ERIC Number: EJ1425079
Record Type: Journal
Publication Date: 2024-Jun
Pages: 14
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0731-1745
EISSN: EISSN-1745-3992
Available Date: N/A
Transforming Assessment: The Impacts and Implications of Large Language Models and Generative AI
Jiangang Hao; Alina A. von Davier; Victoria Yaneva; Susan Lottridge; Matthias von Davier; Deborah J. Harris
Educational Measurement: Issues and Practice, v43 n2 p16-29 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, 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.
Descriptors: Evaluation Methods, Artificial Intelligence, Educational Change, Computer Software, Ethics, Computer Security, Validity, Reliability, Faculty Development, Efficiency
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A