An Association between Trait Emotional Intelligence and Personality Trait Based on Students Performance

Data mining is used to extract meaningful patterns, interesting patterns from databases or repositories. The aim of this study is to find the relation between the personality of an individual and the trait emotional intelligence ('trait EI') based on the academic performance of the individual, this study also involves of how a student will perform academically in accordance to the factors like locality and gender. Using the Trait Emotional Intelligence Questionnaire (TEIQue) the students were divided into five trait emotional intelligence (EI) variables (wellbeing, self-control, emotionality, sociability, and global trait EI), then their personalities were categorized under extraversion, neuroticism and psychoticism using the Eynseck Personality Questionnaire (EPQ). Data mining techniques, Association Rule Mining and Multilayer Perceptron were applied to the resultant data set. This study was conducted to provideinsight of how the students will perform academically and non-academically, based on their TEI and Personality Traits. This analysis can be used to help the students know about their standing and what could be done to improve themselves. It was found that students who scored high in trait EI and those who had high personality trait scores performed well academically, like wise students from rural areas and male students who had high Trait EI scores achieved well academically.