Conflicting explanations and unrelated information in science classrooms increase cognitive load and decrease efficiency in learning. This reduced efficiency ultimately limits one's ability to solve reasoning problems in the science. In reasoning, it is the ability of students to sift through and identify critical pieces of information that is of…

Creativity has emerged in the focus of neurocognitive research in the past decade. However, a heterogeneous pattern of brain areas has been implicated as underpinning the neural correlates of creativity. One explanation for these divergent findings lies in the fact that creativity is not usually investigated in terms of its many underlying…

Research in science education has referred to limitations in information processing resulting from both mental capacity and working memory capacity. Mental capacity is often conceptualised within the framework of the theory of constructive operators. However, the cognitive resources underlying working memory are not well specified within the…

Discusses computational studies of learning in artificial neural networks and findings that may provide insights into the learning abilities of the human brain. Describes efforts to test theories about brain information processing, using artificial neural networks. Vignettes include information concerning how a neural network represents…

Suggests a model of human cognition by describing similarities between human and electronic computers. This model might guide the development of software so that it is sufficiently powerful and flexible to be of value to human computers as they construct new knowledge in chemistry. (JN)

Presented is an analysis of a concept teaching technique that was developed according to a theoretical perspective which emphasizes the importance of a student's existing knowledge in influencing that person's subsequent learning. Significant differences between an experimental group which was exposed to this instructional strategy, and the…

Uses two studies to examine developmental and task effects in estimation problems. Results are discussed in terms of student and task characteristics and the implications of such variables on information processing model of learning. Implications for science teaching, learning problem diagnostics, and science curricula are also discussed. (TW)