similarly, tasting sour milk and discarding the whole container is inductive reasoning based on one observation. Inductive reasoning contributes significantly to scientific knowledge, such as understanding that there are genetic differences between men and women, despite not testing every individual. Psychological research often uses inductive reasoning when generalizing findings from a sample to a population.
Deductive reasoning involves applying a general principle to a specific case. It draws conclusions based on facts. For instance, starting with the premise that all Texans love the Dallas Cowboys, one might deduce that a specific Texan named John loves the Cowboys. However, this logic hinges on the truth of the initial premise; if not all Texans love the Cowboys, the conclusion may be false. In scientific practice, deductive reasoning is used to derive hypotheses from theories. If the theory (premise) is true, the hypothesis derived from it (conclusion) should also be true.
Understanding both types of reasoning is crucial for effective problem-solving, decision-making, and scientific inquiry.

Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
Reasoning ...

Education

JoVE Core

Introduction to Psychology

Unit 1

Thinking, Language And Intelligence

KEY TERMS AND CONCEPTS

reasoning in problem solving

Reasoning in problem solving is the process of thinking in a logical, sensible way to reach a conclusion. It helps people make decisions and think critically. Reasoning turns information into conclusions, which is useful in science and everyday life.

One common type is inductive reasoning. Inductive reasoning means making a general rule from specific observations. It helps people form beliefs about the world. For example, if a cell phone is turned on many times and never explodes, a person may decide it is safe. Tasting sour milk and throwing out the whole container is another example based on one observation.

Inductive reasoning also supports scientific knowledge. Scientists may use it to notice genetic differences between men and women even if they do not test every individual. Psychological research often uses inductive reasoning too. In that case, findings from a sample are generalized to a larger population.

The other main type is deductive reasoning. Deductive reasoning applies a general principle to a specific case. It draws conclusions from facts. For example, if the premise is that all Texans love the Dallas Cowboys, then one might deduce that a Texan named John loves the Cowboys. But this kind of conclusion depends on the premise being true. If the premise is wrong, the conclusion may also be wrong.

Deductive reasoning is important in science because it helps scientists derive hypotheses from theories. If the theory is true, the hypothesis drawn from it should also be true. Knowing both inductive and deductive reasoning supports problem-solving, decision-making, and scientific inquiry.

Reasoning in Problem Solving

introduction to cognitive psychology

Cognitive Psychology and the Computer Model

Cognitive psychology studies how people think, remember, and understand information. It looks at how thinking works with emotion, creativity, language, and problem-solving. The field focuses on how information is processed and changed during remembering, thinking, and knowing. Cognitive psychology emerged in the mid-20th century after behaviorism had dominated psychology. Behaviorism focused on observable behavior and did not study mental processes. In the 1950s, computers helped spark a new...

concepts and prototypes

How the Brain Groups Ideas

The brain groups ideas into concepts and uses prototypes to sort new information. Sensory stimuli first become neural impulses, and the brain processes them into thoughts, language, and memories. Emotions and memories also shape this process, helping create a full mental picture. Concepts are mental categories that organize linguistic data, images, ideas, and memories. They keep knowledge orderly and easy to use. Concepts can be abstract, such as justice, or concrete, such as members of...

natural and artificial concepts

Concepts Built from Experience and Rules

Natural and artificial concepts help explain how people organize ideas in psychology. Natural concepts come from direct or indirect experience. They are built from what a person sees, hears, touches, or reads about over time. Snow is a clear example of a natural concept. A student in Essex Junction, Vermont may know snow from direct experience by seeing it fall, touching it, shoveling it, and playing in it. A student in Saint Vincent in the Caribbean may know snow only through indirect...

schemata

Schemata and Everyday Behavior

Schemata are mental constructs that organize related ideas and help the brain process information efficiently. When a schema is activated, it can shape the assumptions people make about people or objects. One important type is the role schema. This is the set of expectations tied to a specific role, such as a firefighter. A firefighter schema may bring to mind bravery and a focus on community, but these expectations are not always correct. Role schemata can also support biases and stereotypes...

language

Language as Human Symbol System

Language is a human communication system that uses words and rules to share information. It depends on symbols and grammar. That makes it different from communication that uses postures, movements, odors, or vocalizations. People use language to speak, write, or sign. It supports listening, reading, and writing. Language also shapes inner speech, or the silent self-talk people use in their minds. This ability helps explain why language is often seen as a key part of what makes humans unique...

