This work provides a characterization of the learning of graph theory through the lens of the van Hiele model. For this purpose, we perform a theoretical analysis structured through the processes of reasoning that students activate when solving graph theory problems: recognition, use and formulation of definitions, classification, and proof. We…

This paper focuses on revealing and modeling the cognitive constructs of pre-service teachers regarding the characteristics of a good IT academician. The research was carried out via the exploratory sequential design with the participation of 42 volunteer pre-service teachers enrolled in the Department of Computer and Instructional Technology. The…

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…

Introduction: The achievement goals framework has been researched and used to explain and account for individuals' learning and academic achievements. Over the past three decades, progress has been made in the conceptualizations and research development of different possible theoretical models of achievement goals. Notably, in this study, we…

Knowledge restructuring refers to changes in the strategy with which people solve a given problem. Two types of knowledge restructuring are supported by existing category learning models. The first is a relearning process, which involves incremental updating of knowledge as learning progresses. The second is a recoordination process, which…

This study was designed to determine whether concepts judged by participants as either prototypically social, non-social, animate, or inanimate would be cognitively structured in a manner consistent with E. Rosch's hierarchical model. During the first experiment, 168 undergraduates generated words to be placed in one of the prototypical categories…

The use of structural equation modeling is discussed in testing a range of theories of learning and cognition involving the concept of a hierarchy of variables of increasing complexity. To illustrate this approach, one method is applied to Bloom's taxonomy to test the theoretical assumption of hierarchical organization. (Author/MSE)

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…

Similarity underlies fundamental cognitive capabilities such as memory, categorization, decision making, problem solving, and reasoning. Although recent approaches to similarity appreciate the structure of mental representations, they differ in the processes posited to operate over these representations. We present an experiment that…

In this report, the authors aim to review and advance knowledge of systematic ways of classifying thinking skills. They concentrate on taxonomies and theory-based frameworks, in the belief that studying and using them will promote better understanding of how people think and learn at the age of 16 or above. Their overarching interest is in how…

The second of two linked articles develops two more mapping typologies: first, an approach to the what, why, and how of leaders, leading, and leadership; and second, the presentation of possible positions that knowledge workers can take when they use and produce knowledge about leadership practice. (Contains 10 notes and 73 references.) (MLF)

Explores creating a thesaurus from a cognitive viewpoint, based on a system that organizes its knowledge representation/classification according to the authors' and users' images of the subject domain, in order to increase user-text interaction. Discusses the general framework, methods for implementing author-text structures, and an approach…

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…

The first of two linked articles discusses leadership and associated concepts. Outlines and illustrates a mapping typology built around five knowledge domains (conceptual, critical, humanist, evaluative, and instrumental) and seven factors (purpose, focus, context, method, audience, communication, and impact). (Contains 9 notes and 93 references.)…