使用生成式人工智能进行个性化教育评估的机遇与挑战。

IF 3 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Frontiers in Artificial Intelligence Pub Date : 2024-10-07 eCollection Date: 2024-01-01 DOI:10.3389/frai.2024.1460651
Burcu Arslan, Blair Lehman, Caitlin Tenison, Jesse R Sparks, Alexis A López, Lin Gu, Diego Zapata-Rivera
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引用次数: 0

摘要

与个性化学习的积极效果相一致,个性化评估有望最大限度地激发学习者的学习动机和参与度,让学习者展示自己真正的知识和能力。考虑到生成式人工智能(GenAI)的进步,在这篇视角文章中,我们阐述了将GenAI整合到个性化教育评估中的机遇,以最大限度地提高学习者的参与度、成绩和获取能力。我们还提请注意将 GenAI 整合到个性化教育评估中的挑战,即其对评估的核心价值--有效性、可靠性和公平性--的潜在风险。最后,我们讨论了可能的解决方案和未来方向。
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Opportunities and challenges of using generative AI to personalize educational assessment.

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.

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来源期刊
CiteScore
6.10
自引率
2.50%
发文量
272
审稿时长
13 weeks
期刊最新文献
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