Results 1 - 10
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11,190
Cognitive architecture and instructional design
- Educational Psychology Review
, 1998
"... Cognitive load theory has been designed to provide guidelines intended to assist in the presentation of information in a manner that encourages learner activities that optimize intellectual performance. The theory assumes a limited capacity working memory that includes partially independent subcompo ..."
Abstract
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Cited by 503 (53 self)
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subcomponents to deal with auditory/verbal material and visual/2- or 3-dimensional information as well as an effectively unlimited long-term memory, holding schemas that vary in their degree of automation. These structures and functions of human cognitive architecture have been used to design a variety of novel
Usability Analysis of Visual Programming Environments: a `cognitive dimensions' framework
- JOURNAL OF VISUAL LANGUAGES AND COMPUTING
, 1996
"... The cognitive dimensions framework is a broad-brush evaluation technique for interactive devices and for non-interactive notations. It sets out a small vocabulary of terms designed to capture the cognitively-relevant aspects of structure, and shows how they can be traded off against each other. T ..."
Abstract
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Cited by 514 (13 self)
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The cognitive dimensions framework is a broad-brush evaluation technique for interactive devices and for non-interactive notations. It sets out a small vocabulary of terms designed to capture the cognitively-relevant aspects of structure, and shows how they can be traded off against each other
The Structure-Mapping Engine: Algorithm and Examples
- Artificial Intelligence
, 1989
"... This paper describes the Structure-Mapping Engine (SME), a program for studying analogical processing. SME has been built to explore Gentner's Structure-mapping theory of analogy, and provides a "tool kit" for constructing matching algorithms consistent with this theory. Its flexibili ..."
Abstract
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Cited by 522 (116 self)
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flexibility enhances cognitive simulation studies by simplifying experimentation. Furthermore, SME is very efficient, making it a useful component in machine learning systems as well. We review the Structure-mapping theory and describe the design of the engine. We analyze the complexity of the algorithm
Human agency in social cognitive theory
- The American Psychologist
, 1989
"... ABSTRACT: The present article examines the nature and function of human agency within the conceptual model of triadic reciprocal causation. In analyzing the operation of human agency in this interactional causal structure, social cognitive theory accords a central role to cognitive, vicarious, self- ..."
Abstract
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Cited by 469 (1 self)
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ABSTRACT: The present article examines the nature and function of human agency within the conceptual model of triadic reciprocal causation. In analyzing the operation of human agency in this interactional causal structure, social cognitive theory accords a central role to cognitive, vicarious, self
APPLICATION TO THREE MEASURES OF COGNITIVE STRUCTURE
"... and application of three measures of cognitive structure ..."
An integrative theory of prefrontal cortex function.
- Annual Review of Neuroscience,
, 2001
"... Abstract The prefrontal cortex has long been suspected to play an important role in cognitive control, in the ability to orchestrate thought and action in accordance with internal goals. Its neural basis, however, has remained a mystery. Here, we propose that cognitive control stems from the active ..."
Abstract
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Cited by 1093 (20 self)
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Abstract The prefrontal cortex has long been suspected to play an important role in cognitive control, in the ability to orchestrate thought and action in accordance with internal goals. Its neural basis, however, has remained a mystery. Here, we propose that cognitive control stems from
Verbal reports as data
- Psychological Review
, 1980
"... The central proposal of this article is that verbal reports are data. Accounting for verbal reports, as for other kinds of data, requires explication of the mech-anisms by which the reports are generated, and the ways in which they are sensitive to experimental factors (instructions, tasks, etc.). W ..."
Abstract
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Cited by 513 (3 self)
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to understand in detail the mecha-nisms and internal structure of cognitive pro-cesses that produce these relations. In the limiting case, we would like to have process models so explicit that they could actually produce the predicted behavior from the in-formation in the stimulus.
The Varieties of Reference
, 1982
"... Tracing the development of concepts of affect and emotion in mathematics education (ME) research is informative for research on teaching statistics. In both areas, early research focused on more stable aspects of affect- beliefs, values and attitudes- using surveys to study dimensionality, and corre ..."
Abstract
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Cited by 544 (2 self)
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, and correlations with performance. In ME, a concern with gender differences led to focusing on “mathematics anxiety ” so as to provide a non-cognitive explanation for any gender differences in performance. McLeod (1992) proposed a spectrum of forms of affect, from beliefs (more stable, “cooler”) over to emotions
Implicit learning and tacit knowledge
- Journal of Experimental Psychology: General
, 1989
"... I examine the phenomenon of implicit learning, the process by which knowledge about the rale-governed complexities of the stimulus environment is acquired independently of conscious attempts to do so. Our research with the two, seemingly disparate experimental paradigms of synthetic grammar learning ..."
Abstract
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Cited by 425 (1 self)
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learning and probability learning is reviewed and integrated with other approaches to the general problem of unconscious cognition. The conclusions reached are as follows: (a) Implicit learning produces a tacit knowledge base that is abstract and representative of the structure of the environment; (b
Recursive Distributed Representations
- Artificial Intelligence
, 1990
"... A long-standing difficulty for connectionist modeling has been how to represent variable-sized recursive data structures, such as trees and lists, in fixed-width patterns. This paper presents a connectionist architecture which automatically develops compact distributed representations for such compo ..."
Abstract
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Cited by 414 (9 self)
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, in that they combine apparently immiscible aspects of features, pointers, and symbol structures. They form a bridge between the data structures necessary for high-level cognitive tasks and the associative, pattern recognition machinery provided by neural networks. 2 J. B. Pollack 1. Introduction One of the major
Results 1 - 10
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11,190