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Hendratno; Nurul Istiq’faroh; Fajar Nur Yasin; Amiruddin Hadi Wibowo; Abd. Ghofur – International Journal of Language Education, 2025
This study aims to determine the effectiveness of Fry readability-based digital storybooks on reading comprehension skills among elementary school students. The method used in this study was an experimental research design with a pretest-posttest control group design to measure students' reading comprehension skills. The sample of this study was…
Descriptors: Electronic Publishing, Story Reading, Reading Comprehension, Benchmarking
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
Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter – International Journal of Artificial Intelligence in Education, 2025
Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Educational Change
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
Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter – Grantee Submission, 2024
Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Educational Change
Wissinger, Daniel R.; Ciullo, Stephen P.; Shiring, Elizabeth J. – Reading & Writing Quarterly, 2018
We used a design-based research model to examine a historical literacy intervention in Grade 6 classrooms. This article describes the results across 2 separate instructional cycles and for students grouped into 4 categories: (a) high-achieving students (n = 23 and n = 24 for Cycle I and Cycle II, respectively), (b) average-achieving students (n =…
Descriptors: Intervention, Literacy Education, History, Essays
Solnyshkina, Marina I.; Harkova, Elena V.; Kiselnikov, Aleksander S. – English Language Teaching, 2014
The article summarizes the results of the comparative study of Reading comprehension texts used in B2 level tests: Unified (Russia) State Exam in English (EGE) and Cambridge First Certificate in English (FCE). The research conducted was mainly focused on six parameters measured with the Coh-Metrix, a computational tool producing indices of the…
Descriptors: Foreign Countries, Reading Comprehension, English (Second Language), Second Language Instruction

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