Influence of Students’ Personality Traits on Learning Style
Amala Jayanthi. M1, Lakshmana Kumar. R2, Hari Priya. K. P3

1Ms. Amala Jayanthi. M, Assistant Professor, Department of Computer Applications, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2Mr. Lakshmana Kumar. R, Assistant Professor, Department of Computer Applications, Hindusthan College of Engineering and Technology, Coimbatore (Tamil Nadu), India.
3Ms. Hari Priya. K. P, Student, Department of Computer Applications, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
Manuscript received on 12 December 2018 | Revised Manuscript received on 23 December 2018 | Manuscript Published on 09 January 2019 | PP: 220-223 | Volume-7 Issue-4S November 2018 | Retrieval Number: E2036017519/19©BEIESP
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Abstract: Students are the soul of Academics. The Goal of the education is students centric. The Motto of the education is to groom the students’ knowledge, skillsets and behavior under well-trained academician supervision in academics. Bloom’s theory on learning activity states, as the learning progress, a person’s not only grows in his/her knowledge and mental skills (i.e. Cognitive) but also in his/her emotions (i.e. Affective). Educational Data Mining is one of the budding research area in educational sector. It helps to enhance the standard of the academic system by understanding the educational method and their involvement within the higher manner. Personality is a blend of an individual emotional, Attitudinal, Behavioral responses. Personality is an intrinsic influence of emotions. As personality preferred learning style also an influence of attitude/behavior. This research is to study the influence of the personality trait of students on their Learning Style. The personality is of the students is evaluated using Eysenck Personality Inventory. The Learning form of the students is decided by the Honey and Mumford Learning Inventory. This paper finds out the impact of personality on the Learning style preferences of the students in their learning process by employing the supervised and unsupervised techniques on the students’ dataset. Navies Bayes Classification and K-Means clustering is utilized to classify the learners under their Learning and Personality classes. The study determines the existence of positive association between the students’ Personality and Learning Style through descriptive and predictive modelling using mapping or function. This investigation allows the teaching community to understand students’ Personality and Learning Style in the learning environment provide education with appropriate teaching style.
Keywords: Navies Bayes Classification, K-Means Clustering, Bloom’s Taxonomy, Affective Domain, Eysenck Personality Inventory, Personality Types, Honey and Mumford Learning Styles and Inventory.
Scope of the Article: Artificial Intelligence and Machine Learning