Efficient student learning analysis based on Q-learning approach

Abstract: The main objective of our process is to identify the student learning capacity and based on the marks and how to provide the teaching mechanisms of schools in centum marks. Especially to analyze the student learning capacity of physics subject. Provide that the real time student physics marks information as input. Based on the marks of the students we are going to identify the student capacity and predict the teaching methodology to that particular student. To identify the best learning method is used for Q-Learning algorithm. Q-Learning algorithm is a model free Reinforcement learning algorithm. It is mainly to identify the optimized solution. The optimized solution is identified based on the marks taken by the students in the exams. Keywords: Cognitive styles, Q-Learning, questionnaire, heuristics, inferential, relational, Correlation Analysis.