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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
Yael Yossel-Eisenbach; Aleksandra Gerkerova; Nitza Davidovitch – European Educational Researcher, 2025
The increasing reliance on digital technologies in higher education has significantly transformed teaching and learning practices, highlighting the distinct roles of research- and teaching-oriented faculty in digital pedagogy. Researchoriented faculty contribute to active digital learning by promoting critical thinking, problem-solving, and…
Descriptors: College Faculty, Teaching Methods, Learning Experience, Electronic Learning
Fu Chen; Shan Li; Lijia Lin; Xiaoshan Huang – Education and Information Technologies, 2024
Social annotation plays a crucial role in nurturing and sustaining a collaborative reading community, offering the potential to enhance students' motivation and performance within socially supportive learning environments. Nonetheless, research on the dynamic changes in student engagement in social annotation remains limited. This study aims to…
Descriptors: Computer Mediated Communication, Documentation, Undergraduate Students, Reading Assignments
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
D. Garmondyu Whorway – ProQuest LLC, 2024
Instruction, designed to impact learning, accentuates the quantity and quality of learner interactions. Theoretically, the higher the level or quantity of learner interaction within instruction, the higher the quality of instruction. Learner interactions are fostered through learner-to-learner (L2L), learner-to-instructor (L2I), and…
Descriptors: In Person Learning, Electronic Learning, Educational Quality, Student Behavior
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
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
Maria Townsend; Emma Champion; Gwendoline Berndt – Open Learning, 2025
Standard online tutorials at The Open University, based in the UK, are generally tutor-led with the tutor setting the agenda and content. This study investigated the inclusion of online student-led drop-in tutorials to support assessment on an OU level one module. The aims were to gauge the value to students of this style of tutorial, to…
Descriptors: Electronic Learning, Open Education, Tutorial Programs, Computer Assisted Testing
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
Monica Panaitisor – ProQuest LLC, 2024
Preparation of new graduate nurses is more important now than ever given the current state of health care. The pandemic has caused online nursing education to be a permanent content delivery modality across all degree programs. Best practices for e-learning only address course organization, instructional materials, learner interaction, course…
Descriptors: Self Management, Electronic Learning, Nursing Education, Undergraduate Study
Scott M. Pickett; Andrea T. Kozak; Daniel J. Lanni; Andrew S. Warnke; Philippe Gaillard; Nicole L. Jarrett – Journal of American College Health, 2024
Objective: The current study aimed to examine whether brief online stress reduction exercises supplemented with sleep improvement strategies would reduce stress, arousal, and sleep difficulties in college students who were not required to use the sleep improvement strategies for participation. Participants: A sample of 114 college student…
Descriptors: Undergraduate Students, Electronic Learning, Metacognition, Relaxation Training
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
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
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
Orji, Fidelia A.; Vassileva, Julita – Journal of Educational Computing Research, 2023
There is a dearth of knowledge on how persuasiveness of influence strategies affects students' behaviours when using online educational systems. Persuasiveness is a term used in describing a system's capability to motivate desired behaviour. Most existing approaches for assessing the persuasiveness of a system are based on subjective measures…
Descriptors: Influences, Student Behavior, Artificial Intelligence, Electronic Learning