This study investigates the effect of "preactional self-regulation" on the quality of problem solving. The experimental study was realized in a problem-based self-regulated learning environment. Data of 78 participants on externalized mental models, re-representing the problem solutions, were collected. A computer-based analysis tool was…

Cognitive scientists have studied internal cognitive structures, processes, and systems for decades in order to understand how they function in human learning. In order to solve challenging tasks in problem situations, learners not only have to perform cognitive activities, e.g., activating existing cognitive structures or organizing new…

Examines the interrelationships among cognitive and social rigidity, intelligence and personal adjustment in old age, and evaluates a six-week training program teaching social problem-solving skills to the elderly. The hypothesis that cognitive rigidity is independent of social rigidity was not fully supported, and the findings suggest that social…

The nature of cluster analysis and dendograms, subjects, tasks, and results of this study are described. Categories for problems were based on assumptions about the methods used by novice and expert problem solvers in a physics context. (CW)

In the study, a part of longitudinal research focused on the emergence of mathematical knowledge structures in a learner's mind is presented. It concentrates on the analysis of introspective data gained from the author's study of a non-standard arithmetic structure in terms of the model of abstraction in context (Hershkowitz, Schwarz and Dreyfus).…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…