Related Experiment Video
Updated: Oct 5, 2026
Problem-Solving Before Instruction (PS-I): A Protocol for Assessment and Intervention in Students with Different Abilities
Published on: September 11, 2021
[Success in problem solving as a condition for acquisition of control knowledge in system control]
1Universität Bayreuth. walburga.preussler@uni-bayreuth.de
Abstract:
In an experiment the hypothesis was examined wether successful problem solving facilitates the acquisition of control knowledge in system control. Subjects had to control a complex dynamic system. Success in problem solving was manipulated by imparting structural knowledge. Structural knowledge was assessed by presenting a "pair-task" and by analysing transfer effects in system control. Control knowledge was diagnosed by a recognition task. Subjects taught in structural knowledge learned more about the system and performed better. Effects of instruction on control knowledge did not occur. The results suggest assuming a "look-up table" which stores successful problem solving episodes as well as unsuccessful situations (Berry & Broadbent, 1988).
Related Concept Videos
01:10Control Systems
At the heart...
01:21Control System Problem
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
01:25Control Systems: Applications
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The direction...
01:29Problem-Solving
01:21Cognitive 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...
01:26Feedback control systems
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...