Michelle W. Clark

According to our database, Michelle W. Clark authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

Learn by Doing: An Exploration of AI-Generated Formative Practice.

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

Proceedings of the Twelfth ACM Conference on Learning @ Scale, 2025

Scaling the Doer Effect: A Replication Analysis Using AI-Generated Questions.

Rachel Van Campenhout, Kevin S. Autry, Michelle W. Clark, Benny G. Johnson

Proceedings of the Twelfth ACM Conference on Learning @ Scale, 2025

Open-Ended Questions Need Personalized Feedback: Analyzing LLM-Enabled Features with Student Data.

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

Proceedings of the Second Workshop on Automated Evaluation of Learning and Assessment Content co-located with 26th International Conference on Artificial Intelligence in Education (AIED 2025), 2025

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

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

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