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An Impact of Emotional Happiness in Students' Learning Environment


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1 Department of Computer Science, St. Joseph's College, Tiruchirappalli, India
     

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The soul of education environment is students. Through Education, students are cultivated in their knowledge, skills and attitudes under supervision. According to the Bloom's view on learning activity, a person‟s learning activity not only depends on his knowledge and mental skills (i.e. Cognitive) but also on his emotional areas (i.e. Affective). Educational Data mining is one of the Blooming applications in educational sector. It helps in better understanding of student‟s learning process and their overall involvement in the process, focused on the improvement of the quality and the profitability of the educational system. This research is to study the students' performance which is influenced by their emotions as per Bloom's view, especially student's Emotional Happiness (i.e. Affective). The Emotional Happiness and the performance of the students are evaluated by the Oxford Happiness Inventory and Criterion reference model. This paper finds out the impact of emotional happiness in students' learning, which adopts the supervised and unsupervised techniques for analysing the students' dataset. Multilayer Perceptron and EM clustering Technique is employed to classify the students' based on the Emotional happiness and performance. The study determines the association between the students' happiness level and performance through descriptive and predictive modelling using mapping or function .It shows that there exists a positive correlation between student Happiness and performance. This Investigation allows the teaching community to understand student's behaviour and provide appropriate training for their improvement of academic competence.

Keywords

Multilayer Perceptron, Expectation Maximization (EM) Clustering, Criterion Reference Model, Bloom's Taxonomy, Affective Domain, Oxford Happiness Inventory, Emotions, Emotional Happiness.
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  • An Impact of Emotional Happiness in Students' Learning Environment

Abstract Views: 267  |  PDF Views: 3

Authors

L. Arockiam
Department of Computer Science, St. Joseph's College, Tiruchirappalli, India
S. Charles
Department of Computer Science, St. Joseph's College, Tiruchirappalli, India
M. Amala Jayanthi
Department of Computer Science, St. Joseph's College, Tiruchirappalli, India
A. Sahaya Mercy
Department of Computer Science, St. Joseph's College, Tiruchirappalli, India

Abstract


The soul of education environment is students. Through Education, students are cultivated in their knowledge, skills and attitudes under supervision. According to the Bloom's view on learning activity, a person‟s learning activity not only depends on his knowledge and mental skills (i.e. Cognitive) but also on his emotional areas (i.e. Affective). Educational Data mining is one of the Blooming applications in educational sector. It helps in better understanding of student‟s learning process and their overall involvement in the process, focused on the improvement of the quality and the profitability of the educational system. This research is to study the students' performance which is influenced by their emotions as per Bloom's view, especially student's Emotional Happiness (i.e. Affective). The Emotional Happiness and the performance of the students are evaluated by the Oxford Happiness Inventory and Criterion reference model. This paper finds out the impact of emotional happiness in students' learning, which adopts the supervised and unsupervised techniques for analysing the students' dataset. Multilayer Perceptron and EM clustering Technique is employed to classify the students' based on the Emotional happiness and performance. The study determines the association between the students' happiness level and performance through descriptive and predictive modelling using mapping or function .It shows that there exists a positive correlation between student Happiness and performance. This Investigation allows the teaching community to understand student's behaviour and provide appropriate training for their improvement of academic competence.

Keywords


Multilayer Perceptron, Expectation Maximization (EM) Clustering, Criterion Reference Model, Bloom's Taxonomy, Affective Domain, Oxford Happiness Inventory, Emotions, Emotional Happiness.