Publication Date
| In 2026 | 0 |
| Since 2025 | 12 |
| Since 2022 (last 5 years) | 64 |
| Since 2017 (last 10 years) | 71 |
| Since 2007 (last 20 years) | 83 |
Descriptor
| Electronic Learning | 84 |
| Student Behavior | 84 |
| Technology Uses in Education | 84 |
| Foreign Countries | 53 |
| Student Attitudes | 33 |
| College Students | 32 |
| Educational Technology | 29 |
| Intention | 24 |
| Learner Engagement | 18 |
| Handheld Devices | 16 |
| Higher Education | 15 |
| More ▼ | |
Source
Author
| Abd. Halim Soebahar | 1 |
| Abdullah Al-Abri | 1 |
| Abdulvahap Sönmez | 1 |
| Agus Yudiawan | 1 |
| Ahmed Ashraf Butt | 1 |
| Ahmet Göçen | 1 |
| Ai Na Seow | 1 |
| Aida Tarifa-Rodriguez | 1 |
| Akgül, Yakup | 1 |
| Alasmari, Talal | 1 |
| Alonso Gago | 1 |
| More ▼ | |
Publication Type
Education Level
Audience
| Students | 1 |
Location
| China | 8 |
| Indonesia | 6 |
| Philippines | 6 |
| Turkey | 6 |
| Australia | 3 |
| Malaysia | 3 |
| Netherlands | 3 |
| Saudi Arabia | 3 |
| South Korea | 3 |
| Estonia | 2 |
| Italy | 2 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Watson Glaser Critical… | 1 |
What Works Clearinghouse Rating
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
Mbonisi Maku; Ernest Nikisi; Omobayo Ayokunle Esan; Munienge Mbodila; Patrick Bwowe – International Journal of Education and Development using Information and Communication Technology, 2025
The rapid growth in information communication technology (ICT) usage has brought remarkable changes in higher education. Many higher education institutions around the globe are adopting e-learning platforms as one of the primary ways of delivering teaching and learning among students. During the COVID-19 pandemic, South African higher education…
Descriptors: Foreign Countries, Electronic Learning, Disadvantaged Schools, Universities
Ai Na Seow; Siew Yong Lam; Yuen Onn Choong; Chee Keong Choong – Quality Assurance in Education: An International Perspective, 2024
Purpose: The purpose of this study is to investigate students' attitudes, self-efficacy and emotional behaviour associated with online learning and the effectiveness of online learning. Design/methodology/approach: A research model was formulated and analysed with the structural equation modelling technique. The respondents consist of 843 students…
Descriptors: Electronic Learning, Distance Education, Technology Uses in Education, Private Colleges
Hang Wang; Xiaorong Hou; Jiaxiu Liu; Xiaoyu Zhou; Mengyao Jiang; Jing Liao – Education and Information Technologies, 2025
The purpose of this study was to explore the factors of college students' learning intention when they use online learning platforms by using structural equation model (SEM), integration technology acceptance model (TAM) and planned behavior theory (TPB). With the help of this study, the development of distance online learning for college students…
Descriptors: Academic Achievement, Learning Motivation, College Students, Intention
Francisco Ortin; Alonso Gago; Jose Quiroga; Miguel Garcia – International Educational Data Mining Society, 2025
Online learning has enhanced accessibility in education, but also poses significant challenges in maintaining academic integrity during online exams, particularly when students are prohibited from accessing unauthorized resources through the Internet. Nonetheless, students must remain connected to the Internet in order to take the online exam.…
Descriptors: Electronic Learning, Computer Assisted Testing, Access to Internet, Synchronous Communication
Marc Philipp Janson; Stefan Janke – International Journal of Educational Technology in Higher Education, 2024
Digital learning environments provide opportunities to support learning in higher education. However, it is yet unclear why and how learners use these opportunities. We propose that learners' achievement goals and their beliefs regarding the instrumentality of e-learning tools to achieve those goals are predictive for learning behavior within…
Descriptors: Electronic Learning, Academic Achievement, Goal Orientation, Learning Processes
Gerd Kortemeyer; Wolfgang Bauer – Physical Review Physics Education Research, 2024
As a result of the pandemic, many physics courses moved online. Alongside, the popularity of Internet-based problem-solving sites and forums rose. With the emergence of large language models, another shift occurred. One year into the public availability of these models, how has online help-seeking behavior among introductory physics students…
