Transforming Textbooks into Learning by Doing Environments: An Evaluation of Textbook-Based Automatic Question Generation. - Rachel Van Campenhout; Jeffrey S. Dittel; Bill Jerome; Benny G. Johnson (iTextbooks@AIED, 2021)

Investigating Adaptive Activity Effectiveness Across Domains: Insights into Design Best Practices. - Rachel Van Campenhout; Bill Jerome; Jeffrey S. Dittel; Benny G. Johnson (HCI (31), 2021)

Toward Effective Courseware at Scale: Investigating Automatically Generated Questions as Formative Practice. - Rachel Van Campenhout; Nick Brown; Bill Jerome; Jeffrey S. Dittel; Benny G. Johnson (L@S, 2021)

Parallel Construction: A Parallel Corpus Approach for Automatic Question Generation in Non-English Languages. - Benny G. Johnson; Jeffrey S. Dittel; Rachel Van Campenhout; Rodrigo Bistolfi; Aida Maeda; Bill Jerome (iTextbooks@AIED, 2022)

The Content Improvement Service: An Adaptive System for Continuous Improvement at Scale. - Bill Jerome; Rachel Van Campenhout; Jeffrey S. Dittel; Richard Benton; Scott Greenberg; Benny G. Johnson (HCI (42), 2022)

Discrimination of Automatically Generated Questions Used as Formative Practice. - Benny G. Johnson; Jeffrey S. Dittel; Rachel Van Campenhout; Bill Jerome (L@S, 2022)

Advancing Intelligent Textbooks with Automatically Generated Practice: A Large-Scale Analysis of Student Data. - Rachel Van Campenhout; Michelle W. Clark; Bill Jerome; Jeffrey S. Dittel; Benny G. Johnson (iTextbooks@AIED, 2023)

Iterative Improvement of Automatically Generated Practice with the Content Improvement Service. - Bill Jerome; Rachel Van Campenhout; Jeffrey S. Dittel; Richard Benton; Benny G. Johnson (HCI (34), 2023)

The Doer Effect at Scale: Investigating Correlation and Causation Across Seven Courses. - Rachel Van Campenhout; Bill Jerome; Jeffrey S. Dittel; Benny G. Johnson (LAK, 2023)

Exploring Student Persistence with Automatically Generated Practice through Interaction Patterns. - Rachel Van Campenhout; Michelle W. Clark; Jeffrey S. Dittel; Nick Brown; Richard Benton; Benny G. Johnson (SoftCOM, 2023)

Investigating Student Ratings with Features of Automatically Generated Questions: A Large-Scale Analysis using Data from Natural Learning Contexts. - Benny G. Johnson; Jeffrey S. Dittel; Rachel Van Campenhout (EDM, 2024)

Exploring Large Language Models for Evaluating Automatically Generated Questions. - Jeffrey S. Dittel; Michelle W. Clark; Rachel Van Campenhout; Benny G. Johnson (EcalLAC@AIED, 2024)

An Investigation of Automatically Generated Feedback on Student Behavior and Learning. - Rachel Van Campenhout; Murray Kimball; Michelle W. Clark; Jeffrey S. Dittel; Bill Jerome; Benny G. Johnson (LAK, 2024)

Scaling Effective Characteristics of ITSs: A Preliminary Analysis of LLM-Based Personalized Feedback. - Rachel Van Campenhout; Jeffrey S. Dittel; Benny G. Johnson (ITS (1), 2025)