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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
Hatcher, Ryan C.; Breaux, Kristina C.; Liu, Xiaochen; Bray, Melissa A.; Ottone-Cross, Karen L.; Courville, Troy; Luria, Sarah R.; Langley, Susan Dulong – Journal of Psychoeducational Assessment, 2017
Children's oral language skills typically begin to develop sooner than their written language skills; however, the four language systems (listening, speaking, reading, and writing) then develop concurrently as integrated strands that influence one another. This research explored relationships between students' errors in language comprehension of…
Descriptors: Children, Error Patterns, Listening Comprehension, Reading Comprehension
Desimoni, Marta; Scalisi, Teresa Gloria; Orsolini, Margherita – Learning and Instruction, 2012
A sample of 170 Italian children was assessed for reading accuracy, reading speed, text comprehension and spelling in Grades 1 and 3 in order to investigate the concurrent and longitudinal relationships among literacy skills. Main results from multivariate analyses (regression, discriminant and path analyses) indicated that reading speed was the…
Descriptors: Foreign Countries, Longitudinal Studies, Predictor Variables, Correlation