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Zainurrahman; Fazri Nur Yusuf; Didi Sukyadi – Journal of Education and Learning (EduLearn), 2024
Recently, the readability of texts has become the focus of reading research because it is believed to have implications for reading comprehension, which is of utmost importance in the field of English as a foreign language (EFL), particularly in the teaching, learning and assessment of reading comprehension. Unfortunately, the influence of text…
Descriptors: Readability, English (Second Language), Language Teachers, Reading Comprehension
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Ke, Sihui – Reading in a Foreign Language, 2022
This research compared the contributions of lexical inferencing, decoding, and listening comprehension to reading comprehension in Chinese-speaking learners of English as a second language (ESL) enrolled in university bridging programs in the U.S. and Chinese-speaking university learners of English as a foreign language (EFL) in mainland China.…
Descriptors: Chinese, Native Language, Reading Comprehension, English (Second Language)
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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
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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
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Reese Butterfuss; Kathryn S. McCarthy; Ellen Orcutt; Panayiota Kendeou; Danielle S. McNamara – Reading and Writing: An Interdisciplinary Journal, 2024
Readers often struggle to identify the main ideas in expository texts. Existing research and instruction provide some guidance on how to encourage readers to identify main ideas. However, there is substantial variability in how main ideas are operationalized and how readers are prompted to identify main ideas. This variability hinders…
Descriptors: Reading Processes, Reading Comprehension, Reading Instruction, Best Practices
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Aghajari, Zhila; Unal, Deniz Sonmez; Unal, Mesut Erhan; Gómez, Ligia; Walker, Erin – International Educational Data Mining Society, 2020
Response time has been used as an important predictor of student performance in various models. Much of this work is based on the hypothesis that if students respond to a problem step too quickly or too slowly, they are most likely to be unsuccessful in that step. However, something that is less explored is that students may cycle through…
Descriptors: Reaction Time, Predictor Variables, Reading Comprehension, Task Analysis
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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
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Anna E. Mason; Jason L. G. Braasch; Daphne Greenberg; Erica D. Kessler; Laura K. Allen; Danielle S. McNamara – Reading Psychology, 2023
This study examined the extent to which prior beliefs and reading instructions impacted elements of a reader's mental representation of multiple texts. College students' beliefs about childhood vaccinations were assessed before reading two anti-vaccine and two pro-vaccine texts. Participants in the experimental condition read for the purpose of…
Descriptors: Immunization Programs, Misconceptions, Beliefs, Accuracy
Reese Butterfuss; Kathryn S. McCarthy; Ellen Orcutt; Panayiota Kendeou; Danielle S. McNamara – Grantee Submission, 2023
Readers often struggle to identify the main ideas in expository texts. Existing research and instruction provide some guidance on how to encourage readers to identify main ideas. However, there is substantial variability in how main ideas are operationalized and how readers are prompted to identify main ideas. This variability hinders…
Descriptors: Reading Processes, Reading Comprehension, Reading Instruction, Best Practices
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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
Wang, Zuowei; O'Reilly, Tenaha; Sabatini, John; McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2021
We compared high school students' performance in a traditional comprehension assessment requiring them to identify key information and draw inferences from single texts, and a scenario-based assessment (SBA) requiring them to integrate, evaluate and apply information across multiple sources. Both assessments focused on a non-academic topic.…
Descriptors: Comparative Analysis, High School Students, Inferences, Reading Tests
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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
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McCarthy, Kathryn S.; Guerrero, Tricia A.; Kent, Kevin M.; Allen, Laura K.; McNamara, Danielle S.; Chao, Szu-Fu; Steinberg, Jonathan; O'Reilly, Tenaha; Sabatini, John – Discourse Processes: A Multidisciplinary Journal, 2018
Background knowledge is a strong predictor of reading comprehension, yet little is known about how different types of background knowledge affect comprehension. The study investigated the impacts of both domain and topic-specific background knowledge on students' ability to comprehend and learn from science texts. High school students (n = 3,650)…
Descriptors: Knowledge Level, Reading Comprehension, High School Students, Pretests Posttests
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McCrudden, Matthew T.; Huynh, Linh; Lyu, Bailing; Kulikowich, Jonna M. – Discourse Processes: A Multidisciplinary Journal, 2021
The purpose of this study was to investigate bridging inferences and learning when students with low topic knowledge read multiple complementary biology texts. Using a think-aloud protocol, we assessed students' (n = 74) cognitive processes while they read one text about principles of natural selection and three texts about examples of natural…
Descriptors: Inferences, Knowledge Level, Prior Learning, Biology
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