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Lau, Jey Han; Clark, Alexander; Lappin, Shalom – Cognitive Science, 2017
The question of whether humans represent grammatical knowledge as a binary condition on membership in a set of well-formed sentences, or as a probabilistic property has been the subject of debate among linguists, psychologists, and cognitive scientists for many decades. Acceptability judgments present a serious problem for both classical binary…
Descriptors: Grammar, Probability, Sentences, Language Research
Kintsch, Walter – Cognitive Science, 2012
In this essay, I explore how cognitive science could illuminate the concept of beauty. Two results from the extensive literature on aesthetics guide my discussion. As the term "beauty" is overextended in general usage, I choose as my starting point the notion of "perfect form." Aesthetic theorists are in reasonable agreement about the criteria for…
Descriptors: Aesthetics, Cognitive Science, Systems Approach, Cognitive Processes
Perfors, Amy; Tenenbaum, Joshua B.; Griffiths, Thomas L.; Xu, Fei – Cognition, 2011
We present an introduction to Bayesian inference as it is used in probabilistic models of cognitive development. Our goal is to provide an intuitive and accessible guide to the "what", the "how", and the "why" of the Bayesian approach: what sorts of problems and data the framework is most relevant for, and how and why it may be useful for…
Descriptors: Bayesian Statistics, Cognitive Psychology, Inferences, Cognitive Development
Mislevy, Robert J. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2009
From a contemporary perspective on cognition, the between-persons variables in trait-based arguments in educational assessment are absurd over-simplifications. Yet, for a wide range of applications, they work. Rather than seeing such variables as independently-existing characteristics of people, we can view them as summaries of patterns in…
Descriptors: Test Validity, Educational Assessment, Item Response Theory, Logical Thinking
Shiffrin, Richard M.; Lee, Michael D.; Kim, Woojae; Wagenmakers, Eric-Jan – Cognitive Science, 2008
This article reviews current methods for evaluating models in the cognitive sciences, including theoretically based approaches, such as Bayes factors and minimum description length measures; simulation approaches, including model mimicry evaluations; and practical approaches, such as validation and generalization measures. This article argues…
Descriptors: Bayesian Statistics, Generalization, Sciences, Models
Mislevy, Robert J.; Huang, Chun-Wei – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2006
Advances in cognitive research increase the need for assessment that can address the processes and the strategies by which persons solve problems. Several psychometric models have been introduced to handle claims cast in information-processing terms, explicitly modeling performance in terms of theory-based predictions of performance. Cognitively…
Descriptors: Cognitive Science, Cognitive Processes, Problem Solving, Psychometrics
International Association for Development of the Information Society, 2012
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…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers