Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Source
Grantee Submission | 3 |
Author
April Murphy | 1 |
Arun-Balajiee… | 1 |
Husni Almoubayyed | 1 |
Jeevan Chapagain | 1 |
Kaefer, Tanya | 1 |
Kole A. Norberg | 1 |
Kyle Weldon | 1 |
Logan De Ley | 1 |
Mohammad Hassany | 1 |
Neuman, Susan B. | 1 |
Priti Oli | 1 |
More ▼ |
Publication Type
Reports - Research | 3 |
Speeches/Meeting Papers | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Flesch Reading Ease Formula | 2 |
Peabody Picture Vocabulary… | 1 |
What Works Clearinghouse Rating

Arun-Balajiee Lekshmi-Narayanan; Priti Oli; Jeevan Chapagain; Mohammad Hassany; Rabin Banjade; Vasile Rus – Grantee Submission, 2024
Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide…
Descriptors: Coding, Computer Science Education, Computational Linguistics, Artificial Intelligence
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
Neuman, Susan B.; Wong, Kevin M.; Kaefer, Tanya – Grantee Submission, 2017
The purpose of this study was to investigate the influence of digital and non-digital storybooks on low-income preschoolers' oral language comprehension. Employing a within-subject design on 38 four-year-olds from a Head Start program, we compared the effect of medium on preschoolers' target words and comprehension of stories. Four digital…
Descriptors: Oral Language, Story Reading, Low Income Groups, Disadvantaged Youth