Impact of Learning Style and Personality Traits on Students’ in Academics
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: 224-227 | Volume-7 Issue-4S November 2018 | Retrieval Number: E2037017519/19©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: The objective of education exclusively aims on students. The goal of education said to be achieved once the students’ knowledge, skill set and attitude is groomed under the efficient supervision of well-trained educators. Benjamin Bloom’s theory on learning process, a person not only get groomed in his knowledge and mental abilities (i.e. Cognitive) but also in his emotions (i.e. Affective).One’s personality is defined as the unification of emotional, attitudinal, behavioral responses (i.e. Affective). Learning is the way toward getting new data or capacity to fabricate data from definitely known data.Learning is influenced by the human behavior (i.e. Affective).Human behavior is influenced by the living environment. Education aims to provide efficient and peaceful environment to mold students’ personality and learning skills. Educational Data Mining is one of the budding applications in educational sector. It helps to understand better the students’ learning activity and their overall involvement in the activity. This allows the further improvement of the quality and the productivity of the educational system. Eysenck Personality Inventory and Criterion Reference Model used to determine the personality of the students. This exploration is to contemplate the impact of the Personality characteristics and Learning Styles on the scholarly execution of the understudies as indicated by Bloom’s Theory. Eysenck Personality Inventory and Criterion Reference Model used to decide the identity of the understudies. Supervised and unsupervised techniques are used to analyze students’ dataset. Students are clustered based on the Personality, Learning Style and Performance by employing Multi-Layer Perceptron and EM clustering Technique. Descriptive and Predictive modelling is applied to determine the association between students’ Personality, Learning Styles and Academic Performance using mapping or function. The study depicts the existence of positive correlation between student’s Personality traits, Learning styles and Academic Performance. This research helps the educators to understand students’ Behavioral, Attitudinal and Emotional Growth during the learning process as a Personality and their learning ability. It helps the educators’ to provide appropriate training for improving their expertise in academics accordingly.
Keywords: Multi-Layer Perceptron (MLP), Expectation Maximization (EM) Clustering, Criterion Reference Model, Bloom’s Taxonomy, Honey and Mumford’s Learning Questionnaire, Eysenck Personality Questionnaire, Personality Types.
Scope of the Article: Deep Learning