Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning Towards Improved Problem Solving
Shabrina, P., Mostafavi, B., Abdelshiheed, M., Chi, M., & Barnes, T. (2023, August 21). INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION.
Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach
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.
2017 journal article
Evolution of an Intelligent Deductive Logic Tutor Using Data-Driven Elements
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 27(1), 5–36.
2016 conference paper
An analysis of feature selection and reward function for model-based reinforcement learning
Intelligent tutoring systems, its 2016, 0684, 504–505.
Combining Worked Examples and Problem Solving in a Data-Driven Logic Tutor
INTELLIGENT TUTORING SYSTEMS, ITS 2016, Vol. 9684, pp. 347–353.
Data-driven Proficiency Profiling - Proof of Concept
LAK '16 CONFERENCE PROCEEDINGS: THE SIXTH INTERNATIONAL LEARNING ANALYTICS & KNOWLEDGE CONFERENCE, pp. 324–328.
2015 conference paper
Data-driven worked examples improve retention and completion in a logic tutor
Artificial intelligence in education, aied 2015, 9112, 726–729.