Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
Descriptor
| Artificial Intelligence | 1 |
| Evaluation | 1 |
| High Schools | 1 |
| Instructional Design | 1 |
| Lesson Plans | 1 |
| Mathematics Instruction | 1 |
| Natural Language Processing | 1 |
| Problem Solving | 1 |
| Prompting | 1 |
Author
| Bihao Hu | 1 |
| Jiayi Zhu | 1 |
| Lishan Ding | 1 |
| Longwei Zheng | 1 |
| Xiaoqing Gu | 1 |
| Yilei Wang | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| High Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkBihao Hu; Longwei Zheng; Jiayi Zhu; Lishan Ding; Yilei Wang; Xiaoqing Gu – IEEE Transactions on Learning Technologies, 2024
This study explores and analyzes the specific performance of large language models (LLMs) in instructional design, aiming to unveil their potential strengths and possible weaknesses. Recently, the influence of LLMs has gradually increased in multiple fields, yet exploratory research on their application in education remains relatively scarce. In…
Descriptors: Artificial Intelligence, Natural Language Processing, Instructional Design, Prompting
