Frank Stinar

According to our database, Frank Stinar authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

EdataWeave: Collecting Learning Behaviors across Multiple Platforms.

Frank Stinar, Ruohan Zong, Dong Wang, Nigel Bosch

Proceedings of the Thirteenth ACM Conference on Learning @ Scale, 2026

2025

Bidirectional Human-AI Collaboration for Equitable Student Performance Prediction via Deep Uncertainty Learning.

Ruohan Zong, Yang Zhang, Lanyu Shang, Frank Stinar, Nigel Bosch, Dong Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Fairness of Bayesian Knowledge Tracing for Math Learners of Different Reading Ability.

Frank Stinar, Haejin Lee, Clara Belitz, Nidhi Nasiar, Stephen Fancsali, Steve Ritter, Husni Almoubayyed, Ryan Baker, Jaclyn Ocumpaugh, Nigel Bosch

Proceedings of the 18th International Conference on Educational Data Mining, 2025

Applying DebiasEd: A Package for Mitigating Unfairness in Educational Data.

Jade Cock, Frank Stinar, René F. Kizilcec, Tanja Käser

Proceedings of the 18th International Conference on Educational Data Mining, 2025

Learning Behaviors Mediate the Effect of AI-powered Support for Metacognitive Calibration on Learning Outcomes.

Haejin Lee, Frank Stinar, Ruohan Zong, Hannah Valdiviejas, Dong Wang, Nigel Bosch

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

Surveying Contextualized Student Data Sharing Preferences for Educational AI.

Frank Stinar, Nigel Bosch

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Exploring Student Identity in Adaptive Learning Systems Through Qualitative Data.

Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Frank Stinar, Husni Almoubayyed, Steven Ritter, Ryan Baker, Jaclyn Ocumpaugh, Nigel Bosch

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Fair4AIED 2025: First International Workshop on Fairness in Algorithmic Decision-Making for Education.

Clara Belitz, Nigel Bosch, Lan Jiang, Ioana Jivet, Badmavasan Kirouchenassamy, Haejin Lee, Barbara Leporini, Francesca Maridina Malloci, Mirko Marras, Daniela Rotelli, Frank Stinar

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

2022

Algorithmic unfairness mitigation in student models: When fairer methods lead to unintended results.

Frank Stinar, Nigel Bosch

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Classification of Natural Language Descriptions for Bayesian Knowledge Tracing in Minecraft.

Samuel Hum, Frank Stinar, Haejin Lee, Jeffrey Ginger, H. Chad Lane

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022