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Showing 1 to 15 of 173 results Save | Export
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Yuting Mu; Yuqi Gao; Yanmin Zhao – International Journal on E-Learning, 2025
With the increasing use of mobile applications for educational purposes among university students, enhancing the efficiency of mobile instruction and learning is a key concern in higher education. It is, therefore, necessary to explore students' mobile learning habits and to identify the factors that influence their mobile learning to further…
Descriptors: College Students, Student Attitudes, Handheld Devices, Computer Oriented Programs
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Yun-Qi Bai; Jia-Wen Jiang – Interactive Learning Environments, 2024
The research on the influencing factors of the use of digital learning resources is the focus of this field. Although a large number of empirical studies involve the discussion of influencing factors, the conclusions of different studies are also different. Through meta-analysis, taking 146 effect values and 9996 independent research objects in 19…
Descriptors: Educational Technology, Educational Resources, Influences, Intention
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Sultan Hammad Alshammari; Saleh Alkhabra – International Journal of Technology in Education, 2025
The widespread use of e-learning systems in higher education highlights the necessity to understand the determinants of students' intention to utilize e-learning systems. This study builds upon the Expectation--Confirmation Model (ECM) by incorporating self-regulated learning (SRL) as a pivotal construct to underpin students' intention to utilize…
Descriptors: Self Management, Intention, Electronic Learning, Educational Technology
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Negm, Eiman – Higher Education, Skills and Work-based Learning, 2023
Purpose: This study examines higher education students' technology readiness level in explaining adoption intention toward educational Internet of Things (IoT) needed for online learning. Design/methodology/approach: Quantitative deductive research approach is used to check the theory of technology readiness index toward IoT in education. An…
Descriptors: College Students, Technological Literacy, Readiness, Internet
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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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Pengfei Yang; Shaowen Qian – SAGE Open, 2025
E-learning has revolutionized the educational landscape, changing how knowledge is imparted to students and enhancing the learning process. Despite the growing popularity of e-learning worldwide, a lingering question remains regarding the behavioral intentions of Physical Education students toward its use. This study endeavors to address this…
Descriptors: Foreign Countries, Physical Education, Intention, Electronic Learning
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Haripin; Sony Warsono – International Journal of Information and Learning Technology, 2024
Purpose: The purpose of this study is to examine the acceptance factors of e-learning among students in high schools. In this study, researchers used a combination of system acceptance models, namely UTAUT2 and TOE. The UTAUT2 framework is used to explore technology acceptance from the context of individual behavior, while TOE is used to…
Descriptors: Electronic Learning, High School Students, Learning Management Systems, Educational Technology
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Anshita Chelawat; Richal Tuscano; Roshani Prasad; Seema Sant – International Journal of Learning Technology, 2025
This study aims to explore factors predicting the use of e-learning as a sustainable solution in Indian higher education institutions by employing a modified version of the technology acceptance model (TAM). An online questionnaire (n = 200), capturing post-graduate management students from the Mumbai Metropolitan Region, was analysed using…
Descriptors: Educational Technology, Electronic Learning, Graduate Students, Value Judgment
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Rongbin Yang; Santoso Wibowo; Sameera Mubarak; Mubarak Rahamathulla – Journal of Marketing for Higher Education, 2024
Studies have been conducted on university students' acceptance of e-learning systems during COVID-19. However, less attention has been paid to students' use of e-learning post-pandemic. This research provides a more comprehensive framework to investigate the effects of e-learning students' various quality perceptions on attitude, learning…
Descriptors: Student Attitudes, Learner Engagement, Electronic Learning, Educational Technology
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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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Sweety Shah; Neha Mehta; Anitha Sunil – E-Learning and Digital Media, 2025
The use of information technologies has increased significantly in developing countries like India. Many educational institutes have adopted information and communication technology for academic and administration purposes. While technological devices on college campuses are ubiquitous, students' readiness for E-learning in India has yet to be…
Descriptors: Educational Technology, Electronic Learning, Higher Education, Readiness
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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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Liu, Xindi; Yu, Zhonggen – International Journal of Adult Education and Technology, 2023
Bilibili, a popular video-sharing and danmaku-themed platform, has played a crucial role in online learning. However, limited research has been conducted to examine the factors that influence its users' continuance intention. Thus, this study proposes an integrated model of technology acceptance model, expectation-confirmation model, and…
Descriptors: Video Technology, Technology Uses in Education, Intention, Electronic Learning
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Chih-Hung Wu; A.-How You; Tse-Ping Dong; Chih-Hsing Liu – Asia-Pacific Education Researcher, 2024
The utilization of online platforms for the preservation of the culture of Chinese calligraphy has become increasingly common in the digital era. We studied learners' intention to use online calligraphy teaching websites, adopting a mixed research method including both quantitative and qualitative analyses to examine the factors that engage online…
Descriptors: Influences, Intention, Learner Engagement, Electronic Learning
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Yassine Adouani; Mohamed Ali Khenissi – Education and Information Technologies, 2024
In recent years, online educational platforms have become an increasingly popular tool for delivering online learning experiences. One such platform is the Tunisian educational platform provided by the Virtual University of Tunis. The acceptance and adoption of these platforms by students are crucial for their successful integration into the…
Descriptors: Computer Science Education, Electronic Learning, Public Colleges, Intention
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