components of language

Language Structure: Sounds, Words, and Meaning

Language is built from sounds, words, and rules for meaning. It can be spoken, signed, or written. The two main parts are the lexicon and grammar. The lexicon is the vocabulary of a language, and grammar is the set of rules that helps speakers use those words to communicate. Words begin with phonemes, the basic sound units of language. Different languages use different sets of phonemes, such as sounds like "ah" and "eh." Phonemes combine to form morphemes, which are the smallest units of...

language development

Stages of Language Development

Language development follows a clear sequence from early sound recognition to full sentences. It begins very early, even before birth. Babies are already tuned to speech, and newborns often prefer their mother’s voice. They can also tell the difference between their mother’s language and other languages. Researchers have explained language learning in different ways. B. F. Skinner argued that language is learned through reinforcement. Noam Chomsky argued that language ability is biologically...

language and cognition

How Language Shapes Thinking

Language shapes how people think, speak, and understand the world. Psychologists have debated whether language changes thought or whether thought comes first. The idea became well known in the 1940s through Edward Sapir and Benjamin Lee Whorf. They proposed linguistic determinism, the view that a language’s words and grammar determine how its speakers think and perceive reality. Sapir and Whorf argued that vocabulary can affect how people experience ideas. For example, languages with several...

problem-solving

Problem-Solving Strategies in Psychology

Problem-solving strategies help people find solutions after they identify the problem. Effective problem-solving has two steps. First, a person must identify the problem. Then they choose a plan of action that fits the situation. One strategy is trial and error. This means testing different solutions until one works. Thomas Edison used this approach when he tested thousands of filaments for the light bulb. It is not the most efficient method, but it can be useful when there is no clear path. <br...

trial and error and algorithm

Problem-Solving: Trial, Error, and Rules

Problem-solving strategies use different action plans to reach a solution. Trial and error is one common strategy. It means trying different solutions until one works. For example, fixing a broken printer may involve checking the ink levels, making sure the paper tray is not jammed, and confirming that the printer is connected to a laptop. Trial and error is useful, but it can take a long time. It is often used when there are only a few possible solutions to test. Thomas Edison used this...

heuristics

Heuristics in Everyday Problem Solving

Heuristics are problem-solving strategies that use mental shortcuts to make decisions easier. They give people a general way to solve a problem without following every step exactly. Unlike algorithms, which must be followed precisely to reach the correct result, heuristics are faster but can sometimes lead to less rational choices. People often use heuristics when there is too much information to process, not enough time, or not enough data. They are also common when the decision is not very...

Reasoning in problem solving is the process of thinking in a logical, sensible way to reach a conclusion. It helps people make decisions and think critically. Reasoning turns information into conclusions, which is useful in science and everyday life. One common type is inductive reasoning. Inductive reasoning means making a general rule from specific observations. It helps people form beliefs about the world. For example, if a cell phone is turned on many times and never explodes, a person may...

decision making

Automatic vs. Controlled Decisions

Decision-making is a basic cognitive process that helps people compare options and choose one. It can cover small choices, like what to wear, and larger ones, like picking a college major or a career path. The type of choice often shapes how the brain handles it. One approach is automatic decision-making. It is fast and intuitive, and it depends on gut feelings instead of careful reasoning. People often use it when they need to decide quickly or when the choice has low stakes, such as picking...

critical thinking

Critical Thinking in Science and School

Critical thinking in science and school means reflective, productive thinking that depends on evaluating evidence. Students who think critically try to understand the deeper meaning of ideas. They question assumptions and make independent choices about what to believe or do. Scientists often use critical thinking because they must look beyond the obvious. Good critical thinking also includes humility about what we know and what we do not know. That attitude helps people stay focused on the...

creative thinking

Divergent and Convergent Thinking

Creative thinking helps people solve problems with new and unusual ideas. It is not limited to improving an existing system. For example, instead of only trying to make a smartphone battery larger, creative thinking may lead to energy-efficient batteries or processors that use less power. This broader approach opens new paths to innovation. A key part of creative thinking is divergent thinking. Divergent thinking means generating many possible solutions to one problem. It often appears during...

intelligence

How Cultures Define Intelligence

Intelligence can mean different things across cultures. It refers to both behavior and individual ability, but people do not always define it the same way. In European American settings, intelligence is often linked to reasoning and cognitive skills. In other places, it is tied to social responsibility, memory, or practical skill. In Kenya, intelligence is connected to responsible participation in family and social life. In Uganda, it means knowing the right action and carrying it out...

