Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Comparative Analysis | 4 |
| Educational Change | 4 |
| Error Patterns | 4 |
| Correlation | 3 |
| Mathematics Achievement | 3 |
| Mathematics Instruction | 3 |
| Teaching Methods | 3 |
| Word Problems (Mathematics) | 3 |
| Artificial Intelligence | 2 |
| Computational Linguistics | 2 |
| Computer Software | 2 |
| More ▼ | |
Source
| Grantee Submission | 1 |
| International Group for the… | 1 |
| International Journal of… | 1 |
| Review of Educational Research | 1 |
Author
Publication Type
| Reports - Research | 3 |
| Journal Articles | 2 |
| Collected Works - Proceedings | 1 |
Education Level
| Elementary Secondary Education | 3 |
| Higher Education | 2 |
| Early Childhood Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Austria | 1 |
| Belgium | 1 |
| Botswana | 1 |
| Brazil | 1 |
| China (Shanghai) | 1 |
| Cyprus | 1 |
| Czech Republic | 1 |
| Ireland | 1 |
| Malawi | 1 |
| Peru | 1 |
| Singapore | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter – International Journal of Artificial Intelligence in Education, 2025
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
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
Martella, Amedee Marchand; Yatcilla, Jane Kinkus; Martella, Ronald C.; Marchand-Martella, Nancy E.; Ozen, Zafer; Karatas, Tugce; Park, Helen H.; Simpson, Alexandra; Karpicke, Jeffrey D. – Review of Educational Research, 2021
When previous research is cited incorrectly, misinformation can infiltrate scientific discourse and undermine scholarly knowledge. One of the more damaging citation issues involves incorrectly citing article content (called quotation errors); therefore, investigating quotation accuracy is an important research endeavor. One field where quotation…
Descriptors: Meta Analysis, Citations (References), Accuracy, Error Patterns
Novotna, Jarmila, Ed.; Moraova, Hana, Ed.; Kratka, Magdalena, Ed.; Stehlikova, Nad'a, Ed. – International Group for the Psychology of Mathematics Education, 2006
This volume of the 30th annual proceedings of the International Group for the Psychology of Mathematics Education conference presents: plenary panel papers; research forum papers; short oral communication papers; and poster presentation papers from the meeting. Information relating to discussion groups and working sessions is also provided.…
Descriptors: Program Effectiveness, Foreign Countries, Secondary School Students, Mathematics Instruction

Peer reviewed
Direct link
