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Hansol Lee; Jang Ho Lee – Review of Educational Research, 2024
This study used a meta-analytic structural equation modeling approach to build extended versions of the simple view of reading (SVR) model in second and foreign language (SFL) learning contexts (i.e., SVR-SFL). Based on the correlation coefficients derived from primary studies, we replicated and integrated two previous extended meta-analytic SVR…
Descriptors: Second Language Learning, Reading, Decoding (Reading), Reading Comprehension
Joemari Olea; Kevin Carl Santos – Journal of Educational and Behavioral Statistics, 2024
Although the generalized deterministic inputs, noisy "and" gate model (G-DINA; de la Torre, 2011) is a general cognitive diagnosis model (CDM), it does not account for the heterogeneity that is rooted from the existing latent groups in the population of examinees. To address this, this study proposes the mixture G-DINA model, a CDM that…
Descriptors: Cognitive Measurement, Models, Algorithms, Simulation
Michelle L. Rizzella; Edward J. O'Brien – Discourse Processes: A Multidisciplinary Journal, 2024
We examined the impact of prospective information on the processing of information occurring within the present timeline of narrative stories. Participants read target sentences that were consistent with events occurring within a protagonist's present timeline but inconsistent with events in the protagonist's future. When prospective information…
Descriptors: Information Literacy, Information Processing, Sentences, Memory
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
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
Catts, Hugh W. – American Educator, 2022
Reading comprehension is not a skill someone learns and can then apply in different reading contexts. It is one of the most complex activities that readers engage in on a regular basis, and the ability to comprehend is dependent upon a wide range of knowledge and skills. Despite a common view about comprehension, several lines of enquiry have…
Descriptors: Reading Comprehension, Models, Knowledge Level, Reading Instruction
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
Zhang, Lishan; Huang, Yuwei; Yang, Xi; Yu, Shengquan; Zhuang, Fuzhen – Interactive Learning Environments, 2022
Automatic short-answer grading has been studied for more than a decade. The technique has been used for implementing auto assessment as well as building the assessor module for intelligent tutoring systems. Many early works automatically grade mainly based on the similarity between a student answer and the reference answer to the question. This…
Descriptors: Automation, Grading, Models, Artificial Intelligence
Joong won Lee; Young-Suk Kim – Reading and Writing: An Interdisciplinary Journal, 2024
The aim of this study is to explore the relation of morphological awareness to vocabulary, word reading, and reading comprehension for middle school students in Korea. A total of 121 students (73 boys and 48 girls) in Grade 7 from two middle schools in a metropolitan city in South Korea participated in the study. The students were assessed on the…
Descriptors: Foreign Countries, Middle School Students, Reading Comprehension, Word Recognition
Bulut, Okan; Yildirim-Erbasli, Seyma Nur – International Journal of Assessment Tools in Education, 2022
Reading comprehension is one of the essential skills for students as they make a transition from learning to read to reading to learn. Over the last decade, the increased use of digital learning materials for promoting literacy skills (e.g., oral fluency and reading comprehension) in K-12 classrooms has been a boon for teachers. However, instant…
Descriptors: Reading Comprehension, Natural Language Processing, Artificial Intelligence, Automation
Frean, Jennifer – Literacy, 2022
The increase in screen-based publishing over the past 30 years has sparked an evolution of reading. Reading's natural scope has ignited interest across paradigms. The resulting scholarship offers rich opportunity, but also presents a concerning challenge -- approaches differ across disciplines, producing results that can be difficult to interpret…
Descriptors: Reading Comprehension, Reading Research, Content Area Reading, Interdisciplinary Approach
Christofalos, Andriana L.; Raney, Gary E.; Daniel, Frances; Demos, Alexander P. – Journal of Research in Reading, 2020
Background: Research shows that providing readers with a title prior to reading a passage increases comprehension compared with reading a passage without a title. However, the specific type of comprehension that is facilitated by the presence of a title and how this relates to reading time has not been examined. We present three experiments in…
Descriptors: Reading Comprehension, Layout (Publications), Reading Rate, Models
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
Apel, Kenn – Remedial and Special Education, 2022
The simple view of reading (SVR) framework has been used for decades to explain two general component skills considered to contribute to reading comprehension: decoding and linguistic comprehension. In the past, researchers have assessed the linguistic comprehension component using a wide range of language and/or listening comprehension measures…
Descriptors: Reading Comprehension, Decoding (Reading), Listening Comprehension, Models
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