Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
SIETTE: A Web-Based Tool for Adaptive Testing
International Journal of Artificial Intelligence in Education
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The paper considers the e-learning systems that provide personalized content to their users and that permanently adapt to the evolution of the users during their learning stages. Such systems help the students to consolidate their knowledge faster than other methods. The main contribution is the proposal of a mathematical model of an adaptive learning system with the mentioned characteristics. The model involves a multi step process where, at each stage, the performances of the student are measured and the system is adapting accordingly.