Publication Date
In 2025 | 1 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Author
Dorottya Demszky | 3 |
Dorna Abdi | 2 |
Rizwaan Malik | 2 |
Rose Wang | 2 |
Ana T. Ribeiro | 1 |
Carly D. Robinson | 1 |
Rose E. Wang | 1 |
Susanna Loeb | 1 |
Publication Type
Reports - Research | 3 |
Journal Articles | 1 |
Tests/Questionnaires | 1 |
Education Level
Junior High Schools | 3 |
Middle Schools | 3 |
Secondary Education | 3 |
Early Childhood Education | 1 |
Elementary Education | 1 |
Grade 3 | 1 |
Grade 4 | 1 |
Grade 5 | 1 |
Grade 6 | 1 |
Grade 7 | 1 |
Grade 8 | 1 |
More ▼ |
Audience
Location
Illinois (Chicago) | 1 |
Washington | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
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