| 2026 | CSEDU | Extending an Automatic Question Generation Pipeline with LLM-Based Free-Response Tasks: An Analysis of Performance Metrics Using Student Data. | Rachel Van Campenhout, Jeffrey S. Dittel, Bill Jerome, Benny G. Johnson |
| 2025 | CSEDU | AI Principles in Practice with a Learning Engineering Framework. | Rachel Van Campenhout, Nick Brown, Benny G. Johnson |
| 2025 | HCI | Learning Engineering in Practice: A Case Study on Developing LLM-Based Educational Tools. | Rachel Van Campenhout, David Soto-Karlin, Michelle Selinger, Bill Jerome |
| 2025 | ITS | Scaling Effective Characteristics of ITSs: A Preliminary Analysis of LLM-Based Personalized Feedback. | Rachel Van Campenhout, Jeffrey S. Dittel, Benny G. Johnson |
| 2024 | EDM | 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 |
| 2024 | LAK | 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 |
| 2024 | SOFTCOM | Automatically Generated Practice in the Classroom: Exploring Performance and Impact Across Courses. | Rachel Van Campenhout, Benny G. Johnson, Michelle W. Clark, Melissa Deininger, Shannon Harper, Kelly G. Odenweller, Erin Wilgenbusch |
| 2023 | AIED | 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 |
| 2023 | HCI | Iterative Improvement of Automatically Generated Practice with the Content Improvement Service. | Bill Jerome, Rachel Van Campenhout, Jeffrey S. Dittel, Richard Benton, Benny G. Johnson |
| 2023 | LAK | The Doer Effect at Scale: Investigating Correlation and Causation Across Seven Courses. | Rachel Van Campenhout, Bill Jerome, Jeffrey S. Dittel, Benny G. Johnson |
| 2023 | SOFTCOM | 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 |
| 2022 | AIED | Evaluating AI-Generated Questions: A Mixed-Methods Analysis Using Question Data and Student Perceptions. | Rachel Van Campenhout, Martha J. Hubertz, Benny G. Johnson |
| 2022 | AIED | 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 |
| 2022 | HCI | 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 |
| 2021 | AIED | 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 |
| 2021 | HCI | Learning Engineering as an Ethical Framework - A Case Study of Adaptive Courseware Development. | Rachel Van Campenhout |
| 2021 | HCI | Investigating Adaptive Activity Effectiveness Across Domains: Insights into Design Best Practices. | Rachel Van Campenhout, Bill Jerome, Jeffrey S. Dittel, Benny G. Johnson |
| 2020 | HCI | Supporting Metacognitive Learning Strategies Through an Adaptive Application. | Rachel Van Campenhout |
| 2020 | HCI | The Impact of Adaptive Activities in Acrobatiq Courseware - Investigating the Efficacy of Formative Adaptive Activities on Learning Estimates and Summative Assessment Scores. | Rachel Van Campenhout, Bill Jerome, Benny G. Johnson |