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Guerreiro, Meg; Barker, Elizabeth; Johnson, Janice – Practical Assessment, Research & Evaluation, 2022
Reading comprehension is measured differently between classroom and more formal approaches to assessment. Traditional reading comprehension assessments often prompt students to read a multi-paragraph passage prior to displaying a set of questions that are related to the passage; however, this approach is not utilized during classroom practices.…
Descriptors: Reading Comprehension, Accuracy, Reading Tests, Measurement
Mehrdad Yousefpoori-Naeim; Surina He; Ying Cui; Maria Cutumisu – International Review of Education, 2024
In addition to pre- and in-service teacher education programmes, teachers' autonomous reading of content related to their work contributes significantly to their professional development. This study investigated the factors that influenced the professional reading of 10,469 language teachers in the 2018 dataset of the Programme for International…
Descriptors: Language Teachers, Predictor Variables, Reading Habits, Teacher Background
Fajardo, Inmaculada; Ávila, Vicenta; Delgado, Pablo; Gómez-Merino, Nadina; Salmerón, Ladislao – Journal of Applied Research in Intellectual Disabilities, 2022
Background: The Internet provides individuals with intellectual disability with access to information and participation in a broader society, but it also presents risks when content is difficult to comprehend. This study aimed to test whether students with intellectual disability enhanced their comprehension of online blogs as a function of the…
Descriptors: Video Technology, Electronic Journals, Reading Comprehension, Students with Disabilities
Lee, On-Soon – Journal of Psycholinguistic Research, 2023
This study investigates whether statistical learning ability, conceptualized as a cognitive ability to learn regularities implicitly, is a good predictor for L2 learners' online language processing performance. Native-English-speaking adults, as a control group, and native-Korean-speaking adult L2 learners of English participated. They completed:…
Descriptors: Statistics, Second Language Learning, English (Second Language), Sentences
Washburn, Jocelyn – Journal of Learning Disabilities, 2022
In this article, I systematically review evidence on the relations between oral reading fluency (ORF) and reading comprehension (RC) for adolescents with limited reading proficiency (ALRP) in Grades 6 to12. I organized findings from 23 studies into five themes: (a) unclear role of ORF in the simple view of reading model for ALRP, (b) ALRP have…
Descriptors: Reading Fluency, Reading Comprehension, Correlation, Adolescents
Vozza, Nicole – Journal of the American Academy of Special Education Professionals, 2021
All too often fluency is a neglected component to reading instruction and the curriculum, even though there is research supporting the fact that fluency builds comprehension and is a strong predictor of future academic achievements in the classroom. This study was designed to test the validity of using research based fluency strategies in the…
Descriptors: Reading Fluency, Reading Strategies, Reading Instruction, Small Group Instruction
Nese, Joseph F. T. – Grantee Submission, 2022
Curriculum-based measurement of oral reading fluency (CBM-R) is used as an indicator of reading proficiency, and to measure at risk students' response to reading interventions to help ensure effective instruction. The purpose of this study was to compare model-based words read correctly per minute (WCPM) scores (computerized oral reading…
Descriptors: Reading Tests, Oral Reading, Reading Fluency, Curriculum Based Assessment
Nakhon Kitjaroonchai; Pimolporn Sanitchai; Chomphunut Phutikettrkit – Journal of English Teaching, 2024
This study examined the relationships between reading assistant (RA) software usage, reading comprehension ability, and post-TOEIC reading scores among Thai EFL university students. Seventy-six students from a private international university in central Thailand participated. Data were collected from students' pre- and post-TOEIC reading scores…
Descriptors: Correlation, Computer Software, Computer Assisted Instruction, Reading Fluency
Fang, Ying; Lippert, Anne; Cai, Zhiqiang; Chen, Su; Frijters, Jan C.; Greenberg, Daphne; Graesser, Arthur C. – International Journal of Artificial Intelligence in Education, 2022
A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. This type of adaptivity is possible only if the ITS has information that characterizes the learning behaviors of its users and can adjust its pedagogy accordingly. This study investigated an…
Descriptors: Intelligent Tutoring Systems, Classification, Reading Comprehension, Accuracy
Aguila, Darlene Mae E. – Online Submission, 2020
This study intended to improve the worded problem-solving skills of Grade Three pupils by using the developed Mathematical Learning Package utilizing Survey Question Read Question Compute Question (SQRQCQ) strategy. Specifically, it determined the significant difference on the level of performance of the respondents before and after utilizing…
Descriptors: Mathematics Instruction, Correlation, Reading Comprehension, Problem Solving
Chen, Su; Fang, Ying; Shi, Genghu; Sabatini, John; Greenberg, Daphne; Frijters, Jan; Graesser, Arthur C. – Grantee Submission, 2021
This paper describes a new automated disengagement tracking system (DTS) that detects learners' maladaptive behaviors, e.g. mind-wandering and impetuous responding, in an intelligent tutoring system (ITS), called AutoTutor. AutoTutor is a conversation-based intelligent tutoring system designed to help adult literacy learners improve their reading…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Attention, Adult Literacy
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
Mark L. Davison; David J. Weiss; Ozge Ersan; Joseph N. DeWeese; Gina Biancarosa; Patrick C. Kennedy – Grantee Submission, 2021
MOCCA is an online assessment of inferential reading comprehension for students in 3rd through 6th grades. It can be used to identify good readers and, for struggling readers, identify those who overly rely on either a Paraphrasing process or an Elaborating process when their comprehension is incorrect. Here a propensity to over-rely on…
Descriptors: Reading Tests, Computer Assisted Testing, Reading Comprehension, Elementary School Students
Biancarosa, Gina; Kennedy, Patrick C.; Carlson, Sarah E.; Yoon, HyeonJin; Seipel, Ben; Liu, Bowen; Davison, Mark L. – Educational and Psychological Measurement, 2019
Prior research suggests that subscores from a single achievement test seldom add value over a single total score. Such scores typically correspond to subcontent areas in the total content domain, but content subdomains might not provide a sound basis for subscores. Using scores on an inferential reading comprehension test from 625 third, fourth,…
Descriptors: Scores, Scoring, Achievement Tests, Grade 3