| 2024 | EDM | How Much Training is Needed? Reducing Training Time using Deep Reinforcement Learning in an Intelligent Tutor. | Nazia Alam, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi, Tiffany Barnes |
| 2024 | EDM | Strategic Interface Design Can Improve Learning Efficiency in an Intelligent Tutoring System. | Sutapa Dey Tithi, Behrooz Mostafavi, Arun Kumar Ramesh, Tiffany Barnes |
| 2024 | SIGCSE | Ninth SPLICE Workshop on Technology and Data Infrastructure for CS Education Research. | Clifford A. Shaffer, Peter Brusilovsky, Ken Koedinger, Thomas W. Price, Tiffany Barnes, Behrooz Mostafavi |
| 2023 | AAAI | Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor? | Nazia Alam, Mehak Maniktala, Behrooz Mostafavi, Min Chi, Tiffany Barnes |
| 2023 | AIED | Exploring the Effect of Autoencoder Based Feature Learning for a Deep Reinforcement Learning Policy for Providing Proactive Help. | Nazia Alam, Behrooz Mostafavi, Min Chi, Tiffany Barnes |
| 2023 | AIED | Impact of Learning a Subgoal-Directed Problem-Solving Strategy Within an Intelligent Logic Tutor. | Preya Shabrina, Behrooz Mostafavi, Min Chi, Tiffany Barnes |
| 2023 | EDM | Learning Problem Decomposition-Recomposition with Data-driven Chunky Parsons Problems within an Intelligent Logic Tutor. | Preya Shabrina, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi, Tiffany Barnes |
| 2019 | HCI | Measuring the Complexity of Learning Content to Enable Automated Comparison, Recommendation, and Generation. | Jeremiah T. Folsom-Kovarik, Dar-Wei Chen, Behrooz Mostafavi, Keith Brawner |
| 2019 | SOFTCOM | Approaches to Enhancing Transfer of Training using Adaptive Instructional Systems. | Jeremiah T. Folsom-Kovarik, Behrooz Mostafavi, Robert A. Sottilare, Ian Davidson, Ray Perez, Peter B. Walker |
| 2018 | AIED | Investigation of the Influence of Hint Type on Problem Solving Behavior in a Logic Proof Tutor. | Christa Cody, Behrooz Mostafavi, Tiffany Barnes |
| 2018 | AIED | Empirically Evaluating the Effectiveness of POMDP vs. MDP Towards the Pedagogical Strategies Induction. | Shitian Shen, Behrooz Mostafavi, Collin F. Lynch, Tiffany Barnes, Min Chi |
| 2017 | EDM | Task and Timing: Separating Procedural and Tactical Knowledge in Student Models. | Joshua Cook, Collin F. Lynch, Andrew Hicks, Behrooz Mostafavi |
| 2017 | SIGCSE | Investigating the Impact of Unsolicited Next-Step and Subgoal Hints on Dropout in a Logic Proof Tutor (Abstract Only). | Christa Cody, Behrooz Mostafavi |
| 2016 | EDM | Exploring the Impact of Data-driven Tutoring Methods on Students' Demonstrative Knowledge in Logic Problem Solving. | Behrooz Mostafavi, Tiffany Barnes |
| 2016 | ITS | Combining Worked Examples and Problem Solving in a Data-Driven Logic Tutor. | Zhongxiu Liu, Behrooz Mostafavi, Tiffany Barnes |
| 2016 | LAK | Data-driven proficiency profiling: proof of concept. | Behrooz Mostafavi, Tiffany Barnes |
| 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 | EDM | Data-Driven Proficiency Profiling. | Behrooz Mostafavi, Zhongxiu Liu, Tiffany Barnes |
| 2015 | LAK | Towards data-driven mastery learning. | Behrooz Mostafavi, Michael Eagle, Tiffany Barnes |
| 2014 | EDM | Exploration of Student's Use of Rule Application References in a Propositional Logic Tutor. | Michael Eagle, Vinaya Polamreddi, Behrooz Mostafavi, Tiffany Barnes |
| 2014 | EDM | Evaluation of Logic Proof Problem Difficulty Through Student Performance Data. | Behrooz Mostafavi, Tiffany Barnes |
| 2013 | EDM | Determining Problem Selection for a Logic Proof Tutor. | Behrooz Mostafavi, Tiffany Barnes |
| 2011 | AIED | Automatic Generation of Deductive Logic Proof Problems. | Behrooz Mostafavi |
| 2011 | EDM | Automatic Generation of Proof Problems in Deductive Logic. | Behrooz Mostafavi, Tiffany Barnes, Marvin J. Croy |
| 2010 | ITS | Towards the Creation of a Data-Driven Programming Tutor. | Behrooz Mostafavi, Tiffany Barnes |