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An Impact of Emotional Happiness and Personality in Students’ Learning Environment

L. Arockiam, S. Charles, M. Amala Jayanthi


The education’s objective focuses on students. The objective of education is fulfilled once the students are moulded in their knowledge, skills and attitudes under efficient supervision of educators. According to the Bloom’s theory on learning activity, the learning activity of a person not only improves one’s knowledge and mental skills (i.e. Cognitive) but also his emotional areas (i.e. Affective). A person’s [4] is defined as the amalgamation of emotional, attitudinal, behavioural responses (i.e. Affective). Happiness is one of the, s (i.e. Affective) [16, 15].To be a well being and good personality is more important, and education helps a individual to grow as good personality and a wellbeing. Educational Data Mining is one of the Blooming applications in educational sector. It helps to understand better the learning activity of students and their overall involvement in the activity, focused on the further improvement of the quality and the productivity of the educational system. This research is to study the influence of the Personality traits and Emotional Happiness on the academic performance of the students according to Bloom’s theory [3, 4, 15].  Eysenck Personality Inventory and Criterion Reference Model used to determine the personality of the students. Oxford Happiness Inventory and Criterion Reference Model is used to evaluate the student’s emotional happiness. This paper researches the impact of Personality traits and Emotional Happiness [3] in students’ learning process based on the supervised and unsupervised techniques to analyse students’ dataset. Multi-Layer Perceptron and EM clustering Technique is employed .To cluster the students based on the Personality, Emotional Happiness Level and Performance[7] , Multi-Layer Perceptron and EM clustering Technique is employed .The study determines the association between students’ Personality, Emotional Happiness and Performance through descriptive and predictive modelling using mapping or function. It shows that there exists a positive correlation between student’s Personality, Emotional Happiness and Performance. This research allows the educators to understand students’ Behavioural, Attitudinal, Emotional Growth during the learning activity as a Personality and a wellbeing and provides appropriate training for improving their proficiency in academics [17,9].


Multi-Layer Perceptron, Expectation Maximization (EM) Clustering, Criterion Reference Model, Bloom’s Taxonomy, Affective Domain, Eysenck Personality Questionnaire, Personality Types.

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