Psychological Classification of Predicting Students Academic Performance using Hidden Markov Model

Hidden Markov Model are commonly used to analyse real world problems. Modeling and predicting human behavior is an active research domain. Machine learning techniques to build a statistical model using observations. This paper emphasizes how hidden markov model is used potentially as a tool for predicting the academic performance of students in a psychological approach. This tool helps trainer to improve the performance of each students for the next assessment. Using hidden markov model(HMM) the hidden state of each student can be examined , according to the Observations of the students (marks), we can able to predict the hidden state in a Psychological way. That is ,Whether the students are in Stress, Hardwork, Unhealthy ,Lazy at the time of Assessment. Based on the statistical method and probability theory we can classify the students behavior.