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MINI REVIEW article

Front. Artif. Intell.
Sec. AI for Human Learning and Behavior Change
Volume 7 - 2024 | doi: 10.3389/frai.2024.1460651
This article is part of the Research Topic Generative AI in Education View all 4 articles

Opportunities and Challenges of Using Generative AI to Personalize Educational Assessment

Provisionally accepted

The final, formatted version of the article will be published soon.

    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 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: Personalization, educational assessment, Generative artificial intelligence, validity, Reliability, fairness. 1. Introduction Personalized learning has been shown to enhance learner motivation, engagement, And performance

    Received: 06 Jul 2024; Accepted: 04 Sep 2024.

    Copyright: © 2024 Arslan, Lehman, Tenison, Sparks, Lopez, Gu and Zapata-Rivera. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Burcu Arslan, ETS Research Institute, Princeton, NJ, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.