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Evelien Mulder; Marco van de Ven; Eliane Segers; Alexander Krepel; Elise H. de Bree; Peter F. de Jong; Ludo Verhoeven – Journal of Research in Reading, 2024
Background: Word-to-text integration (WTI) can be challenging for second-language (L2) learners, although it can positively contribute to reading comprehension. The present study examined the role of WTI, after controlling for decoding, vocabulary and morphosyntactic awareness, in predicting English as an L2 reading comprehension development in…
Descriptors: Reading Comprehension, English (Second Language), Second Language Learning, Semantics
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Lisa Marie Ripoll Y Schmitz; Philipp Sonnleitner – Large-scale Assessments in Education, 2025
Background: The increasing capabilities of generative artificial intelligence (AI), exemplified by OpenAI's transformer-based language model GPT-4 (ChatGPT), have drawn attention to its application in educational contexts. This study evaluates the potential of such models in generating German reading comprehension texts for educational large-scale…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Written Language
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Takumi Kosaka – Reading and Writing: An Interdisciplinary Journal, 2025
This study examines context effects on lexical processing by low-proficiency Japanese learners of English during sentence comprehension, and the role of individual differences in verbal working memory (WM). Thirty Japanese learners of English as a second language (L2) and 27 speakers of English as a first language (L1) were recruited for a…
Descriptors: Second Language Learning, English (Second Language), Foreign Countries, Lexicology
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Wesley Morris; Scott Crossley; Langdon Holmes; Chaohua Ou; Mihai Dascalu; Danielle McNamara – International Journal of Artificial Intelligence in Education, 2025
As intelligent textbooks become more ubiquitous in classrooms and educational settings, the need to make them more interactive arises. An alternative is to ask students to generate knowledge in response to textbook content and provide feedback about the produced knowledge. This study develops Natural Language Processing models to automatically…
Descriptors: Formative Evaluation, Feedback (Response), Textbooks, Artificial Intelligence
Yunyan Duan – ProQuest LLC, 2021
This dissertation provides evidence that reading is best explained as rational gathering of visual information to identify words efficiently. Although empirical evidence from human reading research suggests a close link between eye movements and cognitive process, it is not clear how readers decide when and where to move their eyes as a function…
Descriptors: Word Recognition, Eye Movements, Reading Processes, Decision Making
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Seongsil Lee; Yasmeen Faroqi-Shah – Journal of Speech, Language, and Hearing Research, 2024
Purpose: The present meta-analysis investigated the efficacy of anomia treatment in bilingual and multilingual persons with aphasia (BPWAs) by assessing the magnitudes of six anomia treatment outcomes. Three of the treatment outcomes pertained to the "trained language": improvement of trained words (treatment effect [TE]),…
Descriptors: Meta Analysis, Naming, Aphasia, Bilingualism
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Muhammad Mooneeb Ali; Ahmed M. Alaa; Wael Alharbi; Issa Al Qurashi – International Journal of Technology in Education, 2025
Machine and prompt-based Artificial Intelligence (AI) learning has made significant evolution profusely. In education, it has revitalized researchers and educators to scout out subsequent advantages for optimizing learning results. Chiefly, Generative AI has exhibited substantial potential as a tool for language augmentation. This study aims to…
Descriptors: Foreign Countries, Grade 10, Artificial Intelligence, Natural Language Processing
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Eduardo Davalos; Yike Zhang; Namrata Srivastava; Jorge Alberto Salas; Sara McFadden; Sun-Joo Cho; Gautam Biswas; Amanda Goodwin – Grantee Submission, 2025
Reading assessments are essential for enhancing students' comprehension, yet many EdTech applications focus mainly on outcome-based metrics, providing limited insights into student behavior and cognition. This study investigates the use of multimodal data sources -- including eye-tracking data, learning outcomes, assessment content, and teaching…
Descriptors: Natural Language Processing, Learning Analytics, Reading Tests, Reading Comprehension
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Liao, Xian; Cai, Mingjia; Hung, Cathy On-Ying – Reading Research Quarterly, 2023
Robust relation has been revealed previously between the components of executive function (EF) and reading comprehension performance. However, the specific role of EF in the reading processes remains relatively underexplored. Within the framework of the lexical quality hypothesis (LQH), this study examined the contribution of EF to the lexical…
Descriptors: Executive Function, Language Processing, Reading Comprehension, Reading Achievement
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Carolyn Baker; Tracy Love – Journal of Speech, Language, and Hearing Research, 2023
Purpose: Lexical processing impairments such as delayed and reduced activation of lexical-semantic information have been linked to syntactic processing disruptions and sentence comprehension deficits in individuals with aphasia (IWAs). Lexical-level deficits can also preclude successful lexical encoding during sentence processing and amplify the…
Descriptors: Aphasia, Semantics, Networks, Language Processing
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Liubov Darzhinova; Zoe Pei-sui Luk – Journal of Psycholinguistic Research, 2024
The study tested how the Recency Preference and Predicate Proximity model (Gibson et al. in Cognition 59(1):23-59, 1996, https://doi.org/10.1016/0010-0277(88)90004-2) plays out by examining the attachment preferences of native Russian speakers when processing locally ambiguous participial relative clause sentences with three potential NP…
Descriptors: Form Classes (Languages), Sentences, Russian, Language Processing
Edward J. Alexander – ProQuest LLC, 2024
Psycholinguistic research aims to understand how people make sense of language in their everyday lives. However, most of this research studies language under experimental conditions in which people are instructed to specifically monitor (and indicate) when there is a breakdown in their understanding. Moreover, there is an assumption that people…
Descriptors: Reading Comprehension, Reading Skills, Psycholinguistics, Reading Research
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Linh Huynh; Danielle S. McNamara – Grantee Submission, 2025
We conducted two experiments to assess the alignment between Generative AI (GenAI) text personalization and hypothetical readers' profiles. In Experiment 1, four LLMs (i.e., Claude 3.5 Sonnet; Llama; Gemini Pro 1.5; ChatGPT 4) were prompted to tailor 10 science texts (i.e., biology, chemistry, physics) to accommodate four different profiles…
Descriptors: Natural Language Processing, Profiles, Individual Differences, Semantics
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Chen, Xuemei; Hartsuiker, Robert J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Arai et al. (2007) showed that structural priming in the comprehension of English dative sentences only occurred when the verb was repeated between prime and target, suggesting a lexically-dependent mechanism of structure prediction. However, a recent study in Mandarin comprehension found abstract (verb-independent) structural priming and such…
Descriptors: Indo European Languages, Reading Comprehension, Priming, Prediction
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Émilie Laplante; Valérie Geraghty; Emalie Hendel; René-Pierre Sonier; Dominic Guitard; Jean Saint-Aubin – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
When readers are asked to detect a target letter while reading for comprehension, they miss it more frequently when it is embedded in a frequent function word than in a less frequent content word. This missing-letter effect has been used to investigate the cognitive processes involved in reading. A similar effect, called the missing-phoneme effect…
Descriptors: Auditory Perception, Written Language, Phonemes, Morphology (Languages)
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