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Roderick Peele; Kindel Turner Nash – Reading Teacher, 2025
Culture and language shape the way people read. Yet, within many popular reading models of reading development, culture is a component, if featured at all. Illustrated through examples of pro-Black, culturally sustaining, emancipatory practices of one teacher, this article highlights the Cultural Sustenance View of Reading, a reader model that can…
Descriptors: Reading Research, Reading Processes, Cultural Influences, Reading Teachers
Signy Wegener; Anne Castles; Elisabeth Beyersmann; Kate Nation; Hua-Chen Wang; Erik D. Reichle – Reading Research Quarterly, 2025
Spreading out study opportunities over time improves the retention of verbal material compared to consecutive study, yet little is known about the influence of temporal spacing on orthographic learning specifically. The current study addressed four questions: (1) do readers' eye movements during orthographic learning differ under spaced and massed…
Descriptors: Eye Movements, Simulation, Intervals, Orthographic Symbols
Nathan Lowien; Damon P. Thomas – Australian Journal of Language and Literacy, 2025
Cognitive-informed reading education research utilises models that are underpinned by the notion that reading is a mental process of word recognition multiplied by language comprehension. Examples of these models include the Simple View of Reading, the Cognitive Foundations Framework, the Reading Rope and the Active Model of Reading. These models…
Descriptors: Reading Research, Reading Instruction, Reading Processes, Word Recognition
Hoover, Wesley A.; Tunmer, William E. – Reading Research Quarterly, 2022
A recent article in this journal claims that the simple view of reading represents a long-outdated account of what underlies the ability to read. Its authors argue that if teachers are to be better informed about what is known about reading then the simple view must be replaced by a more current model, one that captures the substantial progress…
Descriptors: Reading Research, Reading Skills, Models, Misconceptions
Michelle L. Rizzella; Edward J. O'Brien – Discourse Processes: A Multidisciplinary Journal, 2024
We examined the impact of prospective information on the processing of information occurring within the present timeline of narrative stories. Participants read target sentences that were consistent with events occurring within a protagonist's present timeline but inconsistent with events in the protagonist's future. When prospective information…
Descriptors: Information Literacy, Information Processing, Sentences, Memory
Chao-Jung Wu; Chia-Yu Liu – Journal of Computer Assisted Learning, 2025
Background: Although comprehending illustrated texts is essential, adult readers in this era may not have acquired reading comprehension strategies. Eye-movement modelling example (EMME) is promising for helping less-skilled learners master these strategies; however, its benefits for adults remain unknown. Another understudied factor in the EMME…
Descriptors: Eye Movements, Models, Reading Strategies, Reading Comprehension
Stephen J. Lupker; Giacomo Spinelli – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Rastle et al. (2004) reported that true (e.g., walker) and pseudo (e.g., corner) multi-morphemic words prime their stem words more than form controls do (e.g., brothel priming BROTH) in a masked priming lexical decision task. This data pattern has led a number of models to propose that both of the former word types are "decomposed" into…
Descriptors: Models, Morphemes, Priming, Vocabulary
Dragos Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2023
Reading comprehension is essential for both knowledge acquisition and memory reinforcement. Automated modeling of the comprehension process provides insights into the efficacy of specific texts as learning tools. This paper introduces an improved version of the Automated Model of Comprehension, version 3.0 (AMoC v3.0). AMoC v3.0 is based on two…
Descriptors: Reading Comprehension, Models, Concept Mapping, Graphs
Paul Meara; Imma Miralpeix – Vocabulary Learning and Instruction, 2025
This paper is part 5 of a series of workshops that examines the properties of some simple models of vocabulary networks. While previous workshops dealt with activating words in the network, this workshop focuses on vocabulary loss. We will simulate two possible ways of modelling attrition: (a) explicitly turning active words OFF, and (b) raising…
Descriptors: Vocabulary Development, Workshops, Models, Networks
Meeter, Martijn; Marzouki, Yousri; Avramiea, Arthur E.; Snell, Joshua; Grainger, Jonathan – Cognitive Science, 2020
When reading, orthographic information is extracted not only from the word the reader is looking at, but also from adjacent words in the parafovea. Here we examined, using the recently introduced OB1-reader computational model, how orthographic information can be processed in parallel across multiple words and how orthographic information can be…
Descriptors: Word Recognition, Reading Processes, Models, Attention
Masato Nakamura; Shota Momma; Hiromu Sakai; Colin Phillips – Cognitive Science, 2024
Comprehenders generate expectations about upcoming lexical items in language processing using various types of contextual information. However, a number of studies have shown that argument roles do not impact neural and behavioral prediction measures. Despite these robust findings, some prior studies have suggested that lexical prediction might be…
Descriptors: Diagnostic Tests, Nouns, Language Processing, Verbs
Clark, Catherine; Guediche, Sara; Lallier, Marie – Reading and Writing: An Interdisciplinary Journal, 2021
Reading involves mapping combinations of a learned visual code (letters) onto meaning. Previous studies have shown that when visual word recognition is challenged by visual degradation, one way to mitigate these negative effects is to provide "top-down" contextual support through a written congruent sentence context. Crowding is a…
Descriptors: Reading Processes, Word Recognition, Visual Impairments, Semantics
Bogdan Nicula; Mihai Dascalu; Tracy Arner; Renu Balyan; Danielle S. McNamara – Grantee Submission, 2023
Text comprehension is an essential skill in today's information-rich world, and self-explanation practice helps students improve their understanding of complex texts. This study was centered on leveraging open-source Large Language Models (LLMs), specifically FLAN-T5, to automatically assess the comprehension strategies employed by readers while…
Descriptors: Reading Comprehension, Language Processing, Models, STEM Education
van Schijndel, Marten; Linzen, Tal – Cognitive Science, 2021
The disambiguation of a syntactically ambiguous sentence in favor of a less preferred parse can lead to slower reading at the disambiguation point. This phenomenon, referred to as a garden-path effect, has motivated models in which readers initially maintain only a subset of the possible parses of the sentence, and subsequently require…
Descriptors: Syntax, Ambiguity (Semantics), Reading Processes, Linguistic Theory
Patience Stevens; David C. Plaut – Grantee Submission, 2022
The morphological structure of complex words impacts how they are processed during visual word recognition. This impact varies over the course of reading acquisition and for different languages and writing systems. Many theories of morphological processing rely on a decomposition mechanism, in which words are decomposed into explicit…
Descriptors: Written Language, Morphology (Languages), Word Recognition, Reading Processes

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