Comparing strategies for modeling students learning styles through reinforcement learning in adaptive and intelligent educational systems: An experimental analysis

► We propose a new approach for automatic detection of students learning styles (LS). ► It uses the concept of dimensions, and describes LS in much detail. ► It uses probabilities to modeling students LS. ► It solves some important problems ignored in traditional approaches. ► Results of experiments have shown its efficiency.