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Finley, Sara – First Language, 2020
In this commentary, I discuss why, despite the existence of gradience in phonetics and phonology, there is still a need for abstract representations. Most proponents of exemplar models assume multiple levels of abstraction, allowing for an integration of the gradient and the categorical. Ben Ambridge's dismissal of generative models such as…
Descriptors: Phonology, Phonetics, Abstract Reasoning, Linguistic Theory
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
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

Lunzer, Eric A. – Educational Review, 1979
This paper examines the nature of concepts and conceptual processes and the manner of their formation. It argues that a process of successive abstraction and systematization is central to the evolution of conceptual structures. Classificatory processes are discussed and three levels of abstraction outlined. (Author/SJL)
Descriptors: Abstract Reasoning, Classification, Cognitive Development, Concept Formation
Farrar, Mary Thomas – 1984
Educators generally assume that questioning promotes learning and that higher level questions do so better than lower level questions. But there are a number of problems with these assumptions. First, the classification of questions as higher level or lower level is ambiguous. The distinction is confused by such issues as non-controversial…
Descriptors: Abstract Reasoning, Classification, Difficulty Level, Questioning Techniques
Newby, Timothy J.; Stepich, Donald A. – Journal of Instructional Development, 1987
Examines the differences between concrete and abstract concepts and their implications for instructional design and teaching. How specific concepts are stored in and retrieved from memory is described, analogies are discussed as an instructional tool in abstract concept learning, and a possible instructional strategy for teaching abstract concepts…
Descriptors: Abstract Reasoning, Classification, Concept Formation, Concept Teaching

Bergstrom, Robert F. – College English, 1983
Examines students' difficulties in reading literature and suggests methods for helping them to develop and improve skills necessary for the mature reading of literature. (MM)
Descriptors: Abstract Reasoning, Classification, College English, College Students
Vinner, Shlomo – Focus on Learning Problems in Mathematics, 1990
Discussed are the issues of inconsistencies and compartmentalization and the use of inconsistencies in the classroom. Included are discussions on paradoxes, the naive student, logical reasoning ability, and the development of the students' cognitive structures. (KR)
Descriptors: Abstract Reasoning, Classification, Cognitive Development, Cognitive Dissonance
Tirosh, Dina – Focus on Learning Problems in Mathematics, 1990
Discusses a system of classification for students' inconsistent ideas in mathematics, the sources of students' mathematical inconsistency, and instructional strategies for helping students to resolve apparent learning inconsistencies. Language, curriculum, and instruction are included in the discussion. (KR)
Descriptors: Abstract Reasoning, Classification, Cognitive Development, Cognitive Dissonance

Shepard, Richard G. – Journal of Mathematical Behavior, 1993
Discusses the use of writing to enhance learning in mathematics from a conceptual development perspective. Shuell's phases of learning are described as a general model for conceptual development and subsequently matched with Britton's categories for transactional-informative writing. Sample mathematics assignments for each writing category are…
Descriptors: Abstract Reasoning, Classification, Cognitive Development, Concept Formation