Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Abstract Reasoning | 8 |
Language Processing | 8 |
Learning Processes | 8 |
Cognitive Processes | 5 |
Psycholinguistics | 4 |
Language Acquisition | 3 |
Models | 3 |
Recall (Psychology) | 3 |
Verbal Learning | 3 |
Computational Linguistics | 2 |
Critical Thinking | 2 |
More ▼ |
Author
Hartshorne, Joshua K. | 1 |
Higgins, E. Tory | 1 |
Lupyan, Gary | 1 |
Maki, Ruth H. | 1 |
Marschark, Marc | 1 |
McClelland, James L. | 1 |
Paivio, Allan | 1 |
Schonberg, Christina | 1 |
Schuler, Jennie | 1 |
Till, Robert E. | 1 |
Walsh, David A. | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Opinion Papers | 3 |
Reports - Evaluative | 3 |
Reports - Research | 2 |
Guides - Non-Classroom | 1 |
Reports - Descriptive | 1 |
Education Level
Audience
Administrators | 1 |
Practitioners | 1 |
Teachers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Zettersten, Martin; Schonberg, Christina; Lupyan, Gary – First Language, 2020
This article reviews two aspects of human learning: (1) people draw inferences that appear to rely on hierarchical conceptual representations; (2) some categories are much easier to learn than others given the same number of exemplars, and some categories remain difficult despite extensive training. Both of these results are difficult to reconcile…
Descriptors: Models, Language Acquisition, Prediction, Language Processing
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
Hartshorne, Joshua K. – First Language, 2020
Ambridge argues that the existence of exemplar models for individual phenomena (words, inflection rules, etc.) suggests the feasibility of a unified, exemplars-everywhere model that eschews abstraction. The argument would be strengthened by a description of such a model. However, none is provided. I show that any attempt to do so would immediately…
Descriptors: Models, Language Acquisition, Language Processing, Bayesian Statistics
Higgins, E. Tory – Journal of Verbal Learning and Verbal Behavior, 1976
Reports on research examining the effect of linguistic presupposition on the solving of three-term series problems. (Author/RM)
Descriptors: Abstract Reasoning, Cognitive Processes, Deduction, Language Processing
Marschark, Marc; Paivio, Allan – Journal of Verbal Learning and Verbal Behavior, 1977
Three experiments investigated whether abstract as well as concrete sentences can be processed in a holistic manner. Results suggest that the processing of both types of sentences involves construction of particularized, holistic mental representations that contain information and inferences based on context and knowledge of language and the…
Descriptors: Abstract Reasoning, Cognitive Processes, Context Clues, Language Processing
Maki, Ruth H.; Schuler, Jennie – Journal of Verbal Learning and Verbal Behavior, 1980
Reports three experiments demonstrating that recall for words increases with deeper levels of processing and with longer rehearsal intervals. Asserts that there is no interaction between those strategies. (PMJ)
Descriptors: Abstract Reasoning, Cognitive Processes, Language Processing, Learning Processes
Till, Robert E.; Walsh, David A. – Journal of Verbal Learning and Verbal Behavior, 1980
Reports three experiments to test age-related difFerences in sentence memory arising from sources other than noncognitive factors. Age-related differences are discussed in terms of deficiencies at encoding and retrieval. (PMJ)
Descriptors: Abstract Reasoning, Adults, Age, Age Differences

Woods, Donald R. – Journal of College Science Teaching, 1989
Reviews a monograph which addresses children's higher-order thinking skills. Suggests the following for teaching problem solving: identify and develop content-independent and content-dependent problem-solving skills, connect developed skills through workshop-style activities to subject discipline, and help students identify and reconstruct their…
Descriptors: Abstract Reasoning, Cognitive Development, Cognitive Processes, Cognitive Structures