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Dragos-Georgian Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…
Descriptors: Computer Software, Artificial Intelligence, Learning Analytics, Natural Language Processing
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Husni Almoubayyed; Stephen E. Fancsali; Steve Ritter – International Educational Data Mining Society, 2023
Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been developed. These models aim to deliver experiences that consider factors related to learning beyond…
Descriptors: Prediction, Models, Reading Ability, Computer Software
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Ibrahim A. Asadi; Ronen Kasperski – Journal of Psycholinguistic Research, 2024
This study aimed to examine the validity of the "simple view of reading" (SVR) model in the diglossic Arabic language. Using a longitudinal design, we tested whether decoding and listening comprehension (LC) in kindergarten can later predict reading comprehension (RC) in the first grade and whether the contribution of LC to RC differs…
Descriptors: Reading Comprehension, Kindergarten, Models, Dialects
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Gutiérrez, Nuria; Rigobon, Valeria M.; Marencin, Nancy C.; Edwards, Ashley A.; Steacy, Laura M.; Compton, Donald L. – Scientific Studies of Reading, 2023
Purpose: Fourth grade typically involves shifting the instruction from "learning to read" to "reading to learn," which can cause students to struggle. However, early reading intervention guided by assessment has demonstrated effectiveness in preventing later reading difficulties (RD). This study presents a classification and…
Descriptors: Elementary School Students, Grade 1, Grade 4, Models
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Caruso, Megan; Peacock, Candace E.; Southwell, Rosy; Zhou, Guojing; D'Mello, Sidney K. – International Educational Data Mining Society, 2022
What can eye movements reveal about reading, a complex skill ubiquitous in everyday life? Research suggests that gaze can reflect short-term comprehension for facts, but it is unknown whether it can measure long-term, deep comprehension. We tracked gaze while 147 participants read long, connected, informative texts and completed assessments of…
Descriptors: Eye Movements, Reading Comprehension, Inferences, Prediction
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Forthmann, Boris; Förster, Natalie; Souvignier, Elmar – Journal of Intelligence, 2022
Monitoring the progress of student learning is an important part of teachers' data-based decision making. One such tool that can equip teachers with information about students' learning progress throughout the school year and thus facilitate monitoring and instructional decision making is learning progress assessments. In practical contexts and…
Descriptors: Learning Processes, Progress Monitoring, Robustness (Statistics), Bayesian Statistics
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Braasch, Jason L. G.; Kessler, Erica D. – Discourse Processes: A Multidisciplinary Journal, 2021
Comprehension substantially benefits from attending to, thinking about, and mentally representing the sources of any presented information. Such processes require mental effort and unfortunately people do not always engage in such activities. The current article presents a nascent, evolving model of discourse comprehension that formalizes…
Descriptors: Language Processing, Reading Comprehension, Discourse Analysis, Prediction
Nicula, Bogdan; Perret, Cecile A.; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2020
Open-ended comprehension questions are a common type of assessment used to evaluate how well students understand one of multiple documents. Our aim is to use natural language processing (NLP) to infer the level and type of inferencing within readers' answers to comprehension questions using linguistic and semantic features within their responses.…
Descriptors: Natural Language Processing, Taxonomy, Responses, Semantics
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Wu, Chao-Jung; Liu, Chia-Yu; Yang, Chung-Hsuan; Jian, Yu-Cin – European Journal of Psychology of Education, 2021
Despite decades of research on the close link between eye movements and human cognitive processes, the exact nature of the link between eye movements and deliberative thinking in problem-solving remains unknown. Thus, this study explored the critical eye-movement indicators of deliberative thinking and investigated whether visual behaviors could…
Descriptors: Eye Movements, Reading Comprehension, Screening Tests, Scores
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D'Mello, Sidney K.; Southwell, Rosy; Gregg, Julie – Discourse Processes: A Multidisciplinary Journal, 2020
We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…
Descriptors: Discourse Analysis, Computer Software, Intervention, Computational Linguistics
Botarleanu, Robert-Mihai; Dascalu, Mihai; Watanabe, Micah; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2022
Age of acquisition (AoA) is a measure of word complexity which refers to the age at which a word is typically learned. AoA measures have shown strong correlations with reading comprehension, lexical decision times, and writing quality. AoA scores based on both adult and child data have limitations that allow for error in measurement, and increase…
Descriptors: Age Differences, Vocabulary Development, Correlation, Reading Comprehension
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Sinclair, Jeanne; Jang, Eunice Eunhee; Rudzicz, Frank – Journal of Educational Psychology, 2021
Advances in machine learning (ML) are poised to contribute to our understanding of the linguistic processes associated with successful reading comprehension, which is a critical aspect of children's educational success. We used ML techniques to investigate and compare associations between children's reading comprehension and 260 linguistic…
Descriptors: Prediction, Reading Comprehension, Natural Language Processing, Speech Communication
Tavarez DaCosta, Pedro; Herrera Gutierrez, Yerni – Online Submission, 2020
Universidad Tecnológica de Santiago (UTESA) is a university considered as one of the highest ranking universities in the Dominican Republic, it is one of the few to be recognized by the Ministry of Higher Education, Science and Technology as an autonomous university for its constant research and updating. This university offers to college students…
Descriptors: Foreign Countries, Reading Comprehension, English (Second Language), Second Language Learning
Saekyun H. Lee – ProQuest LLC, 2021
The heightened importance of foreign languages (L2) in the post 9-11 world demands more L2 listening research as listening is considered the most critical skill for most American military linguists. Some larger studies show that lexical knowledge can positively affect L2 listening (Chang, 2007; Mehrpour & Rahimi, 2010; Staehr, 2009), yet…
Descriptors: Second Language Learning, Second Language Instruction, Grade Point Average, Grades (Scholastic)
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Mimeau, Catherine; Ricketts, Jessie; Deacon, S. Hélène – Scientific Studies of Reading, 2018
We tested the theoretically driven hypotheses that children's orthographic and semantic learning are associated with their word reading and reading comprehension skills, even when orthographic and semantic knowledge are taken into account. A sample of 139 English-speaking Grade 3 children completed a learning task in which they read stories about…
Descriptors: Role, Reading Processes, Reading Comprehension, Semantics
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