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Crossley, Scott A.; Skalicky, Stephen; Dascalu, Mihai – Journal of Research in Reading, 2019
Background: Advances in natural language processing (NLP) and computational linguistics have facilitated major improvements on traditional readability formulas that aim at predicting the overall difficulty of a text. Recent studies have identified several types of linguistic features that are theoretically motivated and predictive of human…
Descriptors: Natural Language Processing, Readability, Reading Comprehension, Reading Rate
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
Öksüz, Halil Ibrahim; Keskin, Hasan Kagan – International Journal of Progressive Education, 2022
The aim of the study is to examine the effect of readability on comprehensibility. The study is quasi-experimental as it was not possible to assign groups randomly and the groups were partially controllable. Therefore, the "pretest-posttest unequaled control group quasi-experimental design" was used in the study. The study group consists…
Descriptors: Readability, Reading Comprehension, Grade 4, Elementary School Students
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
Kole Norberg; Husni Almoubayyed; Stephen Fancsali – International Educational Data Mining Society, 2025
Solving a math word problem (MWP) requires understanding the mathematical components of the problem and an ability to decode the text. For some students, lower reading comprehension skills may make engagement with the mathematical content more difficult. Readability formulas (e.g., Flesch Reading Ease) are frequently used to assess reading…
Descriptors: Mathematics Instruction, Word Problems (Mathematics), Problem Solving, Reading Skills
Tarlani-Aliabadi, Hasan; Tazik, Khalil; Azizi, Zeinab – Language Testing in Asia, 2022
Though the empirical findings of the past studies in the literature have offered strong support to the significant role of language knowledge and background knowledge in reading comprehension, this issue has not been explored with regard to specific purposes tests in the Iranian higher education context. Therefore, this study aimed at exploring…
Descriptors: Reading Comprehension, Readability Formulas, Readability, Prior Learning
John Wesley White; Daniel L. Dinsmore – Reading Psychology, 2024
A teacher's ability to read effectively is critical to that individual's ability to teach reading skills. Correspondingly, most state departments of education require that prospective teachers earn a passing score on a standardized reading comprehension test before they can enter university-based teacher education programs or otherwise get a…
Descriptors: Reading Comprehension, Reading Tests, Teacher Education Programs, College Admission
Rand, Catherine L.; Rand, Muriel K. – International Electronic Journal of Elementary Education, 2022
We examined how using five different simplified texts on the same subject would affect reading comprehension. 335 students in grades four through eight read one of five texts retrieved from Newsela.com and then completed a comprehension test. Results from a 3-way ANOVA showed no significant interaction among grade, reading level and text…
Descriptors: Reading Comprehension, Nonfiction, Elementary School Students, Readability
Schmitt, H. A.; Witmer, S. E.; Rowe, S. S. – Literacy Research and Instruction, 2022
Reading comprehension instruction may be critical for students to learn from social studies text, particularly for students who are not yet proficient in reading. Understanding factors that correspond to high levels of student engagement during text-based social studies instruction appears particularly important. Data were collected from 50…
Descriptors: Grade 5, Elementary School Students, Readability, Social Studies
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
Meyer, David; Pietzner, Verena – Chemistry Education Research and Practice, 2022
Reading is an integral part of chemistry education. The language of chemistry plays a major role when reading chemistry texts and textbooks. Reading textual and non-textual explanations impact students' understanding of chemistry texts and textbooks. In our review we outline the importance of reading texts and textbooks in chemistry education. We…
Descriptors: Textbook Evaluation, Chemistry, Textbook Content, Visual Aids
Raulerson, Jenifer Rebecca – ProQuest LLC, 2023
Reading scores have not made a significant shift since the 1990's when national and state standardized assessments initially tested grade level reading comprehension (National Center for Education Statistics [NCES], n.d. & Florida Department of Education [FLDOE], n.d.). In addition, when analyzing subgroups, economically disadvantaged students…
Descriptors: Corrective Reading, Public Schools, Scores, Economically Disadvantaged
Linh Huynh; Danielle S. McNamara – Grantee Submission, 2025
We conducted two experiments to assess the alignment between Generative AI (GenAI) text personalization and hypothetical readers' profiles. In Experiment 1, four LLMs (i.e., Claude 3.5 Sonnet; Llama; Gemini Pro 1.5; ChatGPT 4) were prompted to tailor 10 science texts (i.e., biology, chemistry, physics) to accommodate four different profiles…
Descriptors: Natural Language Processing, Profiles, Individual Differences, Semantics

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