Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 1 |
Descriptor
Elementary Secondary Education | 2 |
Error Patterns | 2 |
Readability Formulas | 2 |
Artificial Intelligence | 1 |
Audience Analysis | 1 |
Comparative Analysis | 1 |
Computational Linguistics | 1 |
Computer Assisted Instruction | 1 |
Computer Software | 1 |
Correlation | 1 |
Course Content | 1 |
More ▼ |
Author
April Murphy | 1 |
Husni Almoubayyed | 1 |
Kole A. Norberg | 1 |
Kyle Weldon | 1 |
Logan De Ley | 1 |
Steve Ritter | 1 |
Wresch, William | 1 |
Publication Type
Book/Product Reviews | 1 |
Information Analyses | 1 |
Journal Articles | 1 |
Reports - Research | 1 |
Education Level
Elementary Secondary Education | 1 |
Audience
Practitioners | 1 |
Teachers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
Wresch, William – Computing Teacher, 1988
Discussion of programs for analyzing the writing of students using word processors focuses on six categories of available software that can help to improve students' writing skills: error checkers, reformatters, audience awareness programs (including reader's needs and readability formulas), student conferencing utilities, grading utilities, and…
Descriptors: Audience Analysis, Computer Assisted Instruction, Courseware, Editing