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Related Concept Videos

Problem-Solving01:29

Problem-Solving

Effective problem-solving consists of two steps: 1. identifying the problem and 2. selecting the appropriate problem-solving strategy (i.e., a plan of action used to find a solution). Humans use four problem-solving strategies:
Cognitive Learning01:21

Cognitive Learning

Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light bulb,...
Solving Problems in Physics02:32

Solving Problems in Physics

Problem-solving is the ability to apply general physical principles to specific situations, usually expressed by equations. It is an essential skill in physics, and can also be useful for applying physics in everyday life as well. Analytical skills and problem-solving abilities can be applied to new situations, compared to a list of facts, which can never be extensive enough to include every possible circumstance. To solve physics problems, a certain amount of creativity and insight is...
Principle of Virtual Work: Problem Solving01:13

Principle of Virtual Work: Problem Solving

The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
To apply the principle of virtual work,...
Method of Sections: Problem Solving II01:30

Method of Sections: Problem Solving II

Consider an arbitrary truss structure composed of diagonal, vertical, and horizontal members fixed to the wall. To calculate the force acting on members CB, GB, and GH, method of sections can be used. The loads and lengths of the horizontal and vertical members are known parameters, as shown in the figure.

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Related Experiment Video

Updated: May 17, 2026

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

A test of the testing effect: acquiring problem-solving skills from worked examples.

Tamara van Gog1, Liesbeth Kester

  • 1Institute of Psychology, Erasmus University Rotterdam, Rotterdam, The Netherlands. vangog@fsw.eur.nl

Cognitive Science
|November 6, 2012
PubMed
Summary

Testing after studying worked examples did not improve long-term learning of problem-solving skills. Studying worked examples alone led to better retention than testing, challenging the generalizability of the testing effect in this context.

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Area of Science:

  • Cognitive science
  • Educational psychology

Background:

  • The testing effect, where retrieval practice enhances long-term retention, is a well-established cognitive finding.
  • Its applicability to complex skills like problem-solving remains underexplored, despite the importance of problem-solving in STEM education.

Purpose of the Study:

  • To investigate whether the testing effect extends to the acquisition of problem-solving skills using worked examples.
  • To compare the long-term retention of problem-solving skills following study-only versus study-and-test conditions.

Main Methods:

  • Forty students were divided into two groups: one group studied worked examples (SSSS), and the other studied worked examples followed by solving an isomorphic problem (STST).
  • Performance was assessed via immediate (5 min) and delayed (1 week) retention tests.

Main Results:

  • Immediate retention test performance was similar between the SSSS and STST groups.
  • On the delayed retention test, the SSSS group significantly outperformed the STST group.

Conclusions:

  • The findings suggest that the testing effect may not apply to learning problem-solving skills from worked examples.
  • Relying solely on studying worked examples might be more effective for long-term retention of problem-solving abilities than incorporating retrieval practice in this manner.