The assessment of creative problem solving (CPS) is challenging. Elements an procedure, such as the tasks that are used and raters who assess those tasks, introduce variation in student scores do not necessarily reflect actual differences students’ abilities. When creativity researchers evaluate procedures, they often inspect these elements separately. We show use Generalizability Theory allows...

Only teachers who possess problem-solving skills can develop them in their students. These therefore need to be accentuated during teachers’ pre-service training. In this study, attention was given chemistry (students) measured with the use of two sets problem tasks–chemistry and general science tasks. Based on a pre-test consisting both types tasks, one successful, partially successful unsucce...

According to the Discrepancy Reduction Model for metacognitive regulation, people invest time in cognitive tasks in a goal-driven manner until their metacognitive judgment, either judgment of learning (JOL) or confidence, meets their preset goal. This stopping rule should lead to judgments above the goal, regardless of invested time. However, in many tasks, time is negatively correlated with JO...

Distributed Artificial Intelligence is concerned with problem solving in which groups solve tasks. In this paper we describe strategies of cooperation that groups require to solve shared tasks effectively. We discuss such strategies in the context of a specific group problem solving application: collision avoidance in air traffic control. Experimental findings with four distinct air-traffic con...

If, as suggested, creative (insight) problem solving is less systematic and employs less planning than analytical problem solving, the former requires substantially less working memory (WM) than the latter. Subjects simultaneously solved problems and counted auditory stimuli (concurrent WM task), in response to which ERPs were recorded. Counting disrupted analytical, but not creative performanc...

In this paper, we proposed an algorithm for solving the problem of task scheduling using particle swarm optimization algorithm, with changes in the Selection and removing the guide and also using the technique to get away from the bad, to move away from local extreme and diversity. Scheduling algorithms play an important role in grid computing, parallel tasks Scheduling and sending them to ...