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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
UK Department for Education, 2024
This report sets out the findings of the technical development work completed as part of the Use Cases for Generative AI in Education project, commissioned by the Department for Education (DfE) in September 2023. It has been published alongside the User Research Report, which sets out the findings from the ongoing user engagement activity…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Computational Linguistics
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Roy, Sherre; Beer, Colin; Lawson, Celeste – Journal of Further and Higher Education, 2020
Much of the contemporary literature around assessment practices in higher education focuses on assessment quality and its fitness for purpose. However, there is limited research around student comprehension of written assessment task descriptions and their understanding of the task itself. The purpose of this study was to examine a number of…
Descriptors: Readability, Written Language, Student Evaluation, College Students
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Taylor, Zachary W. – Journal of College Access, 2020
Advancements in computational linguistics have allowed educational researchers to examine large amounts of text and assess the reading difficulty of that text for speakers whose first language is English (L1), and speakers whose first language is not English (L2). Considering L2 students exploring higher education, extant research suggests these…
Descriptors: College Admission, Readability, Native Speakers, English Language Learners
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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
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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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Rahmawati, Laili Etika; Sulistyono, Yunus – Asian Journal of University Education, 2021
Nowadays, text readability is of great importance. Simple but very often ignored, readability statistics can provide information about the level of difficulty of the readability of particular documents and increase an evaluator's credibility. Hence, this research aims to examine the readability index of the test instrument for BIPA (Bahasa…
Descriptors: Reading Tests, Readability, Reading Achievement, Test Construction
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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
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Thomas, Jafra D.; Cardinal, Bradley J. – Quest, 2020
Education is central to promoting healthy, active lifestyles, but most educational materials may be less than suitable for public dissemination. Related kinesiology studies have mainly focused on the reading grade level of print materials. Suitability encompasses more qualities than that and also concerns digital media. This study had two…
Descriptors: Web Sites, Information Sources, Physical Activities, Health Promotion
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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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
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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
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Chen, Xiaobin; Meurers, Detmar – Journal of Research in Reading, 2018
Assessment of text readability is important for assigning texts at the appropriate level to readers at different proficiency levels. The present research approached readability assessment from the lexical perspective of word frequencies derived from corpora assumed to reflect typical language experience. Three studies were conducted to test how…
Descriptors: Word Frequency, Readability, Correlation, Predictive Measurement
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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
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Cárcamo Morales, Benjamín – TESOL Journal, 2020
This article evaluates the mandatory English as a foreign language textbooks provided by the government in Chile in terms of readability and types of questions. Three readability formulas are used to analyze the texts: Flesch Reading Ease, Flesch-Kincaid Grade Level, and Coh-Metrix L2 reading index (RDL2). To evaluate the cognitive demands that…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
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