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Data were summarized from assessments of three computer-based problem solving decision aids for equipment maintenance.
Virtual Collaborative Environment (VCE) addresses enabling technologies to support collaborative, distributed, computer-based problem solving for engineering applications.
These results suggest that troubleshooting scenarios can be used to assess student fluency in computer programming and computer-based problem solving.
These findings improve on previous results as the objective selection and analysis methods reduce potential bias and provide a more reliable input to the design and provision of computer-based problem solving support.
In another study, these authors showed that computer-based problem solving instructional programs significantly improved math and problem solving ability of students with learning disabilities [ 32].
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Evolutionary algorithms (EAs) are general-purpose stochastic search methods that use the metaphor of evolution as the key element in the design and implementation of computer-based problems solving systems.
Genetic algorithms, evolution strategies and genetic programming belong to the class of probabilistic search procedures known as evolutionary algorithms that use computational models of natural evolutionary processes to develop computer-based problem-solving systems.
Evolutionary algorithms are computer-based problem-solving systems based on principles of evolutionary theory.
The purpose of this study is twofold: First, we develop a computer-based problem-solving environment with interactive features according to the proposed model of complex problem solving in Chemistry.
For instance, Blair et al. (1999) used a computer-based problem-solving task and found a significantly negative correlation between stated self-efficacy and stated worry during problem solving.
This has been very frustrating for those trying to assist the design process with computer-based, problem-solving techniques.
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