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Ethan Prihar; Morgan Lee; Mia Hopman; Adam Tauman Kalai; Sofia Vempala; Allison Wang; Gabriel Wickline; Aly Murray; Neil Heffernan – Grantee Submission, 2023
Large language models have recently been able to perform well in a wide variety of circumstances. In this work, we explore the possibility of large language models, specifically GPT-3, to write explanations for middle-school mathematics problems, with the goal of eventually using this process to rapidly generate explanations for the mathematics…
Descriptors: Mathematics Instruction, Teaching Methods, Artificial Intelligence, Middle School Students
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McMaster, Kristen L.; Kendeou, Panayiota; Bresina, Britta Cook; Slater, Susan; Wagner, Kyle; White, Mary Jane; Butterfuss, Reese; Kim, Jasmine; Umana, Cristina – Grantee Submission, 2019
We describe the design and development of a technology-based inference-making intervention system that includes a set of interactive learning modules, each of which engages students to (a) view age-appropriate children's videos, (b) learn vocabulary words that are central to main ideas in each video, (c) respond to inferential questions, (d)…
Descriptors: Inferences, Computer Software, Educational Technology, Technology Uses in Education