Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Artificial Intelligence | 1 |
| Computer Security | 1 |
| Computer Software | 1 |
| Educational Change | 1 |
| Efficiency | 1 |
| Ethics | 1 |
| Evaluation Methods | 1 |
| Faculty Development | 1 |
| Reliability | 1 |
| Validity | 1 |
Source
| Educational Measurement:… | 1 |
Author
| Alina A. von Davier | 1 |
| Deborah J. Harris | 1 |
| Jiangang Hao | 1 |
| Matthias von Davier | 1 |
| Susan Lottridge | 1 |
| Victoria Yaneva | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkJiangang Hao; Alina A. von Davier; Victoria Yaneva; Susan Lottridge; Matthias von Davier; Deborah J. Harris – Educational Measurement: Issues and Practice, 2024
The remarkable strides in artificial intelligence (AI), exemplified by ChatGPT, have unveiled a wealth of opportunities and challenges in assessment. Applying cutting-edge large language models (LLMs) and generative AI to assessment holds great promise in boosting efficiency, mitigating bias, and facilitating customized evaluations. Conversely,…
Descriptors: Evaluation Methods, Artificial Intelligence, Educational Change, Computer Software
