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

V. Maria Antoniate Martin, M. Edison, George Gabriel Richard Roy


Data mining is used to extract meaningful patterns,
interesting patterns from databases or repositories. The aim of thisstudy is to find the relation between the personality of an individualand the trait emotional intelligence („trait EI‟) based on the academicperformance of the individual, this study also involves of how astudent will perform academically in accordance to the factors likelocality and gender. Using the Trait Emotional IntelligenceQuestionnaire (TEIQue) the students were divided into five traitemotional intelligence (EI) variables (wellbeing, self-control,emotionality, sociability, and global trait EI), then their personalitieswere categorized under extraversion, neuroticism and psychoticismusing the Eynseck Personality Questionnaire (EPQ). Data miningtechniques, 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 nonacademically,based on their TEI and Personality Traits. This analysiscan be used to help the students know about their standing and whatcould be done to improve themselves. It was found that students who
scored high in trait EI and those who had high personality trait scoresperformed well academically, like wise students from rural areas andmale students who had high Trait EI scores achieved wellacademically.


Data Mining, Association Rule Mining, TEI, Personality, Multilayer Perceptron, EPQ, TEIQue

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