Rachel Van Campenhout

According to our database, Rachel Van Campenhout authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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

Proceedings of the International Conference on Software, 2024

Are Students Reading? How Formative Practice Impacts Student Reading Behaviors in Etextbooks.

Nick Brown, Rachel Van Campenhout, Michelle W. Clark, Benny G. Johnson

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 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

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Exploring Large Language Models for Evaluating Automatically Generated Questions.

Jeffrey S. Dittel, Michelle W. Clark, Rachel Van Campenhout, Benny G. Johnson

Proceedings of the First Workshop on Automated Evaluation of Learning and Assessment Content co-located with the 25th International Conference on Artificial Intelligence in Education (AIED 2024), 2024

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

Proceedings of the 17th International Conference on Educational Data Mining, 2024

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

Proceedings of the International Conference on Software, 2023

The Doer Effect at Scale: Investigating Correlation and Causation Across Seven Courses.

Rachel Van Campenhout, Bill Jerome, Jeffrey S. Dittel, Benny G. Johnson

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 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

Proceedings of the Adaptive Instructional Systems, 2023

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

Proceedings of the Fifth International Workshop on Intelligent Textbooks 2023 co-located with the 24th International Conference on Artificial Intelligence in Education (AIED 2023), 2023

2022

Discrimination of Automatically Generated Questions Used as Formative Practice.

Benny G. Johnson, Jeffrey S. Dittel, Rachel Van Campenhout, Bill Jerome

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 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

Proceedings of the HCI International 2022 - Late Breaking Papers. Interaction in New Media, Learning and Games, 2022

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

Proceedings of the Fourth International Workshop on Intelligent Textbooks 2022 co-located with 23d International Conference on Artificial Intelligence in Education (AIED 2022), 2022

Evaluating AI-Generated Questions: A Mixed-Methods Analysis Using Question Data and Student Perceptions.

Rachel Van Campenhout, Martha Hubertz, Benny G. Johnson

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

Automatic Question Generation and the SmartStart Application.

Bill Jerome, Rachel Van Campenhout, Benny G. Johnson

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 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

Proceedings of the L@S'21: Eighth ACM Conference on Learning @ Scale, 2021

Investigating Adaptive Activity Effectiveness Across Domains: Insights into Design Best Practices.

Rachel Van Campenhout, Bill Jerome, Jeffrey S. Dittel, Benny G. Johnson

Proceedings of the Adaptive Instructional Systems. Design and Evaluation, 2021

Learning Engineering as an Ethical Framework - A Case Study of Adaptive Courseware Development.

Rachel Van Campenhout

Proceedings of the Adaptive Instructional Systems. Design and Evaluation, 2021

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

Proceedings of the Third International Workshop on Inteligent Textbooks 2021 Co-located with 22nd International Conference on Artificial Intelligence in Education (AIED 2021), 2021

2020

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

Proceedings of the Adaptive Instructional Systems, 2020

Supporting Metacognitive Learning Strategies Through an Adaptive Application.

Rachel Van Campenhout

Proceedings of the Adaptive Instructional Systems, 2020