Students' cyberslacking behaviour in e-learning environments: the role of the Big Five personality traits and situational factors

Author:

Koay Kian YeikORCID,Poon Wai ChingORCID

Abstract

PurposeOnline learning has become more popular than ever in higher education owing to the COVID-19 pandemic. However, this has also intensified students' propensity to engage in cyberslacking behaviour during online classes without the physical presence of instructors to monitor their behaviour. Hence, this research aims to investigate the association of the Big Five personality traits and situational factors with students' cyberslacking behaviour during online classes.Design/methodology/approachA self-administered survey questionnaire was distributed to current university students undertaking online modules this semester. In all, 194 completed surveys were obtained for further analysis.FindingsThe results reveal that extraversion, conscientiousness, neuroticism and apathy towards course material have a significant association with at least one of the cyberslacking dimensions (sharing, shopping, real-time updating, accessing online content and gaming/gambling). However, agreeableness, intellect/imagination and class engagement are found to have no significant association with all the dimensions of students' cyberslacking behaviour during online classes.Originality/valueThis study fills the research gaps by empirically testing the association of the Big Five personality traits and situational factors with students' cyberslacking behaviour in e-learning environments. Several limitations and future research are also discussed.

Publisher

Emerald

Reference71 articles.

1. The relationship of cyberloafing behavior with big five personality traits;Australian Journal of Basic and Applied Sciences,2014

2. Influence of personality traits and learning styles on undergraduate medical students' academic achievement;Advances in Medical Education and Practice,2021

3. Covid-19 pandemic and online learning: the challenges and opportunities;Interactive Learning Environments,2020

4. In search of a measure to investigate cyberloafing in educational settings;Computers in Human Behavior,2016

5. Cyberloafing and social desirability bias among students and employees;Computers in Human Behavior,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3