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Kun Sun; Rong Wang – Cognitive Science, 2025
The majority of research in computational psycholinguistics on sentence processing has focused on word-by-word incremental processing within sentences, rather than holistic sentence-level representations. This study introduces two novel computational approaches for quantifying sentence-level processing: sentence surprisal and sentence relevance.…
Descriptors: Reading Rate, Reading Comprehension, Sentences, Computation
Michaela Socolof; Timothy J. O'Donnell; Michael Wagner – Cognitive Science, 2025
It has been repeatedly found that idioms are processed faster than syntactically matched literal phrases, in both comprehension and production. This has led to debate about whether idioms are accessed as chunks or built compositionally, with different studies attempting to measure the effect of compositionality on processing, with differing…
Descriptors: Language Patterns, Sentences, Reading Comprehension, Language Processing
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
Owen Henkel; Libby Hills; Bill Roberts; Joshua McGrane – International Journal of Artificial Intelligence in Education, 2025
Formative assessment plays a critical role in improving learning outcomes by providing feedback on student mastery. Open-ended questions, which require students to produce multi-word, nontrivial responses, are a popular tool for formative assessment as they provide more specific insights into what students do and do not know. However, grading…
Descriptors: Artificial Intelligence, Grading, Reading Comprehension, Natural Language Processing
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
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
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
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
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
Chanyuan Gu; Samuel A. Nastase; Zaid Zada; Ping Li – npj Science of Learning, 2025
While evidence has accumulated to support the argument of shared computational mechanisms underlying language comprehension between humans and large language models (LLMs), few studies have examined this argument beyond native-speaker populations. This study examines whether and how alignment between LLMs and human brains captures the homogeneity…
Descriptors: Reading Comprehension, Native Language, Second Language Learning, Brain Hemisphere Functions
Feiwen Xiao; Ellen Wenting Zou; Jiaju Lin; Zhaohui Li; Dandan Yang – British Journal of Educational Technology, 2025
Large language model (LLM)-based conversational agents (CAs), with their advanced generative capabilities and human-like conversational interfaces, can serve as reading partners for children during dialogic reading and have shown promise in enhancing children's comprehension and conversational skills. However, there is limited research on the…
Descriptors: Childrens Literature, Electronic Books, Artificial Intelligence, Natural Language Processing
Ai Nhan Nguyen; Tuan Van Vu; Thuy Thanh Le – International Journal of Language Education, 2025
Legal language is characterized by its specialized lexicology, often formed through derivational processes such as affixation, nominalization, and semantic derivation, making legal texts more challenging to understand. This research examined how university students majoring in legal English linguistics recognize, interpret, and manage the…
Descriptors: Dictionaries, Laws, Language Styles, Lexicology
Gavin Bui; Weiran Zhang – Reading in a Foreign Language, 2025
This mixed-methods study investigated the impact of musical lyrics and working memory capacities on second language (L2) English reading comprehension among adult Chinese native speakers. Participants were 57 adult ESL learners with advanced L2 proficiency, divided into high and low working memory capacity groups based on a pre-test. They…
Descriptors: Music, Singing, Second Language Learning, Second Language Instruction
Amir Mahshanian; Mohammadtaghi Shahnazari; Ahmad Moinzadeh – TESL-EJ, 2025
This study investigates the relationships among working memory (WM), syntactic parsing ability (SP), and L2 reading performance across varying proficiency levels. A cohort of 120 L1-Persian EFL learners was categorized into beginner, intermediate, and advanced proficiency groups based on their IELTS scores. Participants completed a reading span…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Reading Achievement
Galit Ben-Zvi; Hadass Landau; Dorit Ravid – First Language, 2025
We investigate the development of text reconstruction abilities in Hebrew-speaking children, with a particular focus on verbal passive constructions. The acquisition of verbal passives in Hebrew is a late developmental milestone, closely tied to the expression of event semantics. The current study explores how narrative and informative text genres…
Descriptors: Hebrew, Native Language, Language Acquisition, Semantics

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