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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
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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
Jones, Barbara; Chang, Sandy; Heritage, Margaret; Tobiason, Glory; Herman, Joan – Center on Standards and Assessments Implementation, 2015
This resource is part of a series produced by the Center for Standards and Assessment Implementation (CSAI) to assist teachers and those who support teachers to plan teaching and learning from College and Career Ready Standards (CCRS) for all students, including students with disabilities, English learners, academically at-risk students, students…
Descriptors: Educational Resources, Career Readiness, College Readiness, Gifted Disadvantaged