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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
Francis, David J.; Santi, Kristi L.; Barr, Christopher; Fletcher, Jack M.; Varisco, Al; Foorman, Barbara R. – Journal of School Psychology, 2008
This study examined the effects of passage and presentation order on progress monitoring assessments of oral reading fluency in 134 second grade students. The students were randomly assigned to read six one-minute passages in one of six fixed orders over a seven week period. The passages had been developed to be comparable based on readability…
Descriptors: Reading Fluency, Readability Formulas, Grade 2, Reading Tests