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Gordon, Amber M.; Musick, Kurustun S.; King, Alison R.; Wallace, Erin Stehle – Journal of Special Education Apprenticeship, 2022
The purpose of this study is to examine the readability levels of the state departments of education guidance documents regarding COVID-19 protocols for families of students receiving special education services. The authors searched the 50 states and the District of Columbia's departments of education websites for their COVID-19, special…
Descriptors: COVID-19, Pandemics, Readability, Special Education
Chili Li; Xue Wang; Long Qian – SAGE Open, 2025
The effectiveness of English Language Teaching (ELT) materials significantly influences the learning outcomes of English as a Foreign Language (EFL) learners, positioning these resources as cardinal in the acquisition process. Despite this widely acknowledged significance, there remains a notable gap in research concerning the evaluation of key…
Descriptors: Syntax, Difficulty Level, Second Language Instruction, English (Second Language)
Flint, Kaitlyn; Spaulding, Tammie J. – Language, Speech, and Hearing Services in Schools, 2021
Purpose: The readability and comprehensibility of Learner's Permit Knowledge Test practice questions and the relationship with test failure rates across states and the District of Columbia were examined. Method: Failure rates were obtained from department representatives. Practice test questions were extracted from drivers' manuals and department…
Descriptors: Correlation, Readability Formulas, Reading Comprehension, Difficulty Level
Taegang Lee; Yoonhyoung Lee; Sungmook Choi – Language Learning & Technology, 2025
Empirical evidence remains sparse about how videos enhanced with first-language (L1) and second-language (L2) subtitles influence cognitive load in L2 learners. To address this point, 25 Korean undergraduate students were exposed to six short videos: baseline, L1-subtitled, and L2-subtitled videos at both high and low difficulty levels (determined…
Descriptors: Captions, Native Language, Second Language Learning, Language Processing
Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – International Journal of Artificial Intelligence in Education, 2020
For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…
Descriptors: Natural Language Processing, Artificial Intelligence, Man Machine Systems, Classification
Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2020
For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…
Descriptors: Natural Language Processing, Artificial Intelligence, Man Machine Systems, Classification
Morales, Miraida – ProQuest LLC, 2019
To investigate how readability affects the way adults who are learning to read evaluate health information, a mixed methods research study was designed based on a sociotechnical framework and using theories of everyday life information seeking. The study analyzed a corpus of consumer health information documents (N = 501) using the CohMetrix text…
Descriptors: Readability, Adults, Adult Literacy, Health
Dahl, Amanda C.; Carlson, Sarah E.; Renken, Maggie; McCarthy, Kathryn S.; Reynolds, Erin – Language, Speech, and Hearing Services in Schools, 2021
Purpose: Complex features of science texts present idiosyncratic challenges for middle grade readers, especially in a post-Common Core educational world where students' learning is dependent on understanding informational text. The primary aim of this study was to explore how middle school readers process science texts and whether such…
Descriptors: Science Materials, Textbooks, Difficulty Level, Readability
Srisunakrua, Thanaporn; Chumworatayee, Tipamas – Arab World English Journal, 2019
Readability has long been regarded as a significant aspect in English language teaching as it provides the overall picture of a text's difficulty level, especially in the context of teaching and testing. Readability is a practical consideration when making decisions on materials to match a text with target readers' proficiency. However, few…
Descriptors: Readability Formulas, English (Second Language), Textbook Content, Reading Comprehension
Cunningham, James W.; Hiebert, Elfrieda H.; Mesmer, Heidi Anne – Reading and Writing: An Interdisciplinary Journal, 2018
In recent years, readability formulas have gained new prominence as a basis for selecting texts for learning and assessment. Variables that quantitative tools count (e.g., word frequency, sentence length) provide valid measures of text complexity insofar as they accurately predict representative and high-quality criteria. The longstanding…
Descriptors: Readability, Readability Formulas, Evaluation Methods, Correlation
Nese, Joseph F. T.; Alonzo, Julie; Biancarosa, Gina; Kamata, Akihito; Kahn, Joshua – Grantee Submission, 2017
Text complexity has received increased attention due to the CCSS, which call for students to comprehend increasingly more complex texts as they progress through grades. Quantitative text complexity (or readability) indices are based on text attributes (e.g., sentence lengths, and lexical, syntactic, & semantic difficulty), quantified by…
Descriptors: Reading Comprehension, Difficulty Level, Readability, Sentence Structure
Munalim, Leonardo O. – Journal of English as an International Language, 2019
The number of minutes appended in headlines serves as a signpost for readers regarding the reading time. Being the first on Minute News, this present quantitative study reports the results from comparative analyses of text contents of one-to-five Minute News published by one Philippine and one American media outlet in November 2018. Selected…
Descriptors: News Reporting, Contrastive Linguistics, Content Analysis, Computational Linguistics
Solnyshkina, Marina I.; Zamaletdinov, Radif R.; Gorodetskaya, Ludmila A.; Gabitov, Azat I. – Journal of Social Studies Education Research, 2017
The article presents the results of an exploratory study of the use of T.E.R.A., an automated tool measuring text complexity and readability based on the assessment of five text complexity parameters: narrativity, syntactic simplicity, word concreteness, referential cohesion and deep cohesion. Aimed at finding ways to utilize T.E.R.A. for…
Descriptors: Readability Formulas, Readability, Foreign Countries, Computer Assisted Testing
Clinton, Virginia; Alibali, Martha W.; Nathan, Mitchell J. – Journal of Experimental Education, 2016
To learn from a text, students must make meaningful connections among related ideas in that text. This study examined the effectiveness of two methods of improving connections--elaborative interrogation and diagrams--in written lessons about posterior probability. Undergraduate students (N = 198) read a lesson in one of three questioning…
Descriptors: Probability, Instructional Effectiveness, Undergraduate Students, Questioning Techniques
Clinton, Virginia; Alibali, Martha Wagner; Nathan, Mitchel J. – Grantee Submission, 2016
To learn from a text, students must make meaningful connections among related ideas in that text. This study examined the effectiveness of two methods of improving connections--elaborative interrogation and diagrams--in written lessons about posterior probability. Undergraduate students (N = 198) read a lesson in one of three questioning…
Descriptors: Probability, Instructional Effectiveness, Undergraduate Students, Questioning Techniques