Behrooz Mostafavi

Alam, N., Mostafavi, B., Chi, M., & Barnes, T. (2023). Exploring the Effect of Autoencoder Based Feature Learning for a Deep Reinforcement Learning Policy for Providing Proactive Help. ARTIFICIAL INTELLIGENCE IN EDUCATION. POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS, DOCTORAL CONSORTIUM AND BLUE SKY, AIED 2023, Vol. 1831, pp. 278–283. https://doi.org/10.1007/978-3-031-36336-8_43

Shabrina, P., Mostafavi, B., Chi, M., & Barnes, T. (2023). Impact of Learning a Subgoal-Directed Problem-Solving Strategy Within an Intelligent Logic Tutor. ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2023, Vol. 13916, pp. 389–400. https://doi.org/10.1007/978-3-031-36272-9_32

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.