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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
The Effects of Story Mapping and Video Modeling on Reading Comprehension in Students with Hyperlexia
Kimberly Keebler Dresner – ProQuest LLC, 2024
Up until third grade, reading instruction is focused on learning to read, while in fourth grade and up, students begin reading to learn (Annie E. Casey Foundation, 2024; Grunke et al., 2013). This reading with purpose includes increasing critical thinking skills and using newfound reading skills to understand complex subjects such as math and…
Descriptors: Video Technology, Reading Comprehension, Reading Achievement, Models
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
Joshua B. Gilbert – Annenberg Institute for School Reform at Brown University, 2022
This simulation study examines the characteristics of the Explanatory Item Response Model (EIRM) when estimating treatment effects when compared to classical test theory (CTT) sum and mean scores and item response theory (IRT)-based theta scores. Results show that the EIRM and IRT theta scores provide generally equivalent bias and false positive…
Descriptors: Item Response Theory, Models, Test Theory, Computation
Shero, Jeffrey A.; Al Otaiba, Stephanie; Schatschneider, Chris; Hart, Sara A. – Journal of Experimental Education, 2022
Many of the analytical models commonly used in educational research often aim to maximize explained variance and identify variable importance within models. These models are useful for understanding general ideas and trends, but give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method rooted in…
Descriptors: Data Analysis, Educational Research, Nonparametric Statistics, Efficiency
Shannon G. Kuschel – ProQuest LLC, 2022
The growth of reading and cognitive skills is crucial for children's development. This study examined the utility of incorporating a cognitive framework for reading in intervention design among struggling readers receiving National Institute for Learning Development (NILD) Educational Therapy® over a 3- to 5-year period. Evidence from this…
Descriptors: Reading Fluency, Reading Comprehension, Reading Difficulties, Thinking Skills
Philip Capin; Sharon Vaughn; Joseph E. Miller; Jeremy Miciak; Anna-Mari Fall; Greg Roberts; Eunsoo Cho; Amy E. Barth; Paul K. Steinle; Jack M. Fletcher – Grantee Submission, 2024
Purpose: This study investigated the reading profiles of middle school Spanish-speaking emergent bilinguals (EBs) with significantly below grade level reading comprehension and whether these profiles varied in their reading comprehension performance over time. Method: Latent profile analyses were used to classify Grade 6 and 7 Hispanic EBs (n =…
Descriptors: Profiles, Reading Comprehension, Reading Difficulties, Middle School Students
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
Trezek, Beverly; Mayer, Connie – Education Sciences, 2019
Over the years, persistently low achievement levels have led scholars to question whether reading skill development is different for deaf readers. Research findings suggest that in order for deaf students to become proficient readers, they must master the same fundamental abilities that are well established for hearing learners, regardless of the…
Descriptors: Deafness, Reading Skills, Hearing (Physiology), Learning Processes
McNamara, Danielle S.; Roscoe, Rod; Allen, Laura; Balyan, Renu; McCarthy, Kathryn S. – Grantee Submission, 2019
Literacy is a critically important and contemporary issue for educators, scientists, and politicians. Efforts to overcome the challenges associated with illiteracy, and the subsequent development of literate societies, are closely related to those of poverty reduction and sustainable human development. In this paper, the authors examine literacy…
Descriptors: Literacy, Reading Comprehension, Language Processing, Discourse Analysis
Abdullateef, Shifan Thaha; Muhammedzein, Fatima – Arab World English Journal, 2021
Although some assessment modes have proved successful, many learning problems encountered by low achieving learners need to be fixed by a more procedurally adequate remedial classroom assessment. Many EFL instructors adopt conventional and static modes of assessment rather than flexible and humanistic assessment modes. Hence, the study aims at…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Student Evaluation
El-Koumy, Abdel Salam A. – Online Submission, 2020
This revised edition updates and expands on the first edition published in 2016. In this revised edition, theories of different types of learning strategies are expanded and more recent studies are added. A large amount of tabular information is also reconstructed in a more meaningful manner. The book is divided into five chapters. Chapter one…
Descriptors: English (Second Language), Second Language Instruction, Learning Disabilities, Teaching Methods
Romance, Nancy; Vitale, Michael – International Journal of Science and Mathematics Education, 2017
Reported are the results of a multiyear study in which reading comprehension and writing were integrated within an in-depth science instructional model (Science IDEAS) in daily 1.5 to 2 h daily lessons on a schoolwide basis in grades 3-4-5. Multilevel (HLM7) achievement findings showed the experimental intervention resulted in significant and…
Descriptors: Cognitive Science, Models, Scientific Literacy, Science Achievement
Yun, Joonmo – ProQuest LLC, 2017
Reading comprehension is an essential skill for success in school and post-school life. However, despite the importance of this skill, a considerable number of students in the U.S. have shown difficulties in reading comprehension. According to the 2015 National Assessment of Educational Progress (NAEP) of the National Center for Education…
Descriptors: Reading Comprehension, Factor Analysis, Achievement Tests, Foreign Countries
Alzahrani, Turkey; Leko, Melinda – Reading & Writing Quarterly, 2018
The purposes of this review were to examine the effects of peer tutoring models on the reading comprehension performance of secondary students with disabilities and to provide evidence of the extent to which peer tutoring can be considered an evidence-based practice (EBP) for improving reading comprehension performance among secondary students…
Descriptors: Peer Teaching, Tutoring, Reading Comprehension, Disabilities