Predicting behavior trends among students based on personality traits

Abstract

With the development of online activities, a remarkable change is observed on human behavior and personality. With the development of machine learning and other statistical techniques, we can define user's personality, preferences and other interests based on their online and daily life activities. In this paper we have wanted to see if machine learning techniques can be applied to predict certain user behavior patterns based on their personality traits. The goal of this paper is to find students preferences on online tutorial vs class lecture and to find particular pattern on students personality traits. We also try to find a student is happy or not based on his personality. From our research we can say that given enough data personality traits can be used to predict other behaviors among humans.