Descriptors: Web Sites, Cheating, Artificial Intelligence, Electronic Learning
Hui Shi; Nuodi Zhang; Secil Caskurlu; Hunhui Na – Journal of Computer Assisted Learning, 2025
Background: The growth of online education has provided flexibility and access to a wide range of courses. However, the self-paced and often isolated nature of these courses has been associated with increased dropout and failure rates. Researchers employed machine learning approaches to identify at-risk students, but multiple issues have not been…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, At Risk Students
Imdadullah Hidayat-Ur-Rehman – Interactive Technology and Smart Education, 2024
Purpose: The integration of digital technologies into education has brought about a profound transformation, fundamentally reshaping the learning landscape. The purpose of this study is to underscore the importance of investigating the factors influencing students' engagement (SE) in this evolving digital era, particularly within formal digital…
Descriptors: Learner Engagement, Handheld Devices, Telecommunications, Personal Autonomy
Myong-Hee Ko; Gayeong Jung; Jee Eun Kim – English Teaching, 2024
The current study examines the digital behaviors of 124 university students enrolled in a blended learning class in Korea. The students were divided into two groups (upper and lower) based on their scores on a self-regulated learning questionnaire. Their digital behaviors were compared across four areas: (a) task completion scores; (b) strategy…
Descriptors: Self Management, Educational Technology, Technology Uses in Education, Student Behavior
Xiao-Rong Guo; Shao-Ying Gong; Si-Yang Liu; Jing Wang; Yan-Qing Wang; Xin Zhao – European Journal of Psychology of Education, 2025
Previous studies have pointed out that leisure motivational interference was an important factor affecting students' learning satisfaction. This study concentrates on three unexplored areas in the current literature on leisure motivational interference and learning satisfaction. Specifically, it is the first to (a) focus on the effects of digital…
Descriptors: Leisure Time, Student Motivation, College Students, Electronic Learning
Anamika Chandra; Sarthak Sengupta; Anurika Vaish – Education and Information Technologies, 2025
E-learning systems have strengthened the learning process among students by providing online learning opportunities to them. With the diminishing difference between the academic world and the job markets, students must get the full benefits of e-learning platforms. The disparity in online learning opportunities due to a lack of resources has…
Descriptors: College Students, Intention, Electronic Learning, Student Behavior
Aida Tarifa-Rodriguez; Javier Virues-Ortega; Ana Calero-Elvira – Journal of Behavioral Education, 2025
Few randomized controlled trials have evaluated social media study groups as educational aids in the context of online and blended teaching programs. We present the Behavioral Education in Social Media (BE-Social) intervention package, which integrates key evidence-informed behavioral intervention strategies delivered through a closed social media…
Descriptors: Social Media, Intervention, Study Habits, Student Behavior
S. Sageengrana; S. Selvakumar; S. Srinivasan – Interactive Learning Environments, 2024
Students are termed "multitaskers," and it is likely that they easily fall prey to other subjects or topics that most interest them. They occasionally took heed or gave close and thoughtful attention to the lectures they were on. In the current educational system, our young generations receive materials from their leftovers, and their…
Descriptors: Electronic Learning, Dropouts, Student Behavior, Student Interests
Mohd Hanafi Azman Ong; Nur Syafikah Ibrahim – International Journal of Information and Learning Technology, 2024
Purpose: Since there is lack of studies in determine factors that affecting enjoyment sentiment when using online learning system, this study aims to explore the antecedents of perceived online learning enjoyment by using extended technology acceptance model (TAM) and its effect on behavioral intentions (BIN) among higher education institutions…
Descriptors: Electronic Learning, Positive Attitudes, Undergraduate Students, Public Colleges

Peer reviewed
Direct link
