Opportunities and challenges of using generative AI to personalize educational assessment
Article Status
Published
Authors/contributors
- Arslan, Burcu (Author)
- Lehman, Blair (Author)
- Tenison, Caitlin (Author)
- Sparks, Jesse R. (Author)
- López, Alexis A. (Author)
- Gu, Lin (Author)
- Zapata-Rivera, Diego (Author)
Title
Opportunities and challenges of using generative AI to personalize educational assessment
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.
Publication
Frontiers in Artificial Intelligence
Volume
7
Pages
1460651
Date
2024-10-7
Journal Abbr
Front. Artif. Intell.
ISSN
2624-8212
Accessed
26/03/2025, 18:52
Library Catalogue
DOI.org (Crossref)
Extra
Citation Key: arslan2024
<标题>: 使用生成式人工智能个性化教育评估的机遇与挑战
<AI Smry>: The opportunities and challenges of integrating GenAI into personalized educational assessments regarding its potential risks to the assessment’s core values of validity, reliability, and fairness are elaborated.
Citation
Arslan, B., Lehman, B., Tenison, C., Sparks, J. R., López, A. A., Gu, L., & Zapata-Rivera, D. (2024). Opportunities and challenges of using generative AI to personalize educational assessment. Frontiers in Artificial Intelligence, 7, 1460651. https://doi.org/10.3389/frai.2024.1460651
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