AI-Generated Questions in Context: A Contextualized Investigation Using Platform Data, Student Feedback, and Faculty Observations

AI-Generated Questions in Context: A Contextualized Investigation Using Platform Data, Student Feedback, and Faculty Observations

In recent years, artificial intelligence has been leveraged to develop an automatic question generation (AQG) system that places formative practice questions alongside textbook content in an ereader platform. Engaging with formative practice while reading is a highly effective learning strategy. AQG...

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Bibliographic Details
Main Authors: Rachel Van Campenhout, Benny G. Johnson, Michelle Clark, Melissa Deininger, Shannon Harper, Kelly Odenweller, Erin Wilgenbusch
Format: Article
Language:English
Published: Croatian Communications and Information Society (CCIS) 2025-06-01
Series:Journal of Communications Software and Systems
Subjects:
automatic question generation
performance metrics
question difficulty
persistence
natural learning context
student behavior
Online Access:https://jcoms.fesb.unist.hr/10.24138/jcomss-2024-0120/
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https://jcoms.fesb.unist.hr/10.24138/jcomss-2024-0120/

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