Reforming Physics Exams Using Openly Accessible Large Isomorphic Problem Banks created with the assistance of Generative AI: an Explorative Study

This paper explores using large isomorphic problem banks to overcome many challenges of traditional exams in large STEM classes, especially the threat of content sharing websites and generative AI to the security of exam items. We first introduce an efficient procedure for creating large numbers of...

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Veröffentlicht in:	arXiv.org 2023-10
Hauptverfasser:	Chen, Zhongzhou, Frederick, Emily, Cui, Colleen, Khan, Munaimah, Klatt, Christopher, Huang, Mercedith, Su, Shiyang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accessibility Artificial intelligence Correlation Factor analysis Generative artificial intelligence Large language models Physics Reforming Students
Online-Zugang:	Volltext
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