| 2026 | AIED | Catalyst Without Convergence: Analyzing Student-AI Interaction Trajectories in Knowledge Building. | Guojing Zhou, Shaoming Chai, Zhenhai He |
| 2022 | EDM | Going Deep and Far: Gaze-based Models Predict Multiple Depths of Comprehension During and One Week Following Reading. | Megan Caruso, Candace E. Peacock, Rosy Southwell, Guojing Zhou, Sidney D'Mello |
| 2022 | EDM | Investigating Temporal Dynamics Underlying Successful Collaborative Problem Solving Behaviors with Multilevel Vector Autoregression. | Guojing Zhou, Robert Moulder, Chen Sun, Sidney D'Mello |
| 2021 | AIED | Evaluating Critical Reinforcement Learning Framework in the Field. | Song Ju, Guojing Zhou, Mark Abdelshiheed, Tiffany Barnes, Min Chi |
| 2020 | EDM | Pick the Moment: Identifying Critical Pedagogical Decisions Using Long-Short Term Rewards. | Song Ju, Min Chi, Guojing Zhou |
| 2020 | EDM | Student Subtyping via EM-Inverse Reinforcement Learning. | Xi Yang, Guojing Zhou, Michelle Taub, Roger Azevedo, Min Chi |
| 2020 | IJCAI | Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract). | Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi |
| 2019 | AIED | Hierarchical Reinforcement Learning for Pedagogical Policy Induction. | Guojing Zhou, Hamoon Azizsoltani, Markel Sanz Ausin, Tiffany Barnes, Min Chi |
| 2019 | CogSci | Big, Little, or Both? Exploring the Impact of Granularity on Learning for Students with Different Incoming Competence. | Guojing Zhou, Xi Yang, Min Chi |
| 2019 | EDM | Identifying Critical Pedagogical Decisions through Adversarial Deep Reinforcement Learning. | Song Ju, Guojing Zhou, Hamoon Azizsoltani, Tiffany Barnes, Min Chi |
| 2017 | CogSci | The Impact of Decision Agency & Granularity on Aptitude Treatment Interaction in Tutoring. | Guojing Zhou, Min Chi |
| 2017 | EDM | Towards Closing the Loop: Bridging Machine-induced Pedagogical Policies to Learning Theories. | Guojing Zhou, Jianxun Wang, Collin F. Lynch, Min Chi |
| 2016 | CogSci | The Impact of Granularity on the Effectiveness of Students' Pedagogical Decisions. | Guojing Zhou, Collin F. Lynch, Thomas W. Price, Tiffany Barnes, Min Chi |
| 2015 | AIED | Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor. | Behrooz Mostafavi, Guojing Zhou, Collin F. Lynch, Min Chi, Tiffany Barnes |
| 2015 | CogSci | The Impact of Granularity on Worked Examples and Problem Solving. | Guojing Zhou, Thomas W. Price, Collin F. Lynch, Tiffany Barnes, Min Chi |