Opportunities and challenges of using generative AI to personalize educational assessment

Front Artif Intell. 2024 Oct 7:7:1460651. doi: 10.3389/frai.2024.1460651. eCollection 2024.

Abstract

In line with the positive effects of personalized learning, personalized assessments are expected to maximize learner motivation and engagement, allowing learners to show what they truly know and can do. Considering the advances in Generative Artificial Intelligence (GenAI), in this perspective article, we elaborate on the opportunities of integrating GenAI into personalized educational assessments to maximize learner engagement, performance, and access. We also draw attention to the challenges of integrating GenAI into personalized educational assessments regarding its potential risks to the assessment's core values of validity, reliability, and fairness. Finally, we discuss possible solutions and future directions.

Keywords: educational assessment; fairness; generative artificial intelligence; personalization; reliability; validity.

Publication types

  • Review

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by ETS Research Institute. This material is based upon work supported by the National Science Foundation and the Institute of Education Sciences under Grant #2229612. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation or the U.S. Department of Education.