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Fynn R. Dobler; Malte R. Henningsen-Schomers; Friedemann Pulvermüller – Language Learning, 2024
Concrete symbols (e.g., "sun," "run") can be learned in the context of objects and actions, thereby grounding their meaning in the world. However, it is controversial whether a comparable avenue to semantic learning exists for abstract symbols (e.g., "democracy"). When we simulated the putative brain mechanisms of…
Descriptors: Semantics, Brain Hemisphere Functions, Concept Formation, Abstract Reasoning
Léo Picat; Salvador Mascarenhas – Cognitive Science, 2024
We investigate the articulation between domain-general reasoning and interpretive processes in failures of deductive reasoning. We focus on illusory inferences from disjunction-like elements, a broad class of deductive fallacies studied in some detail over the past 15 years. These fallacies have received accounts grounded in reasoning processes,…
Descriptors: Abstract Reasoning, Cognitive Processes, Difficulty Level, Linguistics
Merel Scholman; Marian Marchal; Vera Demberg – Discourse Processes: A Multidisciplinary Journal, 2024
The comprehension of connectives is crucial for understanding the discourse relations that make up a text. We studied connective comprehension in English to investigate whether adult comprehenders acquire the meaning and intended use of connectives to a similar extent and how connective features and individual differences impact connective…
Descriptors: Adults, Reading Comprehension, Connected Discourse, Semantics
Anna Marie Bergman; Andrew Kercher; Keith Gallagher; Rina Zazkis – Educational Studies in Mathematics, 2024
Definitions are an integral aspect of mathematics. In particular, they form the backbone of deductive reasoning and facilitate precision in mathematical communication. However, when multiple non-equivalent definitions for the same term exist, their ability to serve these purposes can be called into question. While ambiguity can be productive, the…
Descriptors: Definitions, Mathematics, Ambiguity (Semantics), Abstract Reasoning
Gafny, Ronit; Ben-Zvi, Dani – Teaching Statistics: An International Journal for Teachers, 2023
In recent years, big data has become ubiquitous in our day-to-day lives. Therefore, it is imperative for educators to integrate nontraditional (big) data into statistics education to ensure that students are prepared for a big data reality. This study examined graduate students' expressions of uncertainty while engaging with traditional and…
Descriptors: Student Attitudes, Data Science, Data Analysis, Models
Canessa, Enrique; Chaigneau, Sergio E.; Moreno, Sebastián – Cognitive Science, 2021
In the property listing task (PLT), participants are asked to list properties for a concept (e.g., for the concept "dog," "barks," and "is a pet" may be produced). In conceptual property norming (CPNs) studies, participants are asked to list properties for large sets of concepts. Here, we use a mathematical model of…
Descriptors: Language Processing, Concept Formation, Semantics, Visual Impairments
Prayitno, Lydia Lia; Purwanto, P.; Subanji, S.; Susiswo, S.; Mutianingsih, Ninik – Journal of Research and Advances in Mathematics Education, 2022
Semantic is associated with the relationship between symbol, reference, and the problem's context involved in the problem-solving process which also involves reasoning and decision-making. Hence, this study describes the characteristics of students' semantic reasoning to solve the double discounts problem. 51 high school students in Sidoarjo…
Descriptors: Foreign Countries, High School Students, Abstract Reasoning, Problem Solving
Abramov, Olga; Kern, Friederike; Koutalidis, Sofia; Mertens, Ulrich; Rohlfing, Katharina; Kopp, Stefan – Cognitive Science, 2021
When young children learn to use language, they start to use their hands in co-verbal gesturing. There are, however, considerable differences between children, and it is not completely understood what these individual differences are due to. We studied how children at 4 years of age employ speech and iconic gestures to convey meaning in different…
Descriptors: Cognitive Ability, Semantics, Speech, Nonverbal Communication
Banaruee, Hassan; Khoshsima, Hooshang; Zare-Behtash, Esmail; Yarahmadzehi, Nahid – Cogent Education, 2019
Describing the processes of metaphor comprehension has been a hot topic of discussion among researchers throughout the past four decades. One of the major challenges has been to find a mechanism that can describe the processes involved in the comprehension of various kinds of metaphors. This article suggests that different types of metaphors could…
Descriptors: Figurative Language, Reading Comprehension, Concept Formation, Abstract Reasoning
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
Adger, David – First Language, 2020
The syntactic behaviour of human beings cannot be explained by analogical generalization on the basis of concrete exemplars: analogies in surface form are insufficient to account for human grammatical knowledge, because they fail to hold in situations where they should, and fail to extend in situations where they need to. [For Ben Ambridge's…
Descriptors: Syntax, Figurative Language, Models, Generalization
Naigles, Letitia R. – First Language, 2020
This commentary critiques Ambridge's radical exemplar model of language acquisition using research from the Longitudinal Study of Early Language, which has tracked the language development of 30+ children with Autism Spectrum Disorders (ASD) since 2002. This research has demonstrated that the children's capacity for abstraction at the grammatical…
Descriptors: Language Acquisition, Longitudinal Studies, Grammar, Models
Chandler, Steve – First Language, 2020
Ambridge reviews and augments an impressive body of research demonstrating both the advantages and the necessity of an exemplar-based model of knowledge of one's language. He cites three computational models that have been applied successfully to issues of phonology and morphology. Focusing on Ambridge's discussion of sentence-level constructions,…
Descriptors: Models, Figurative Language, Language Processing, Language Acquisition
Jones, Michael N. – Grantee Submission, 2018
Abstraction is a core principle of Distributional Semantic Models (DSMs) that learn semantic representations for words by applying dimensional reduction to statistical redundancies in language. Although the posited learning mechanisms vary widely, virtually all DSMs are prototype models in that they create a single abstract representation of a…
Descriptors: Abstract Reasoning, Semantics, Memory, Learning Processes
Matthews, Blair – Intercultural Education, 2020
Reflexivity refers to the capacity for individuals to understand the cultural system and manage their own position within it. Reflexivity is a key concept in the understanding of intercultural communication, particularly in recognising the ability for individuals to understand and adapt to new cultural contexts. However, the prevailing methods…
Descriptors: Role, Cultural Awareness, Intercultural Communication, Acculturation