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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
Mark L. Davison; David J. Weiss; Joseph N. DeWeese; Ozge Ersan; Gina Biancarosa; Patrick C. Kennedy – Journal of Educational and Behavioral Statistics, 2023
A tree model for diagnostic educational testing is described along with Monte Carlo simulations designed to evaluate measurement accuracy based on the model. The model is implemented in an assessment of inferential reading comprehension, the Multiple-Choice Online Causal Comprehension Assessment (MOCCA), through a sequential, multidimensional,…
Descriptors: Cognitive Processes, Diagnostic Tests, Measurement, Accuracy
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Huili Zhang; Guoliang Xu – International Journal of Web-Based Learning and Teaching Technologies, 2025
The process of building a teaching platform for contemporary Chinese literature poses many challenges. Based on big data research, this study was conducted using diversified intelligent analysis technology and theory. Through a fuzzy analytic hierarchy process method and relevant steps regarding intelligent parameter improvement, this study…
Descriptors: Multiple Intelligences, Foreign Countries, Chinese, Literature
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Jorge Salas – Journal of Educational Measurement, 2024
Despite the growing interest in incorporating response time data into item response models, there has been a lack of research investigating how the effect of speed on the probability of a correct response varies across different groups (e.g., experimental conditions) for various items (i.e., differential response time item analysis). Furthermore,…
Descriptors: Item Response Theory, Reaction Time, Models, Accuracy
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Prinz, Anja; Golke, Stefanie; Wittwer, Jörg – Educational Psychology Review, 2020
This meta-analysis investigated the extent to which relative metacomprehension accuracy can be increased by interventions that aim to support learners' use of situation-model cues as a basis for judging their text comprehension. These interventions were delayed-summary writing, delayed-keywords listing, delayed-diagram completion, self-explaining,…
Descriptors: Intervention, Metacognition, Accuracy, Reading Comprehension
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Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Jorge Salas – Grantee Submission, 2024
Despite the growing interest in incorporating response time data into item response models, there has been a lack of research investigating how the effect of speed on the probability of a correct response varies across different groups (e.g., experimental conditions) for various items (i.e., differential response time item analysis). Furthermore,…
Descriptors: Item Response Theory, Reaction Time, Models, Accuracy
Botarleanu, Robert-Mihai; Dascalu, Mihai; Allen, Laura K.; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2021
Text summarization is an effective reading comprehension strategy. However, summary evaluation is complex and must account for various factors including the summary and the reference text. This study examines a corpus of approximately 3,000 summaries based on 87 reference texts, with each summary being manually scored on a 4-point Likert scale.…
Descriptors: Computer Assisted Testing, Scoring, Natural Language Processing, Computer Software
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Crossley, Scott A.; Skalicky, Stephen; Dascalu, Mihai – Journal of Research in Reading, 2019
Background: Advances in natural language processing (NLP) and computational linguistics have facilitated major improvements on traditional readability formulas that aim at predicting the overall difficulty of a text. Recent studies have identified several types of linguistic features that are theoretically motivated and predictive of human…
Descriptors: Natural Language Processing, Readability, Reading Comprehension, Reading Rate
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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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Wagner, Richard K.; Moxley, Jerad; Schatschneider, Chris; Zirps, Fotena A. – Scientific Studies of Reading, 2023
Purpose: Bayesian-based models for diagnosis are common in medicine but have not been incorporated into identification models for dyslexia. The purpose of the present study was to evaluate Bayesian identification models that included a broader set of predictors and that capitalized on recent developments in modeling the prevalence of dyslexia.…
Descriptors: Bayesian Statistics, Identification, Dyslexia, Models
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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
Kara, Yusuf; Kamata, Akihito; Potgieter, Cornelis; Nese, Joseph F. T. – Educational and Psychological Measurement, 2020
Oral reading fluency (ORF), used by teachers and school districts across the country to screen and progress monitor at-risk readers, has been documented as a good indicator of reading comprehension and overall reading competence. In traditional ORF administration, students are given one minute to read a grade-level passage, after which the…
Descriptors: Oral Reading, Reading Fluency, Reading Rate, Accuracy
Kara, Yusuf; Kamata, Akihito; Potgieter, Cornelis; Nese, Joseph F. T. – Grantee Submission, 2020
Oral reading fluency (ORF), used by teachers and school districts across the country to screen and progress monitor at-risk readers, has been documented as a good indicator of reading comprehension and overall reading competence. In traditional ORF administration, students are given one minute to read a grade-level passage, after which the…
Descriptors: Oral Reading, Reading Fluency, Reading Rate, Accuracy
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Psyridou, Maria; Tolvanen, Asko; Patel, Priyanka; Khanolainen, Daria; Lerkkanen, Marja-Kristiina; Poikkeus, Anna-Maija; Torppa, Minna – Scientific Studies of Reading, 2023
Purpose: We aim to identify the most accurate model for predicting adolescent (Grade 9) reading difficulties (RD) in reading fluency and reading comprehension using 17 kindergarten-age variables. Three models (neural networks, linear, and mixture) were compared based on their accuracy in predicting RD. We also examined whether the same or a…
Descriptors: Reading Difficulties, Networks, Artificial Intelligence, Predictor Variables
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