Works (9)
2023 article
Exploring the Effect of Autoencoder Based Feature Learning for a Deep Reinforcement Learning Policy for Providing Proactive Help
Alam, N., Mostafavi, B., Chi, M., & Barnes, T. (2023, January 1). Communications in Computer and Information Science.
2023 article
Impact of Learning a Subgoal-Directed Problem-Solving Strategy Within an Intelligent Logic Tutor
Shabrina, P., Mostafavi, B., Chi, M., & Barnes, T. (2023, January 1). Lecture Notes in Computer Science.
2023 journal article
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.
2018 article
Improving Learning & Reducing Time
Shen, S., Ausin, M. S., Mostafavi, B., & Chi, M. (2018, July 3).
2016 conference paper
An analysis of feature selection and reward function for model-based reinforcement learning
Intelligent tutoring systems, its 2016, 0684, 504–505.
2016 article
Combining Worked Examples and Problem Solving in a Data-Driven Logic Tutor
Liu, Z., Mostafavi, B., & Barnes, T. (2016, January 1). Lecture Notes in Computer Science.
2016 article
Data-driven proficiency profiling
Mostafavi, B., & Barnes, T. (2016, April 22).
2016 article
Evolution of an Intelligent Deductive Logic Tutor Using Data-Driven Elements
Mostafavi, B., & Barnes, T. (2016, April 19). International Journal of Artificial Intelligence in Education.
2015 conference paper
Data-driven worked examples improve retention and completion in a logic tutor
Artificial intelligence in education, aied 2015, 9112, 726–729.