Evaluating student performance using fuzzy inference system in fuzzy ITS
Pooja Asopa, Sneha Asopa, Nisheeth Joshi, Iti Mathur · 2016
The concept of intelligent agents has emerged from artificial intelligence and cognitive science. These intelligent agents can act as tutors and support students for problem solving in various domains. Agents which are based on the concept of fuzzy logic are termed as fuzzy agents. They can be used in modeling the uncertain behavior of various complex problems and also for predicting the uncertainty level of the students. Systems which have immense capabilities to provide its learners with step-by-step instructions as per their own learning status using computer based instructions are called Intelligent Tutoring System (ITS). The ITS system which has fuzzy characteristics can be called as fuzzy ITS. In this paper, the fuzzy inference system is developed and evaluated in MATLAB for fuzzy ITS which will help students in enhancing their learning skills.