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Introduction to Structures01:30

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A structure is defined as a system of interconnected members designed to support or transfer forces and successfully withstand the loads acting on them. The internal forces of a structure can be determined by decomposing the structure and analyzing the free-body diagrams of the individual members or of a combination of members. This helps in understanding the structural elements' behavior and ensuring that the structure is stable and can withstand the subjected loads.
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Structuralism01:26

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Structuralism, an early psychological theory developed by Wilhelm Wundt and his student Edward Bradford Titchener, sought to dissect the human mind into its most fundamental components. Wundt's groundbreaking work in his laboratory set the stage for Titchener to define structuralism's goal as cataloging the "atoms" of the mind—sensations, images, and feelings—akin to how chemists identify elements of matter.
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Natural and Artificial Concepts01:24

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In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
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Structural Organization of the Human Body: An Overview01:18

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It is convenient to consider the body's structures in terms of fundamental levels of organization that increase in complexity: subatomic particles, atoms, molecules, organelles, cells, tissues, organs, organ systems, and organisms.
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Storage01:23

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A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
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Mnemonic Devices01:23

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Mnemonic devices are cognitive tools that facilitate memory retention by linking new information to familiar patterns or organizational strategies. These techniques are beneficial for remembering complex or lengthy sets of information by simplifying and structuring them in easily retrievable ways.
Acronyms
Acronyms are created by using the initial letters of a series of words to form a new word or phrase. This approach condenses complex information into a single, memorable entity. For example,...
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Related Experiment Video

Updated: Jul 17, 2025

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
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Mapping principles and worked examples for structural learning: effects of content complexity.

Hsinmei Liao1

  • 1Department of Human Development and Psychology, Tzu Chi University, Hualien City, Taiwan.

Frontiers in Psychology
|September 8, 2023
PubMed
Summary
This summary is machine-generated.

Mapping principles with worked examples helps learners connect abstract concepts. This approach, especially with complex principles, improves understanding of interrelationships, leading to equivalent knowledge gains.

Keywords:
analogical comparison and mappingconceptual knowledgecontent complexitymathematics learningprinciple learningrelational learningstructural knowledgeworked example

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Area of Science:

  • Cognitive Psychology
  • Educational Psychology
  • Learning Sciences

Background:

  • Connecting abstract principles with concrete examples is a key learning strategy.
  • The cognitive processes and effectiveness of principle-example mapping are not fully understood.
  • Learner comprehension can be hindered by the complexity of principles and examples.

Purpose of the Study:

  • To investigate how principle and example complexity affect learners' ability to map principles to worked examples.
  • To compare the effectiveness of principle-example mapping versus example-example mapping.
  • To measure the impact of mapping activities on structural and conceptual knowledge acquisition.

Main Methods:

  • 138 college students were randomly assigned to different mapping conditions (principle-example vs. example-example).
  • Participants studied probability principles and examples of varying complexity.
  • Free-mapping and guided-mapping tasks were used to assess learning outcomes.

Main Results:

  • For simple principles, principle-example mapping reduced nonrelational comparisons but yielded similar relational comparisons compared to example-example mapping.
  • For complex principles, principle-example mapping reduced nonrelational and increased relational comparisons.
  • Principle-example mapping of corresponding content was more difficult, but noncorresponding content was easier than example-example mapping.
  • Both mapping types resulted in equivalent gains in structural and conceptual knowledge.

Conclusions:

  • Principle-example mapping aids in overcoming difficulties with abstract information.
  • This mapping strategy enhances the identification of interrelationships within formal structures.
  • Findings contribute to understanding analogical reasoning and learning through content comparison.