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Showing 1 to 15 of 79 results Save | Export
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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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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Sondakh, Jullie Jeanette; Asaloei, Sandra Ingried; Werang, Basilius R. – Journal of University Teaching and Learning Practice, 2023
The rapid transformation in information and communication technology (ICT) has influenced change in other areas of human lives, including in the teaching and learning process in higher education institutions. This study explores: (1) how student perceived usefulness, perceived ease of use, attitude toward use, and behavioural intention to use an…
Descriptors: Student Behavior, Intention, Electronic Learning, College Students
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Javorcik, Tomas; Kostolanyova, Katerina; Havlaskova, Tatiana – Electronic Journal of e-Learning, 2023
Microlearning has become a promising modern and effective approach to the education of various groups in recent years. In order to be able to further develop microlearning and consider student individualities it is necessary to map their passage through a course in detail. The article presents the conclusions of a research carried out at the…
Descriptors: Learning Activities, Foreign Countries, Technology Uses in Education, Technological Literacy
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Yu-Yin Wang; Yu-Wei Chuang – Interactive Learning Environments, 2024
A review of the literature shows that much academic effort has been expended studying information system usage and information technology adoption. However, these theories/models based on psychological research are not specific to the virtual reality context and may not fully capture the nature of virtual reality-based learning system (VR-BLS)…
Descriptors: Computer Simulation, Electronic Learning, Technology Uses in Education, Learning Management Systems
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