Back to Search Start Over

Transforming Assessment: The Impacts and Implications of Large Language Models and Generative AI

Authors :
Jiangang Hao
Alina A. von Davier
Victoria Yaneva
Susan Lottridge
Matthias von Davier
Deborah J. Harris
Source :
Educational Measurement: Issues and Practice. 2024 43(2):16-29.
Publication Year :
2024

Abstract

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, these innovations raise significant concerns regarding validity, reliability, transparency, fairness, equity, and test security, necessitating careful thinking when applying them in assessments. In this article, we discuss the impacts and implications of LLMs and generative AI on critical dimensions of assessment with example use cases and call for a community effort to equip assessment professionals with the needed AI literacy to harness the potential effectively.

Details

Language :
English
ISSN :
0731-1745 and 1745-3992
Volume :
43
Issue :
2
Database :
ERIC
Journal :
Educational Measurement: Issues and Practice
Publication Type :
Academic Journal
Accession number :
EJ1425079
Document Type :
Journal Articles<br />Reports - Descriptive
Full Text :
https://doi.org/10.1111/emip.12602