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Rachel L. Schechter; Anna Robinson; Isabella Ilievski – Online Submission, 2024
State legislators recognized that students in the United States continue to struggle with reading and have begun implementing laws requiring schools to use science of reading-aligned curriculum when teaching reading (Schwartz, 2022). Many students lack the foundational skills to even begin learning how to read in grades K-3 (Kuhfeld et al., 2022).…
Descriptors: Grade 1, Elementary School Students, Reading Tests, Reading Achievement
Seybold, Mandy Rhames – ProQuest LLC, 2023
This study examined whether the intensive reading intervention affects annual reading level growth in middle school students to mitigate reading loss from the COVID19 school closures. Participants included struggling middle school readers (N = 101) from a rural district in east Texas. Student participant Measures of Academic Progress (MAP)…
Descriptors: Program Implementation, Reading Instruction, Teaching Methods, Middle School Students
Schechter, Rachel L.; Chase, Paul – Online Submission, 2022
The engage2learn approach to educator support provides an in-person and virtual coaching system that builds capacity and engagement in public schools. Engage2learn hired LXD Research to conduct an independent evaluation and analysis of NWEA Math and Reading data collected during the 2021-2022 school year. The goal was to measure how engage2learn…
Descriptors: Reading Achievement, Mathematics Achievement, Best Practices, Teaching Methods
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Haya Shamir; David Pocklington; Kathryn Feehan; Erik Yoder – Online Submission, 2020
This study investigated the impact of a computer-adaptive reading program, Waterford Early Learning (WEL), in an elementary school in Indiana. The study investigated how educational technology, specifically computer-assisted instruction (CAI), would impact the literacy scores of kindergarten students when paired with traditional instruction:…
Descriptors: Computer Assisted Instruction, Teaching Methods, Reading Instruction, Special Education
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McCarthy, Elizabeth M.; Liu, Ying; Schauer, Karen L. – Journal of Research on Technology in Education, 2020
This study describes a strengths-based blended personalized learning model, the implementation of the model over a 4-year period, and the results of an impact study focused on measuring its effectiveness. The model includes many commonly-used features of personalized learning, including (a) competency-based progressions, (b) flexible learning…
Descriptors: Blended Learning, Computer Simulation, Independent Study, Language Usage