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Lishan Zhang; Lili Liu; Shuwen Wang; Min Xu; Sixv Zhang; Yun Tang – Journal of Computer Assisted Learning, 2025
Background: Collaborative reading can facilitate students' understanding of complex learning materials. High-quality annotations provided by peer learners are essential for successful collaborative reading. However, it remains to be understood how annotation quality affects reading comprehension. Objectives: A simulated collaborative reading…
Descriptors: Educational Quality, Documentation, Reading Processes, Eye Movements
Friedberg, Solomon; Shanahan, Tim; Fennell, Francis; Fisher, Douglas; Howe, Roger – Thomas B. Fordham Institute, 2020
A decade ago, states across the nation adopted the Common Core State Standards (CCSS) in an effort to raise the academic bar for their students. This has provoked countless political battles since then--including an especially intense one in Florida. That fight culminated in Governor Ron DeSantis vowing to eliminate and replace the Common Core,…
Descriptors: Common Core State Standards, Academic Achievement, Benchmarking, Academic Standards
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Zimmerman, Lisa – Reading & Writing: Journal of the Reading Association of South Africa, 2014
The evidence of the huge challenges of literacy development faced by South African learners is primarily gleaned from the results of learners' external assessments. There is little research which explores, in-depth, the strategies used by teachers to teach reading literacy and reading comprehension specifically. Questions remain about what is…
Descriptors: Foreign Countries, Achievement Tests, Grade 4, International Assessment
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McNamara, Danielle S.; Crossley, Scott A.; McCarthy, Philip M. – Written Communication, 2010
In this study, a corpus of expert-graded essays, based on a standardized scoring rubric, is computationally evaluated so as to distinguish the differences between those essays that were rated as high and those rated as low. The automated tool, Coh-Metrix, is used to examine the degree to which high- and low-proficiency essays can be predicted by…
Descriptors: Essays, Undergraduate Students, Educational Quality, Computational Linguistics