| 2026 | AIED | From Intention to Text: AI-Supported Goal Setting in Academic Writing. | Yueling Fan, Richard Lee Davis, Olga Viberg |
| 2026 | AIED | Moving Beyond Review: Applying Language Models to Planning and Translation in Reflection. | Seyed Parsa Neshaei, Richard Lee Davis, Tanja Kser |
| 2025 | AIED | One Code to Predict Them All: Universal Encoding for Inquiry Modeling. | Jade Ma Cock, Valentine Delevaux, Ido Roll, Richard Lee Davis, Tanja Kser |
| 2025 | CHI | SketchAI: A "Sketch-First" Approach to Incorporating Generative AI into Fashion Design. | Richard Lee Davis, Kevin Fred Mwaita, Livia Mller, Daniel C. Tozadore, Aleksandra Novikova, Tanja Kser, Thiemo Wambsganss |
| 2025 | CHI | SpatiaLearn: Exploring XR Learning Environments for Reflective Writing. | Jinqiao Li, Seyed Parsa Neshaei, Livia Mller, Roman Rietsche, Richard Lee Davis, Thiemo Wambsganss |
| 2025 | EDM | Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information. | Hyeongdon Moon, Richard Lee Davis, Seyed Parsa Neshaei, Pierre Dillenbourg |
| 2025 | EDM | Bridging the Data Gap: Using LLMs to Augment Datasets for Text Classification. | Seyed Parsa Neshaei, Richard Lee Davis, Paola Mejia-Domenzain, Tanya Nazaretsky, Tanja Kser |
| 2025 | SIGCSE | Jupyter Analytics: A Toolkit for Collecting, Analyzing, and Visualizing Distributed Student Activity in Jupyter Notebooks. | Zhenyu Cai, Richard Lee Davis, Raphal Maritan, Roland Tormey, Pierre Dillenbourg |
| 2024 | CHI | Fashioning Creative Expertise with Generative AI: Graphical Interfaces for Design Space Exploration Better Support Ideation Than Text Prompts. | Richard Lee Davis, Thiemo Wambsganss, Wei Jiang, Kevin Gonyop Kim, Tanja Kser, Pierre Dillenbourg |
| 2024 | EDM | Investigation of behavioral Differences: Uncovering Behavioral Sources of Demographic Bias in Educational Algorithms. | Jade Ma Cock, Hugues Saltini, Haoyu Sheng, Riya Ranjan, Richard Lee Davis, Tanja Kser |
| 2024 | EDM | Towards Modeling Learner Performance with Large Language Models. | Seyed Parsa Neshaei, Richard Lee Davis, Adam Hazimeh, Bojan Lazarevski, Pierre Dillenbourg, Tanja Kser |
| 2024 | SIGCSE | A Comparative Analysis of Tools & Task Types for Measuring Computational Problem-Solving. | Engin Bumbacher, Jrme Brender, Richard Lee Davis |
| 2023 | CHI | Fashioning the Future: Unlocking the Creative Potential of Deep Generative Models for Design Space Exploration. | Richard Lee Davis, Thiemo Wambsganss, Wei Jiang, Kevin Gonyop Kim, Tanja Kser, Pierre Dillenbourg |
| 2023 | LAK | Protected Attributes Tell Us Who, Behavior Tells Us How: A Comparison of Demographic and Behavioral Oversampling for Fair Student Success Modeling. | Jade Ma Cock, Muhammad Bilal, Richard Lee Davis, Mirko Marras, Tanja Kser |
| 2022 | CHI | Mixplorer: Scaffolding Design Space Exploration through Genetic Recombination of Multiple Peoples' Designs to Support Novices' Creativity. | Kevin Gonyop Kim, Richard Lee Davis, Alessia Eletta Coppi, Alberto A. P. Cattaneo, Pierre Dillenbourg |
| 2020 | EDM | Measuring Ability-to-Learn Using Parametric Learning Gain Functions. | Chris Piech, Engin Bumbacher, Richard Lee Davis |
| 2020 | EDM | Variational Item Response Theory: Fast, Accurate, and Expressive. | Mike Wu, Richard Lee Davis, Benjamin W. Domingue, Chris Piech, Noah D. Goodman |