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Behrooz Mostafavi
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2020 – today
- 2024
- [j2]Preya Shabrina, Behrooz Mostafavi, Mark Abdelshiheed, Min Chi, Tiffany Barnes:
Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning Towards Improved Problem Solving. Int. J. Artif. Intell. Educ. 34(3): 825-861 (2024) - [c26]Nazia Alam, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi, Tiffany Barnes:
How Much Training is Needed? Reducing Training Time using Deep Reinforcement Learning in an Intelligent Tutor. EDM 2024 - [c25]Sutapa Dey Tithi, Behrooz Mostafavi, Arun Kumar Ramesh, Tiffany Barnes:
Strategic Interface Design Can Improve Learning Efficiency in an Intelligent Tutoring System. EDM 2024 - [c24]Clifford A. Shaffer, Peter Brusilovsky, Ken Koedinger, Thomas W. Price, Tiffany Barnes, Behrooz Mostafavi:
Ninth SPLICE Workshop on Technology and Data Infrastructure for CS Education Research. SIGCSE (2) 2024: 1904 - 2023
- [c23]Nazia Alam, Mehak Maniktala, Behrooz Mostafavi, Min Chi, Tiffany Barnes:
Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor? AAAI 2023: 15895-15902 - [c22]Nazia Alam, Behrooz Mostafavi, Min Chi, Tiffany Barnes:
Exploring the Effect of Autoencoder Based Feature Learning for a Deep Reinforcement Learning Policy for Providing Proactive Help. AIED (Posters/Late Breaking Results/...) 2023: 278-283 - [c21]Preya Shabrina, Behrooz Mostafavi, Min Chi, Tiffany Barnes:
Impact of Learning a Subgoal-Directed Problem-Solving Strategy Within an Intelligent Logic Tutor. AIED 2023: 389-400 - [c20]Preya Shabrina, Behrooz Mostafavi, Sutapa Dey Tithi, Min Chi, Tiffany Barnes:
Learning Problem Decomposition-Recomposition with Data-driven Chunky Parsons Problems within an Intelligent Logic Tutor. EDM 2023 - 2022
- [i1]Preya Shabrina, Behrooz Mostafavi, Mark Abdelshiheed, Min Chi, Tiffany Barnes:
Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning towards Improved Problem Solving. CoRR abs/2208.04696 (2022)
2010 – 2019
- 2019
- [c19]Jeremiah T. Folsom-Kovarik, Dar-Wei Chen, Behrooz Mostafavi, Keith Brawner:
Measuring the Complexity of Learning Content to Enable Automated Comparison, Recommendation, and Generation. HCI (32) 2019: 188-203 - [c18]Jeremiah T. Folsom-Kovarik, Behrooz Mostafavi, Robert A. Sottilare, Ian Davidson, Ray Perez, Peter B. Walker:
Approaches to Enhancing Transfer of Training using Adaptive Instructional Systems. SoftCOM 2019: 1-6 - 2018
- [c17]Christa Cody, Behrooz Mostafavi, Tiffany Barnes:
Investigation of the Influence of Hint Type on Problem Solving Behavior in a Logic Proof Tutor. AIED (2) 2018: 58-62 - [c16]Shitian Shen, Behrooz Mostafavi, Collin F. Lynch, Tiffany Barnes, Min Chi:
Empirically Evaluating the Effectiveness of POMDP vs. MDP Towards the Pedagogical Strategies Induction. AIED (2) 2018: 327-331 - [c15]Shitian Shen, Markel Sanz Ausin, Behrooz Mostafavi, Min Chi:
Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach. UMAP 2018: 43-51 - 2017
- [j1]Behrooz Mostafavi, Tiffany Barnes:
Evolution of an Intelligent Deductive Logic Tutor Using Data-Driven Elements. Int. J. Artif. Intell. Educ. 27(1): 5-36 (2017) - [c14]Joshua Cook, Collin F. Lynch, Andrew Hicks, Behrooz Mostafavi:
Task and Timing: Separating Procedural and Tactical Knowledge in Student Models. EDM 2017 - [c13]Christa Cody, Behrooz Mostafavi:
Investigating the Impact of Unsolicited Next-Step and Subgoal Hints on Dropout in a Logic Proof Tutor (Abstract Only). SIGCSE 2017: 705 - 2016
- [c12]Behrooz Mostafavi, Tiffany Barnes:
Exploring the Impact of Data-driven Tutoring Methods on Students' Demonstrative Knowledge in Logic Problem Solving. EDM 2016: 460-465 - [c11]Zhongxiu Liu, Behrooz Mostafavi, Tiffany Barnes:
Combining Worked Examples and Problem Solving in a Data-Driven Logic Tutor. ITS 2016: 347-353 - [c10]Behrooz Mostafavi, Tiffany Barnes:
Data-driven proficiency profiling: proof of concept. LAK 2016: 324-328 - 2015
- [c9]Behrooz Mostafavi, Guojing Zhou, Collin F. Lynch, Min Chi, Tiffany Barnes:
Data-Driven Worked Examples Improve Retention and Completion in a Logic Tutor. AIED 2015: 726-729 - [c8]Behrooz Mostafavi, Zhongxiu Liu, Tiffany Barnes:
Data-Driven Proficiency Profiling. EDM 2015: 335-341 - [c7]Behrooz Mostafavi, Michael Eagle, Tiffany Barnes:
Towards data-driven mastery learning. LAK 2015: 270-274 - 2014
- [c6]Michael Eagle, Vinaya Polamreddi, Behrooz Mostafavi, Tiffany Barnes:
Exploration of Student's Use of Rule Application References in a Propositional Logic Tutor. EDM 2014: 249-252 - [c5]Behrooz Mostafavi, Tiffany Barnes:
Evaluation of Logic Proof Problem Difficulty Through Student Performance Data. EDM (Workshops) 2014 - 2013
- [c4]Behrooz Mostafavi, Tiffany Barnes:
Determining Problem Selection for a Logic Proof Tutor. EDM 2013: 387-389 - 2011
- [c3]Behrooz Mostafavi:
Automatic Generation of Deductive Logic Proof Problems. AIED 2011: 606-608 - [c2]Behrooz Mostafavi, Tiffany Barnes, Marvin J. Croy:
Automatic Generation of Proof Problems in Deductive Logic. EDM 2011: 289-294 - 2010
- [c1]Behrooz Mostafavi, Tiffany Barnes:
Towards the Creation of a Data-Driven Programming Tutor. Intelligent Tutoring Systems (2) 2010: 239-241
Coauthor Index
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