@inproceedings{van-campenhout-etal-2025-ai,
title = "{AI}-Generated Formative Practice and Feedback: Performance Benchmarks and Applications in Higher Education",
author = "van Campenhout, Rachel and
Clark, Michelle Weaver and
Dittel, Jeffrey S. and
Jerome, Bill and
Brown, Nick and
Johnson, Benny",
editor = "Wilson, Joshua and
Ormerod, Christopher and
Beiting Parrish, Magdalen",
booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers",
month = oct,
year = "2025",
address = "Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States",
publisher = "National Council on Measurement in Education (NCME)",
url = "https://aclanthology.org/2025.aimecon-main.36/",
pages = "337--344",
ISBN = "979-8-218-84228-4",
abstract = "Millions of AI-generated formative practice questions across thousands of publisher etextbooks are available for student use in higher education. We review the research to address both performance metrics for questions and feedback calculated from student data, and discuss the importance of successful applications in the classroom to maximize learning potential."
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%0 Conference Proceedings
%T AI-Generated Formative Practice and Feedback: Performance Benchmarks and Applications in Higher Education
%A van Campenhout, Rachel
%A Clark, Michelle Weaver
%A Dittel, Jeffrey S.
%A Jerome, Bill
%A Brown, Nick
%A Johnson, Benny
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers
%D 2025
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-218-84228-4
%F van-campenhout-etal-2025-ai
%X Millions of AI-generated formative practice questions across thousands of publisher etextbooks are available for student use in higher education. We review the research to address both performance metrics for questions and feedback calculated from student data, and discuss the importance of successful applications in the classroom to maximize learning potential.
%U https://aclanthology.org/2025.aimecon-main.36/
%P 337-344
Markdown (Informal)
[AI-Generated Formative Practice and Feedback: Performance Benchmarks and Applications in Higher Education](https://aclanthology.org/2025.aimecon-main.36/) (van Campenhout et al., AIME-Con 2025)
ACL
- Rachel van Campenhout, Michelle Weaver Clark, Jeffrey S. Dittel, Bill Jerome, Nick Brown, and Benny Johnson. 2025. AI-Generated Formative Practice and Feedback: Performance Benchmarks and Applications in Higher Education. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, pages 337–344, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).