Behrooz Mostafavi

Shabrina, P., Mostafavi, B., Abdelshiheed, M., Chi, M., & Barnes, T. (2023). Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning Towards Improved Problem Solving. International Journal of Artificial Intelligence in Education, 8. https://doi.org/10.1007/s40593-023-00338-1

Shen, S., Ausin, M. S., Mostafavi, B., & Chi, M. (2018). Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach. PROCEEDINGS OF THE 26TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (UMAP'18), pp. 43–51. https://doi.org/10.1145/3209219.3209232

Mostafavi, B., & Barnes, T. (2017). Evolution of an Intelligent Deductive Logic Tutor Using Data-Driven Elements. INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 27(1), 5–36. https://doi.org/10.1007/s40593-016-0112-1

Shen, S. T., Lin, C., Mostafavi, B., Barnes, T., & Chi, M. (2016). An analysis of feature selection and reward function for model-based reinforcement learning. Intelligent tutoring systems, its 2016, 0684, 504–505.

Liu, Z., Mostafavi, B., & Barnes, T. (2016). Combining Worked Examples and Problem Solving in a Data-Driven Logic Tutor. INTELLIGENT TUTORING SYSTEMS, ITS 2016, Vol. 9684, pp. 347–353. https://doi.org/10.1007/978-3-319-39583-8_40

Mostafavi, B., & Barnes, T. (2016). Data-driven Proficiency Profiling - Proof of Concept. LAK '16 CONFERENCE PROCEEDINGS: THE SIXTH INTERNATIONAL LEARNING ANALYTICS & KNOWLEDGE CONFERENCE, pp. 324–328. https://doi.org/10.1145/2883851.2883935

Mostafavi, B., Zhou, G. J., Lynch, C., Chi, M., & Barnes, T. (2015). Data-driven worked examples improve retention and completion in a logic tutor. Artificial intelligence in education, aied 2015, 9112, 726–729.