| 2024 | AIED | Aligning Tutor Discourse Supporting Rigorous Thinking with Tutee Content Mastery for Predicting Math Achievement. | Mark Abdelshiheed, Jennifer Jacobs, Sidney K. D'Mello |
| 2023 | AIED | Leveraging Deep Reinforcement Learning for Metacognitive Interventions Across Intelligent Tutoring Systems. | Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi |
| 2023 | AIED | A Unified Batch Hierarchical Reinforcement Learning Framework for Pedagogical Policy Induction with Deep Bisimulation Metrics. | Markel Sanz Ausin, Mark Abdelshiheed, Tiffany Barnes, Min Chi |
| 2023 | CogSci | Bridging Declarative, Procedural, and Conditional Metacognitive Knowledge Gap Using Deep Reinforcement Learning. | Mark Abdelshiheed, John Wesley Hostetter, Tiffany Barnes, Min Chi |
| 2023 | IVA | XAI to Increase the Effectiveness of an Intelligent Pedagogical Agent. | John Wesley Hostetter, Cristina Conati, Xi Yang, Mark Abdelshiheed, Tiffany Barnes, Min Chi |
| 2022 | AIED | Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer. | Mark Abdelshiheed, John Wesley Hostetter, Xi Yang, Tiffany Barnes, Min Chi |
| 2022 | CogSci | The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems. | Mark Abdelshiheed, John Wesley Hostetter, Preya Shabrina, Tiffany Barnes, Min Chi |
| 2021 | AIED | Evaluating Critical Reinforcement Learning Framework in the Field. | Song Ju, Guojing Zhou, Mark Abdelshiheed, Tiffany Barnes, Min Chi |
| 2021 | CogSci | Preparing Unprepared Students For Future Learning. | Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi |
| 2020 | CogSci | Metacognition and Motivation: The Role of Time-Awareness in Preparation for Future Learning. | Mark Abdelshiheed, Min Chi |