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Zahrotush Sholikhah; Wiwiek Rabiatul Adawiyah; Bambang Agus Pramuka; Eka Pariyanti – Journal of International Education in Business, 2024
Purpose: Although the academic literature provides extensive insight into the motivations for the unethical use of information technology in online classes, little is known about how perceived justice, the opportunity to cheat and spiritual legitimacy mitigate unethical behavior among young academics. The purposes of this study are two folds:…
Descriptors: Cheating, Electronic Learning, Student Behavior, Religious Factors
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Rochdi Boudjehem; Yacine Lafifi – Education and Information Technologies, 2024
Teaching Institutions could benefit from Early Warning Systems to identify at-risk students before learning difficulties affect the quality of their acquired knowledge. An Early Warning System can help preemptively identify learners at risk of dropping out by monitoring them and analyzing their traces to promptly react to them so they can continue…
Descriptors: At Risk Students, Identification, Dropouts, Student Behavior
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Miftah Arifin; Anas Ma'ruf Annizar; Moh. Khusnuridlo; Abd. Halim Soebahar; Agus Yudiawan – Journal of Education and e-Learning Research, 2025
This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, College Students
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Mohammed Munther Al-Hammouri; Jehad A. Rababah – Online Learning, 2025
Online learning has become a popular form of education, particularly accelerated by the COVID19 pandemic, providing flexibility but posing challenges like reduced collaboration, limited student-faculty interactions, and decreased engagement. Therefore, there is a pressing need to implement effective instructional modalities, designs, and…
Descriptors: Educational Games, Learner Engagement, Electronic Learning, Student Behavior
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Tejas R. Shah; Poonam Chhaniwal – International Journal of Learning Technology, 2024
This study empirically tested a model examining the effect of four e-learning quality dimensions, i.e., information quality, system quality, service quality, and instructor quality as well as students' self-efficacy on e-learning behaviour--satisfaction and continued intentions that further affect students' academic performance. The research model…
Descriptors: Electronic Learning, Educational Quality, Self Efficacy, Student Behavior
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Ahmet Kara; Funda Ergulec; Esra Eren – Education and Information Technologies, 2024
Online learning environments have become increasingly prevalent in higher education, necessitating an understanding of factors influencing student engagement. This study examines the mediating role of self-regulated online learning in the relationship between five-factor personality traits and student engagement among university students. A sample…
Descriptors: Self Management, Electronic Learning, Student Behavior, Personality Traits
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Yue Li – Education & Training, 2024
Purpose: This paper aims to investigate the effects of four types of cyber entrepreneurship courses on entrepreneurial self-efficacy (ESE) and intention. It is based on Social Cognitive Theory and Regulatory Focus Theory, which takes Chinese college students as the research objects. Design/methodology/approach: Approximately 101 senior business…
Descriptors: Entrepreneurship, Business Education, Electronic Learning, College Students
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Akbari, Morteza; Danesh, Mozhgan; Rezvani, Azadeh; Javadi, Nazanin; Banihashem, Seyyed Kazem; Noroozi, Omid – Education and Information Technologies, 2023
Over the last decades, using e-learning systems as an alternative format of education for traditional classroom has been growing in higher education and due to COVID-19 pandemic, this transition has been unprecedently accelerated. Although there is a large body of research on e-learning, little is known about the extent to which innovative and…
Descriptors: College Students, Electronic Learning, Identification (Psychology), Interpersonal Relationship
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Venisha Jenifer Dmello; Vadiraj Jagannathrao; Ambigai Rajendran; Shilpa Badrinath Bidi; Tathagata Ghosh; Jaspreet Kaur; Kavitha Haldorai – Cogent Education, 2023
Despite the massive growth and benefits of online learning platforms, engaging and retaining learners showcases a major challenge in the present scenario. There is a dearth of literature on measuring the antecedent factors of learner engagement behavior through mediating effect in the online learning context. Therefore, the current study was…
Descriptors: Electronic Learning, Learner Engagement, Student Behavior, Intention
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Lasse X. Jensen; Margaret Bearman; David Boud – Teaching in Higher Education, 2025
Understanding how students engage with feedback is often reduced to a study of feedback messages that sheds little light on effects. Using the emerging notion of feedback encounters as an analytical lens, this study examines what characterizes productive feedback encounters when learning online. Drawing from a cross-national digital ethnographic…
Descriptors: Feedback (Response), Electronic Learning, Foreign Countries, College Students
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Humida, Thasnim; Al Mamun, Md Habib; Keikhosrokiani, Pantea – Education and Information Technologies, 2022
Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student's behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh.…
Descriptors: Student Behavior, Intention, Electronic Learning, College Students
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Ruchika Vatsa; Purnima Bhatnagar – International Journal of Information and Learning Technology, 2024
Purpose: The purpose of this paper is to apply systems modeling to explore the usability of the online learning platform in the future compared to its usefulness during the pandemic era. Design/methodology/approach: The applied systems research methodology has been used to develop a stock-flow model encompassing enablers and constraints for…
Descriptors: Electronic Learning, Student Behavior, Student Motivation, COVID-19
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Amin Khalifeh; Mohammad Hamdi Al Khasawneh; Mohammad Alrousan; Ahmad Samed Al-Adwan; Firas Wahsheh; Fandi Yousef Omeish; Husam Ananzeh – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This research aims to empirically investigate and answer the following research questions: Do students' self-control and smartphone e-learning readiness influence smartphone-cyberloafing, and does gender play a role in this relationship? Background: Research indicates that many students' learning time is wasted due to cyberloafing,…
Descriptors: Foreign Countries, Student Behavior, Self Control, Telecommunications
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Youssouf Abda; Zohra Mehenaoui; Yacine Lafifi; Rochdi Boudjehem – Education and Information Technologies, 2024
In this paper, we present an approach for online course evaluation based on learners' behaviors during the learning process, where the course creator can monitor the quality status of their online courses based on learners' learning outcomes and then intervene to improve the success rate. For this purpose, a set of criteria has been developed.…
Descriptors: Educational Quality, Quality Assurance, Electronic Learning, Evaluation Methods
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Bo Jiang; Yuang Wei; Meijun Gu; Chengjiu Yin – Interactive Learning Environments, 2024
The purpose of this study is to explore students' backtracking patterns in using a digital textbook, reveal the relationship between backtracking behaviors and academic performance as well as learning styles. This study was carried out for 2 semesters on 102 university students and they are required to use a digital textbook system called DITeL to…
Descriptors: Student Behavior, Electronic Learning, Electronic Publishing, Textbooks
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