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Gary Lieberman – Journal of Instructional Research, 2024
Artificial intelligence (AI) first made its entry into higher education in the form of paraphrasing tools. These tools were used to take passages that were copied from sources, and through various methods, disguised the original text to avoid academic integrity violations. At first, these tools were not very good and produced nearly…
Descriptors: Artificial Intelligence, Higher Education, Integrity, Ethics
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Yukhymenko-Lescroart, Mariya A.; Goldman, Susan R.; Lawless, Kimberly A.; Pellegrino, James W.; Shanahan, Cynthia R. – Educational Psychology, 2022
To extend the existing research examining multiple text comprehension and its assessment, we developed a verification task approach to assessing of information that was "explicitly" and "implicitly" presented "within" and across nine texts. A nonparametric form of signal detection theory was used to analyse the…
Descriptors: Task Analysis, Reading Comprehension, Middle School Students, Nonparametric Statistics
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Hagiwara, Yasuko; Ishita, Emi; Watanabe, Yukiko; Tomiura, Yoichi – College & Research Libraries, 2022
This study focuses on differences in the scholarly search approaches of researchers and students in contemporary information environments by examining use of academic resources and elements in search results (such as title or abstract) to identify scholarly search knowledge and skills. To examine how users select documents for different search…
Descriptors: Engineering Education, Graduate Students, Masters Programs, Search Strategies
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Spear-Swerling, Louise – TEACHING Exceptional Children, 2019
Structured Literacy (SL) approaches are often recommended for students with dyslexia and other poor decoders (e.g., International Dyslexia Association, 2017). Examples of SL approaches include the Wilson Reading System (Wilson, 1988), Orton-Gillingham (Gillingham & Stillman, 2014), the Lindamood Phoneme Sequencing Program (Lindamood &…
Descriptors: Literacy Education, Reading Instruction, Dyslexia, Learning Disabilities
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Crossley, Scott A.; Skalicky, Stephen; Dascalu, Mihai; McNamara, Danielle S.; Kyle, Kristopher – Discourse Processes: A multidisciplinary journal, 2017
Research has identified a number of linguistic features that influence the reading comprehension of young readers; yet, less is known about whether and how these findings extend to adult readers. This study examines text comprehension, processing, and familiarity judgment provided by adult readers using a number of different approaches (i.e.,…
Descriptors: Reading Processes, Reading Comprehension, Readability, Adults
Kendeou, Panayiota; McMaster, Kristen L.; Christ, Theodore J. – Grantee Submission, 2016
Reading comprehension is multidimensional and complex. The persistent challenges children, adolescents, and even adults face with reading comprehension call for concerted efforts to develop assessments that help identify sources of difficulties and to design instructional approaches to prevent or ameliorate these difficulties. Doing so requires…
Descriptors: Reading Comprehension, Reading Tests, Teaching Methods, Reading Processes
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Lovett, Maureen W.; Lacerenza, Lea; De Palma, Maria; Frijters, Jan C. – Journal of Learning Disabilities, 2012
Preliminary efficacy data are reported for a research-based reading intervention designed for struggling readers in high school. PHAST PACES teaches (a) word identification strategies, (b) knowledge of text structures, and (c) reading comprehension strategies. In a quasi-experimental design, 268 intervention and 83 waiting list control students…
Descriptors: Reading Comprehension, Quasiexperimental Design, Intervention, Standardized Tests
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Deane, Paul; Sheehan, Kathleen M.; Sabatini, John; Futagi, Yoko; Kostin, Irene – Scientific Studies of Reading, 2006
One source of potential difficulty for struggling readers is the variability of texts across grade levels. This article explores the use of automatic natural language processing techniques to identify dimensions of variation within a corpus of school-appropriate texts. Specifically, we asked: Are there identifiable dimensions of lexical and…
Descriptors: Text Structure, Language Processing, Grade 6, Natural Language Processing