Factors that lead to misbehaviour in class according to students' perception at UiTM Seremban 3 using Multiple Linear Regression (MLR) analysis

• Published in: Journal of Physics: Conference Series
• Main Author: Saharizan M.D.; Sam M.M.M.; Kahar N.S.M.; Yasin Z.A.M.M.
• Format: Conference paper
• Language: English
• Published: IOP Publishing Ltd 2021
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120829247&doi=10.1088%2f1742-6596%2f2084%2f1%2f012027&partnerID=40&md5=704d1ae15d2a4e2e8b6774329114760d

This study was conducted to describe the factors that lead to misbehaviour in class according to students' perception in University Technology Mara (UiTM) Seremban 3. 372 students were surveyed regarding their perception of the factors that lead to misbehaviour in class. There are five factors that the researchers want to study, which are the lecturer's personality, student's lifestyle, influence from social media, students' time management, and facilities. These five variables were chosen to determine the factors that lead to misbehaviour in class which is the main objective. To achieve the main objective of this study, Multiple Linear Regression (MLR) analysis will be used to come out with the result. Results show that three factors lead to misbehaviour in class. These factors are the lecturer's personality, influence from social media and students' time management. Other than that, there are several methods to achieve other research objectives. The Spearman correlation method was used to analyse the relationship between the factors that affect the students' perceptions of misbehaviour in class. The analysis shows that the relationship for lecturer's personality has a moderate positive relationship. In contrast, the other four factors, such as students' lifestyle, influence from social media, students' time management and facilities, have a weak positive relationship with students' perception of misbehaviour in class. Moreover, the Kruskal Wallis test was used to identify the final objective, identifying the differences in students' perceptions between different faculties in UiTM Seremban 3. The result shows that all students in the three faculties have the same perceptions of factors leading to misbehaviour in class. In conclusion, this study helps higher education organisations identify what makes students misbehave in class. Based on the results, organizations may know how to decrease misbehaviour cases among students. For these students, the administration needs to focus on the lecturer's personality, influence from media social, and students' time management in reducing the misbehaviour problem. © Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.