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Rizwaan Malik; Dorna Abdi; Rose Wang; Dorottya Demszky – Annenberg Institute for School Reform at Brown University, 2024
Despite well-designed curriculum materials, teachers often face challenges in their implementation due to diverse classroom needs. This paper investigates whether Large Language Models (LLMs) can support middle-school math teachers by helping create high-quality curriculum scaffolds, which we define as the adaptations and supplements teachers…
Descriptors: Middle School Mathematics, Scaffolding (Teaching Technique), Models, Mathematics Teachers
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Rizwaan Malik; Dorna Abdi; Rose Wang; Dorottya Demszky – British Journal of Educational Technology, 2025
Despite well-designed curriculum materials, teachers often face challenges implementing them due to diverse classroom needs. This paper investigates whether large language models (LLMs) can support middle school math teachers by helping create high-quality curriculum scaffolds, which we define as the adaptations and supplements teachers employ to…
Descriptors: Curriculum Design, Instructional Materials, Artificial Intelligence, Curriculum Implementation
Rose E. Wang; Ana T. Ribeiro; Carly D. Robinson; Susanna Loeb; Dorottya Demszky – Annenberg Institute for School Reform at Brown University, 2024
Generative AI, particularly Language Models (LMs), has the potential to transform real-world domains with societal impact, particularly where access to experts is limited. For example, in education, training novice educators with expert guidance is important for effectiveness but expensive, creating significant barriers to improving education…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Tutors, Elementary School Students