cattell's theory of intelligence

Fluid vs. Crystallized Intelligence

Raymond Cattell and John Horn helped show that intelligence is not just one ability. They described two related but different kinds of intelligence: fluid intelligence and crystallized intelligence. Fluid intelligence is the ability to solve new problems and adjust to unfamiliar situations. People use it when they face a novel puzzle or need to think in a new way. Figuring out how to use a new gadget is one example of fluid intelligence. Crystallized intelligence is the knowledge and skills...

triarchic theory of intelligence

Sternberg's Three Types of Intelligence

Robert Sternberg's theory of intelligence divides mental ability into three connected parts: analytical intelligence, creative intelligence, and practical intelligence. This model shows that intelligence is not just one skill. It includes different ways people think and solve problems. Analytical intelligence is the type most like traditional IQ-based thinking. It involves analyzing information, evaluating ideas, and solving problems with logic. This form of intelligence is often linked to...

multiple intelligences theory

Gardner’s 9 Intelligences Explained

Howard Gardner’s theory of multiple intelligences describes nine distinct ways people can understand and interact with the world. First introduced in 1983 and later expanded, the framework challenges the idea that intelligence is only one general ability. Instead, it suggests that people may show strengths in different areas. Verbal-linguistic intelligence is the ability to think in words and use language to express ideas. Logical-mathematical intelligence supports math operations and logical...

measures of intelligence

How Psychologists Evaluate IQ Tests

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binet's contribution to measures of intelligence

binet-s-contribution-to-measures-of-intelligence

Binet and the First Intelligence Test

Alfred Binet and Théophile Simon created an early intelligence test to help identify students who had trouble learning through regular classroom instruction. In 1904, the French Ministry of Education asked them to design a method for this purpose. The goal was also to reduce overcrowding by placing some students in specialized schools. Binet and Simon built a test with 30 tasks. Some tasks were simple, such as touching the nose or ear after a command. Others were more complex, such as copying...

wechsler's contribution to measures of intelligence

wechsler-s-contribution-to-measures-of-intelligence

Wechsler IQ Tests and What They Measure

David Wechsler developed IQ tests that measure several parts of intelligence, not just one score. He was a psychologist who worked with World War I veterans, and in 1939 he created the Wechsler-Bellevue Intelligence Scale. His view of intelligence included purposeful action, rational thinking, and effective interaction with the environment. The Wechsler-Bellevue scale was innovative because it combined verbal and nonverbal subtests. A subtest is a smaller part of a larger test. This design...

the bell curve

Normal Distribution in Intelligence Scores

The normal distribution is a bell-shaped pattern used to describe many kinds of data, including intelligence test scores. It is symmetrical, with most values clustered around the mean, or average, and fewer values found farther from the center. Mathematician Carl Friedrich Gauss is closely linked to this pattern. This curve also appears in many natural measurements beyond intelligence, such as height. If a large group of women were measured, most heights would fall in the middle range. Fewer...

biological influences on intelligence

How Brain Growth Shapes Intelligence

Intelligence is shaped by brain size, brain structure, genes, and environment. Brain size has a modest link to some skills, especially verbal ability, but it is a weaker predictor for spatial reasoning. This means intelligence cannot be explained by size alone. Brain structure also matters. For example, Einstein had a smaller-than-average brain, but his parietal cortex was 15% wider. The parietal cortex helps with spatial reasoning, so this suggests that neural density may matter more than...

environmental influences on intelligence

How Early Childhood Shapes IQ

Early childhood experiences can shape intelligence and IQ. Genetics matter, but a child’s environment can still change outcomes in a meaningful way. Research shows that enriched surroundings support academic success and help children build important thinking skills. The transcript also shows that environment affects other traits, such as height. Even though more than 90% of height variation comes from genetic differences, nutrition still plays a clear role. The same pattern appears in...

key terms and concepts

Learn how inductive and deductive reasoning help students solve problems, make decisions, and build scientific conclusions from observations and facts.

Reasoning in Problem Solving | JoVE K12

JoVE Core Introduction to Psychology offers an engaging learning experience on the fundamental principles of psychology through concise video lessons. Students will explore important topics such as cognitive processes, emotional regulation, and neural mechanisms, establishing a strong foundation in the study of the mind and human behavior. This series provides an accessible and captivating approach to grasp the essential concepts of the discipline.

introduction to psychology

Life Science

LS.1

LS.1.d

Texas Essential Knowledge and Skills

High School

Specialised Topic in Science

112.51.c.3.

112.51.c.3.C.

112.51.c.4.

112.51.c.4.A.

