Excited to share our group’s first publication in the Journal of Engineering Education!

Summary

Our paper, “Methodological foundations for artificial intelligence-driven survey question generation,” explores how genAI can be used to create adaptive, course-specific survey questions for engineering education and educational research. We have been developing a method we call the Synthetic Question–Response Analysis (SQRA), allowing us to evaluate and refine AI-generated questions before using them with students.

Our goal is to make it easier to collect meaningful, open-ended data at scale—without sacrificing quality. The new methods open up an exciting domain but also raise important questions about validity and trust.

Full paper here: https://onlinelibrary.wiley.com/doi/10.1002/jee.70012https://lnkd.in/e6eBScCY

Thanks to the whole team for pushing this forward! Especially: Ted Mburu for developing the methods and integrating the reflection tool securely within the Qualtrics environment; Joan Rong for the refinement, iteration, and comparative analysis of tool using student or synthetic data; Campbell McColley for his thoughtful reflection creation and writing throughout the project.

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