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McClelland, James L. – First Language, 2020
Humans are sensitive to the properties of individual items, and exemplar models are useful for capturing this sensitivity. I am a proponent of an extension of exemplar-based architectures that I briefly describe. However, exemplar models are very shallow architectures in which it is necessary to stipulate a set of primitive elements that make up…
Descriptors: Models, Language Processing, Artificial Intelligence, Language Usage
Schuler, Kathryn D.; Kodner, Jordan; Caplan, Spencer – First Language, 2020
In 'Against Stored Abstractions,' Ambridge uses neural and computational evidence to make his case against abstract representations. He argues that storing only exemplars is more parsimonious -- why bother with abstraction when exemplar models with on-the-fly calculation can do everything abstracting models can and more -- and implies that his…
Descriptors: Language Processing, Language Acquisition, Computational Linguistics, Linguistic Theory
Knabe, Melina L.; Vlach, Haley A. – First Language, 2020
Ambridge argues that there is widespread agreement among child language researchers that learners store linguistic abstractions. In this commentary the authors first argue that this assumption is incorrect; anti-representationalist/exemplar views are pervasive in theories of child language. Next, the authors outline what has been learned from this…
Descriptors: Child Language, Children, Language Acquisition, Models
Mainardes, Jefferson; Tello, César – Education Policy Analysis Archives, 2016
This paper, of theoretical nature, explores the levels of approach and abstraction of research in the field of education policy: description, analysis and understanding. Such categories were developed based on concepts of Bourdieu's theory and on the grounds of epistemological studies focused on education policy and meta-research. This paper…
Descriptors: Educational Policy, Educational Research, Meta Analysis, Epistemology
Williamson, Rebecca A.; Jaswal, Vikram K.; Meltzoff, Andrew N. – Developmental Psychology, 2010
Two experiments were used to investigate the scope of imitation by testing whether 36-month-olds can learn to produce a categorization strategy through observation. After witnessing an adult sort a set of objects by a visible property (their color; Experiment 1) or a nonvisible property (the particular sounds produced when the objects were shaken;…
Descriptors: Preschool Children, Observation, Classification, Auditory Perception
Lee, Michael D.; Vanpaemel, Wolf – Cognitive Science, 2008
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that considers an existing model of category representation, the Varying Abstraction Model (VAM), which attempts to infer the representations people use from their behavior in…
Descriptors: Computation, Inferences, Cognitive Science, Models
Beyond Exemplars and Prototypes as Memory Representations of Natural Concepts: A Clustering Approach
Verbeemen, Timothy; Vanpaemel, Wolf; Pattyn, Sven; Storms, Gert; Verguts, Tom – Journal of Memory and Language, 2007
Categorization in well-known natural concepts is studied using a special version of the Varying Abstraction Framework (Vanpaemel, W., & Storms, G. (2006). A varying abstraction framework for categorization. Manuscript submitted for publication; Vanpaemel, W., Storms, G., & Ons, B. (2005). A varying abstraction model for categorization. In B. Bara,…
Descriptors: Memory, Classification, Concept Formation, Multivariate Analysis
Hui, W.; Hu, P. J.-H.; Clark, T. H. K.; Tam, K. Y.; Milton, J. – Journal of Computer Assisted Learning, 2008
A field experiment compares the effectiveness and satisfaction associated with technology-assisted learning with that of face-to-face learning. The empirical evidence suggests that technology-assisted learning effectiveness depends on the target knowledge category. Building on Kolb's experiential learning model, we show that technology-assisted…
Descriptors: Listening Comprehension, Web Based Instruction, Experiential Learning, Vocabulary Development

Abkarian, G. G. – Journal of Communication Disorders, 1987
Evaluation of classification skills of 88 unimpaired children (grades K, 2, 4, and 6) were evaluated using the Iconic-Symbolic test (IS) of the Muma Assessment Program and follow-up interviews. Results found little relationship between the rationales the children reported using and the classification criteria presumed by the IS procedure. (DB)
Descriptors: Abstract Reasoning, Classification, Cognitive Processes, Concept Formation
Doughty, Howard A. – College Quarterly, 2006
This article offers a skeletal critique of the pedagogical theory and the teaching practices arising from the work of educational innovator, Benjamin Bloom. Professor Bloom's theory and method have overtly and covertly insinuated themselves into North American educational practice over the past half-century. Their impact and influence have been…
Descriptors: Foreign Countries, Educational Objectives, Classification, Role of Education
Fox, Eric J.; Sullivan, Howard J. – Journal of Educational Computing Research, 2007
The purpose of this study was to compare traditional classification training for a set of abstract concepts with multiple-relations training consisting of inference practice and the use of a content diagram. To examine this, 200 undergraduate and graduate psychology students completed a Web-based tutorial covering the abstract concepts of a…
Descriptors: Classification, Psychology, Internet, Higher Education