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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
Aspen Institute, 2012
What is meant by text complexity is a measurement of how challenging a particular text is to read. There are a myriad of different ways of explaining what makes text challenging to read, from the sophistication of the vocabulary employed to the length of its sentences to even measurements of how the text as a whole coheres. Research shows that no…
Descriptors: State Standards, Predictor Variables, Reading Ability, College Readiness
Curcic, Svjetlana; Johnstone, Robin S. – Computers in the Schools, 2016
This study examined the effects of an intervention in writing with digital interactive books. To improve the writing skills of seventh- and eighth-grade students with a learning disability in reading, we conducted a quasi-experimental study in which the students read interactive digital books (i-books), took notes, wrote summaries, and acted as…
Descriptors: Intervention, Writing Skills, Learning Disabilities, Cartoons