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Jianing Zhou; Ziheng Zeng; Hongyu Gong; Suma Bhat – Grantee Submission, 2022
Idiomatic expressions (IEs) play an essential role in natural language. In this paper, we study the task of idiomatic sentence paraphrasing (ISP), which aims to paraphrase a sentence with an IE by replacing the IE with its literal paraphrase. The lack of large scale corpora with idiomatic-literal parallel sentences is a primary challenge for this…
Descriptors: Language Patterns, Sentences, Language Processing, Phrase Structure
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
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Arun-Balajiee Lekshmi-Narayanan; Priti Oli; Jeevan Chapagain; Mohammad Hassany; Rabin Banjade; Vasile Rus – Grantee Submission, 2024
Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide…
Descriptors: Coding, Computer Science Education, Computational Linguistics, Artificial Intelligence
Botarleanu, Robert-Mihai; Dascalu, Mihai; Watanabe, Micah; McNamara, Danielle S.; Crossley, Scott Andrew – Grantee Submission, 2021
The ability to objectively quantify the complexity of a text can be a useful indicator of how likely learners of a given level will comprehend it. Before creating more complex models of assessing text difficulty, the basic building block of a text consists of words and, inherently, its overall difficulty is greatly influenced by the complexity of…
Descriptors: Multilingualism, Language Acquisition, Age, Models
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
Allen, Laura K.; Mills, Caitlin; Perret, Cecile; McNamara, Danielle S. – Grantee Submission, 2019
This study examines the extent to which instructions to self-explain vs. "other"-explain a text lead readers to produce different forms of explanations. Natural language processing was used to examine the content and characteristics of the explanations produced as a function of instruction condition. Undergraduate students (n = 146)…
Descriptors: Language Processing, Science Instruction, Computational Linguistics, Teaching Methods
McNamara, Danielle S. – Grantee Submission, 2020
This article provides a commentary within the special issue, Integration: The Keystone of Comprehension. According to most contemporary frameworks, a driving force in comprehension is the reader's ability to generate the links among the words and sentences (ideas) in the texts and between the ideas in the text and what the readers already know. As…
Descriptors: Inferences, Language Processing, Reading Comprehension, Reading Research
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HyeJin Hwang; Seohyeon Choi; Manjary Guha; Kristen McMaster; Rina Harsch; Panayiota Kendeou – Grantee Submission, 2024
In the current study, we investigated the role of executive functions in explaining how word recognition and language comprehension jointly predict reading comprehension in multilingual and monolingual students (Grades 1 and 2). Specifically, mediation and moderation models were tested and compared to offer a more nuanced understanding of the role…
Descriptors: Executive Function, Reading Comprehension, Word Recognition, Multilingualism
John Hollander; John Sabatini; Art Graesser; Daphne Greenberg; Tenaha O'Reilly; Jan Frijters – Grantee Submission, 2023
Adult literacy learners are characterized by their diversity, both in terms of educational histories and cognitive skill sets. Accounting for the specific strengths and weaknesses of each learner is vital to the assessment of literacy gains and optimization of educational systems. We examined pre- and post-difference scores on a component reading…
Descriptors: Adult Literacy, Adult Education, Adult Students, Student Characteristics
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Butterfuss, Reese; Kendeou, Panayiota; McMaster, Kristen L.; Orcutt, Elly; Bulut, Okan – Grantee Submission, 2021
We examined the extent to which the timing of inferential questioning influenced kindergartners' inferencing performance in a non-reading context, while also taking into account individual differences in language comprehension and executive function. Students completed the eight-week Early Language Comprehension Individualized Instruction (ELCII)…
Descriptors: Kindergarten, Young Children, Reading Comprehension, Inferences
Konishi, Haruka; Brezack, Natalie; Golinkoff, Roberta Michnick; Hirsh-Pasek, Kathy – Grantee Submission, 2019
Infants appear to progress from universal to language-specific event perception. In Japanese, two different verbs describe a person crossing a "bounded ground" (e.g., street) versus an unbounded ground (e.g., field) while in English, the same verb -- "crossing" -- describes both events. Interestingly, Japanese "and"…
Descriptors: Infants, Cognitive Processes, Verbs, Japanese
Daniel P. Feller; Amani Talwar; Daphne Greenberg; Ryan D. Kopatich; Joseph P. Magliano – Grantee Submission, 2023
Background: A significant portion of adults struggle to read at a basic level. Word reading (defined here as decoding and word recognition) appears to play a pivotal role for this population of readers; however, less is known about how word reading relates to other important semantic processes (e.g., vocabulary, sentence processing) known to…
Descriptors: Correlation, Word Recognition, Reading Comprehension, Reading Processes
Johns, Brendan T.; Jones, Michael N.; Mewhort, D. J. K. – Grantee Submission, 2019
To account for natural variability in cognitive processing, it is standard practice to optimize a model's parameters by fitting it to behavioral data. Although most language-related theories acknowledge a large role for experience in language processing, variability reflecting that knowledge is usually ignored when evaluating a model's fit to…
Descriptors: Language Processing, Models, Information Sources, Linguistics
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Taylor Lesner; Ben Clarke; Derek Kosty; Geovanna Rodriguez; Elizabeth L. Budd; Christian Doabler – Grantee Submission, 2025
This secondary analysis of data from a randomized control trial of an early mathematics intervention, ROOTS, explored whether patterns of intervention response were best categorized by the typical response/non-response binary or a more complex framework with additional response profiles. Participants included kindergarten students at risk for…
Descriptors: Mathematics Instruction, Response to Intervention, At Risk Students, Kindergarten
Ruthe Foushee; Dan Byrne; Marisa Casillas; Susan Goldin-Meadow – Grantee Submission, 2022
Linguistic alignment--the contingent reuse of our interlocutors' language at all levels of linguistic structure--pervades human dialogue. Here, we design unique measures to capture the degree of linguistic alignment between interlocutors' linguistic representations at three levels of structure: lexical, syntactic, and semantic. We track these…
Descriptors: Semantics, Syntax, Vocabulary Skills, Models
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