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Zuowei Wang; Tenaha O'Reilly; Michael Flor; Beata Beigman Klebanov; Kelly Bruce – Reading Research Quarterly, 2025
With only about a third of students in US public schools achieving the NAEP Proficient level, many educators believe students are not getting enough reading practice. However, how much reading practice is enough? This study quantifies the relationship between the amount of book reading and the expected number of words learned. We collected 45…
Descriptors: Novels, Childrens Literature, Reading Achievement, Recreational Reading
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Manapat, Patrick D.; Edwards, Michael C. – Educational and Psychological Measurement, 2022
When fitting unidimensional item response theory (IRT) models, the population distribution of the latent trait ([theta]) is often assumed to be normally distributed. However, some psychological theories would suggest a nonnormal [theta]. For example, some clinical traits (e.g., alcoholism, depression) are believed to follow a positively skewed…
Descriptors: Robustness (Statistics), Computational Linguistics, Item Response Theory, Psychological Patterns
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Paul Meara; Imma Miralpeix – Vocabulary Learning and Instruction, 2022
The idea that a vocabulary is a network of words is one that has become a common theme of the second language (L2) vocabulary research literature. However, not many people have considered the wider implications of this powerful metaphor. This paper is the first in a series of workshops that examines some of these implications. In this first…
Descriptors: Second Language Learning, Vocabulary Development, Workshops, Models
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Yufan Zhao; Vahid Aryadoust – Language Testing, 2025
This study examined the semantic features of the simulated mini-lectures in the listening sections of the International English Language Testing System (IELTS) and the Test of English as a Foreign Language (TOEFL) based on automatized semantic analysis to explore the content validity of the two tests. Two study corpora were utilized, the IELTS…
Descriptors: Semantics, Computational Linguistics, Academic Language, Second Language Learning
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Hoppe, Dorothée B.; Rij, Jacolien; Hendriks, Petra; Ramscar, Michael – Cognitive Science, 2020
Linguistic category learning has been shown to be highly sensitive to linear order, and depending on the task, differentially sensitive to the information provided by preceding category markers ("premarkers," e.g., gendered articles) or succeeding category markers ("postmarkers," e.g., gendered suffixes). Given that numerous…
Descriptors: Discrimination Learning, Computational Linguistics, Natural Language Processing, Artificial Languages
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Paul Meara; Imma Miralpeix – Vocabulary Learning and Instruction, 2023
This paper is part 3 of a series of workshops that examine the properties of some simple models vocabulary networks. This Workshop focusses on how the vocabulary network responds when words become easier to activate. The Workshop is linked to an on-line practice room where readers can explore these processes for themselves.
Descriptors: Vocabulary Development, Psycholinguistics, Language Processing, Workshops
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Robert-Mihai Botarleanu; Micah Watanabe; Mihai Dascalu; Scott A. Crossley; Danielle S. McNamara – International Journal of Artificial Intelligence in Education, 2024
Age of Acquisition (AoA) scores approximate the age at which a language speaker fully understands a word's semantic meaning and represent a quantitative measure of the relative difficulty of words in a language. AoA word lists exist across various languages, with English having the most complete lists that capture the largest percentage of the…
Descriptors: Multilingualism, English (Second Language), Second Language Learning, Second Language Instruction
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Chunli Yang; Siti Ezaleila Mustafa – Eurasian Journal of Applied Linguistics, 2024
This study investigates the integration of advanced technologies to improve the translation and dissemination of Chinese museum culture through multimodal approaches. The primary aim is to incorporate Artificial Intelligence (AI) and big data to enhance the quality and accessibility of cultural exhibits. Current challenges in the translation and…
Descriptors: Museums, Technology Integration, Artificial Intelligence, Exhibits
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Ison, David C. – Online Learning, 2020
"Contract cheating," instances in which a student enlists someone other than themselves to produce coursework, has been identified as a growing problem within academic integrity literature and in news headlines. The percentage of students who have used this type of cheating has been reported to range between 6% and 15.7%. Generational…
Descriptors: Cheating, Contracts, Language Styles, Computational Linguistics
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de Zubicaray, Greig I.; Arciuli, Joanne; Kearney, Elaine; Guenther, Frank; McMahon, Katie L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Grounded or embodied cognition research has employed body-object interaction (BOI; e.g., Pexman et al., 2019) ratings to investigate sensorimotor effects during language processing. We investigated relationships between BOI ratings and nonarbitrary statistical mappings between words' phonological forms and their syntactic category in English;…
Descriptors: Language Processing, Psychomotor Skills, English, Predictor Variables
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Viviane Florentino de Melo; Rodrigo Drumond Vieira – Journal of Education and Learning, 2023
In this article, we focus on a set of remote activities regarding simulated juries, judges' evaluations, communication of verdicts, and a post-discussion conversation. These activities aimed to promote learning of the preservice teachers about the differences between remote and in-person teaching in a chemistry teaching methods course. The set of…
Descriptors: Chemistry, Science Instruction, Methods Courses, Preservice Teachers
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Brouwer, Harm; Crocker, Matthew W.; Venhuizen, Noortje J.; Hoeks, John C. J. – Cognitive Science, 2017
Ten years ago, researchers using event-related brain potentials (ERPs) to study language comprehension were puzzled by what looked like a "Semantic Illusion": Semantically anomalous, but structurally well-formed sentences did not affect the N400 component--traditionally taken to reflect semantic integration--but instead produced a P600…
Descriptors: Diagnostic Tests, Brain Hemisphere Functions, Language Processing, Semantics
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Çöltekin, Çagri – Cognitive Science, 2017
This study investigates a strategy based on predictability of consecutive sub-lexical units in learning to segment a continuous speech stream into lexical units using computational modeling and simulations. Lexical segmentation is one of the early challenges during language acquisition, and it has been studied extensively through psycholinguistic…
Descriptors: Speech Communication, Phonemes, Prediction, Computational Linguistics
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Montag, Jessica L.; Jones, Michael N.; Smith, Linda B. – Cognitive Science, 2018
The words in children's language learning environments are strongly predictive of cognitive development and school achievement. But how do we measure language environments and do so at the scale of the many words that children hear day in, day out? The quantity and quality of words in a child's input are typically measured in terms of total amount…
Descriptors: Language Acquisition, Vocabulary Development, Linguistic Input, Prediction
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González-Lloret, Marta – Language Learning & Technology, 2021
In order to develop pragmatic competence in a language other than our own (L2), it is important to have enough knowledge of the cultural norms of the target language and enough opportunities to interact with a wide range of speakers to deploy different speech acts, registers, levels of politeness, conversational moves, and the like. The…
Descriptors: Pragmatics, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
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