Biology

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Physics

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PHYS.3.C

PHYS.4

PHYS.4.A

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Scientific Method

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Scientific Laws and Theories

Scientific Laws

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The Scientific Method

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Chemistry is an empirical science. Scientists often pose questions to understand the chemistry in everyday life and seek answers to these questions. To ...

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When the null and alternative hypotheses are stated, it is observed ...

Hypothesis: Accept or Fail to Reject?

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The student will demonstrate an understanding of scientific and engineering practices by asking questions and defining problems
• ask questions that arise from careful observation of phenomena, examination of a model or theory, or unexpected results, and/or to seek additional information
• determine which questions can be investigated within the scope of the school laboratory or field experience
• generate hypotheses based on research and scientific principles
• make hypotheses that specify what happens to a dependent variable when an independent variable is manipulated
• define design problems that involve the development of a process or system with multiple components and criteria

ES.1.a

Inductive Reasoning

Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in ...

Deductive Reasoning

Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the ...

Correlation and Causation

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Demonstrating the Scientific Method with Tree Branches
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Observation and Background Research
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The student will demonstrate an understanding of scientific and engineering practices by planning and carrying out investigations
• individually and collaboratively plan and conduct observational and experimental investigations
• plan and conduct investigations to test design solutions in a safe and ethical manner including considerations of environmental, social and personal effects
• select and use appropriate tools and technology to collect, record, analyze, and evaluate data

ES.1.b

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Statistical Analysis: Overview

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Statistical Significance

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Review and Preview

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Data: Types and Distribution

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Nonparametric data ...

Histogram

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Scatter Plot

The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a ...

Bar Graph

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Pie Chart

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Numerical Calculations

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Accuracy and Precision

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Significant Figures in Calculations

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Realism in Experimentation

Source: Laboratories of Gary Lewandowski, Dave Strohmetz, and Natalie Ciarocco&#8212;Monmouth University

In an ideal world researchers would conduct ...

The student will demonstrate an understanding of scientific and engineering practices by pnterpreting, analyzing, and evaluating data
• construct and interpret data tables showing independent and dependent variables, repeated trials, and means
• construct, analyze, and interpret graphical displays of data and consider limitations of data analysis
• apply mathematical concepts and processes to scientific questions
• use data in building and revising models, supporting explanations of phenomena, or testing solutions to problems
• analyze data using tools, technologies, and/or models in order to make valid and reliable scientific claims or determine an optimal design solution

ES.1.c

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the ...

Data Collection by Experiments

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Data Collection by Survey

The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data ...

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to ...

The student will demonstrate an understanding of scientific and engineering practices by constructing and critiquing conclusions and explanations
• make quantitative and/or qualitative claims based on data
• construct and revise explanations based on valid and reliable evidence obtained from a variety of sources, including students' own investigations, models, theories, simulations, and peer review
• apply scientific ideas, principles, and/or evidence to provide an explanation of phenomena or design solutions
• construct arguments or counterarguments based on data and evidence
• differentiate between a scientific hypothesis, theory, and law

using-topographic-maps-to-generate-topographic-profiles

Using Topographic Maps to Generate Topographic Profiles

Source: Laboratory of Alan Lester - University of Colorado Boulder
Topographic maps are &#34;plan-view&#34; representations of Earth&#39;s ...

The student will demonstrate an understanding of scientific and engineering practices by developing and using models
• evaluate the merits and limitations of models
• develop, revise, and/or use models based on evidence to illustrate or predict relationships
• construct and interpret scales, diagrams, classification charts, graphs, tables, imagery, models, including geologic cross sections and topographic profiles
• read and interpret topographic and basic geologic maps and globes, including location by latitude and longitude

ES.1.e

Data Source

A data source is the origin of collected data, whether physical or digital, and includes all channels, platforms, and repositories for gathering and ...

Communication

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Levels of Communication I: Intrapersonal, Interpersonal, and Small Group

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levels-of-communication-ii-organizational-public-and-group-dynamics

Levels of Communication II: Organizational, Public, and Group Dynamics

Effective communication is the foundation of a good organization. Communication is the lifeblood of an organization that connects the group with messages. ...

The student will demonstrate an understanding of scientific and engineering practices by obtaining, evaluating, and communicating information
• compare, integrate, and evaluate sources of information presented in different media or formats to address a scientific question or solve a problem
• gather, read, and evaluate scientific and/or technical information from multiple sources, assessing the evidence and credibility of each source
• communicate scientific and/or technical information about phenomena and/or a design process in multiple formats

ES.1.f

Reasoning in Problem Solving

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