Human participants and recurrent ("connectionist") neural networks were both trained on a categorization system abstractly similar to natural language systems involving irregular ("strong") classes and a default class. Both the humans and the networks exhibited staged learning and a generalization pattern reminiscent of the…

Discusses helping students understand cases and classes through knowledge modeling. Discusses classification and human cognition, and classification and pictorial knowledge models. Provides classroom extension activities. (SR)

An eyetracking study testing D. L. Medin and M. M. Schaffer's (1978) 5-4 category structure was conducted. Over 30 studies have shown that the exemplar-based generalized context model (GCM) usually provides a better quantitative account of 5-4 learning data as compared with the prototype model. However, J. D. Smith and J. P. Minda (2000) argued…

Four experiments with college undergraduates examine interactions between linearly separable and nonlinearly separable abstract category structures, different knowledge types, and instructions on classification learning tasks. Implications for independent cue models and interactive cue models are discussed. (LMO)

Presents a taxonomy and a rationale for measuring three domains of online search competence--affective, cognitive, and sensorimotor. Implications for bibliographic instruction are explored, including the desirability of teaching users affective skills that will permit them to acquire the complex cognitive skills required to conduct more…

Examined the nature of perceptual classification in children and young adults. Found that most children attend selectively to one stimulus dimension when making perceptual classification judgments. Suggests that this developmental trend does not appear to be a holistic-to-analytic shift but rather a trend toward greater consistency in following a…

Two experiments investigated perceptual primacy of dimensional and similarity relations in stimulus classification of mentally retarded children. Results support a distinction between separable and integral stimulus structures, but do not support an integral-to-separable shift in perceptual development. Results suggest implications for…

Presents a knowledge representation model that was designed for instructional decision making. Topics discussed include classification models for instructional design; artificial intelligence; semantic networks; natural language; and data models, including network and hierarchical models. An example is given of knowledge analysis for a secondary…

This book articulates and defends the "theory theory" of cognitive and semantic development: the idea that very young children just beginning to talk are engaged in profound restructurings of several domains of their knowledge. These restructurings are analogous to theory changes. The children's early semantic development is closely tied…

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…