Title: The role of personality traits on learning styles of engineering and management students studying the internet of things knowledge areas

Authors: Arjun V. Singar; Shashi Jain

Addresses: Indian Institute of Science, CV Raman Rd, Bengaluru, Karnataka 560012, India ' Indian Institute of Science, CV Raman Rd, Bengaluru, Karnataka 560012, India

Abstract: The purpose of this study is to assess the role of personality traits on learning styles amongst engineering and management students studying the internet of things (IoT) related knowledge areas. The final year engineering and management students from Karnataka, who studied the IoT related knowledge areas, were the target respondents of this study. The total number of respondents for the study was 2,315 students out of which 1,588 were from the engineering programme and 727 were from the management programme. The data collection instrument was questionnaire-based and was prepared by referring to the big five model for personality traits and Felder and Silverman model for learning styles. The study revealed a significant relationship between the personality traits and the learning styles in the sample population. However, the study also concluded that there is no significant difference in the path of the relationship between the personality traits and the learning styles amongst engineering and management students.

Keywords: personality traits; learning styles; internet of things; IoT; big five model; engineering; management; learning style index.

DOI: 10.1504/IJKL.2024.140826

International Journal of Knowledge and Learning, 2024 Vol.17 No.5, pp.511 - 528

Received: 09 Aug 2021
Accepted: 25 Jun 2022
Published online: 03 Sep 2024 *

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