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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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Min Guo – SAGE Open, 2024
In the context of the digital era, e-learning has become an innovative and indispensable component of the educational sector. With the continuous advancement of technology and the widespread adoption of the internet, e-learning has demonstrated its key role in maintaining educational continuity and supporting remote teaching. However, despite the…
Descriptors: Electronic Learning, Intention, Educational Technology, College Students
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Mensah, Isaac Kofi; Zeng, Guohua; Luo, Chuanyong; Lu, Mengqiu; Xiao, Zhi-Wu – SAGE Open, 2022
This research paper investigated the adoption behavior of college students toward the e-learning system amidst the current COVID-19. The model was developed and validated based on the Technology Acceptance Model (TAM) and the partial least squares-structural equation modeling (PLS-SEM) was used to analyze the data. The data was generated from 316…
Descriptors: Electronic Learning, Intention, College Students, COVID-19
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Rosa Estriegana; Jose-Amelio Medina-Merodio; Rafael Robina-Ramírez; Roberto Barchino; Carmen De-Pablos-Heredero – SAGE Open, 2023
The COVID-19 pandemic has led to unprecedented shifts in higher education worldwide. These sudden educational changes have the potential to accelerate the acceptance of online learning, or, conversely, to increase its rejection. The purpose of this experimental study is to examine students' acceptance of and intentions toward the continued use of…
Descriptors: College Students, In Person Learning, Electronic Learning, Student Attitudes
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Li Li – SAGE Open, 2024
Grounded in the expectation-confirmation theory and the D&M Information Success Model, this study investigates the factors influencing college students' continuance intention to use mobile learning from three perspectives: educational institutions, instructors, and learners. About 421 college students were randomly selected to participate in a…
Descriptors: Intention, Undergraduate Students, Influences, Electronic Learning
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Shen Yan; Liow Guat Eng; Lim Chui Seong – SAGE Open, 2024
Learning motivation is essential to online learning success. This study recognizes two aspects of learners' motivation for E-learning and proposed technology acceptance model as cognitive process and stimulus-organism-response as affective process to explain the undergraduates' continuous intention to use E-learning system based on…
Descriptors: Influences, Intention, Electronic Learning, Educational Technology
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Ping Deng; Bing Chen; Wei Zeng; Xinhua Fang – SAGE Open, 2024
E-learning platform (ELP) provides economic and efficient channels to share and learn knowledge online without time and location restrictions. Earlier studies have identified determinants that impact students' intention to use new technologies in different learning contexts, yet few have tried to investigate the effect of students' satisfaction of…
Descriptors: Intention, Electronic Learning, Psychological Needs, Educational Technology
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Jiang, Haozhe; Islam, A. Y. M. Atiquil; Gu, Xiaoqing; Spector, Jonathan Michael; Chen, Suting – SAGE Open, 2022
The problem motivating this study is the fact that almost 19.70 million university students in China have been required to engage in e-learning under the government's initiative of "Classes are Suspended, yet Learning is still Ongoing" during the COVID-19 epidemic, coupled with varied responses, uneven adoption of e-learning platforms…
Descriptors: Foreign Countries, Educational Technology, Electronic Learning, School Closing
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Gurban, Masouda A.; Almogren, Abeer S. – SAGE Open, 2022
The purpose of this study was to look at factors that might influence whether or not academics will use e-learning during the Corona Virus Disease 2019 (COVID-19) pandemic. The goal of this paper is to look into the effect of perceived interaction, educational materials, playfulness, perceived enjoyment, self-efficacy, perceived usefulness, and…
Descriptors: Educational Technology, Electronic Learning, COVID-19, Pandemics
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Nandlall, Nadia; Hawke, Lisa D.; Hayes, Em; Darnay, Karleigh; Daley, Mardi; Relihan, Jacqueline; Henderson, Joanna – SAGE Open, 2022
The objective of this paper was to examine the school-related experiences of youth during the COVID-19 pandemic. Participants represented both clinical and community youth aged 14 to 28 who were sampled as part of a larger study. Feedback from youth attending school during the pandemic was qualitatively examined and youth who planned to attend…
Descriptors: Distance Education, COVID-19, Pandemics, Adolescents
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Li, Aixia; Islam, A. Y. M. Atiquil; Gu, Xiaoqing – SAGE Open, 2021
This study extended the Expectancy Confirmation model (ECM) to examine the factors that influence online learning stickiness. The structural equation modeling was used to reveal the relationships among the factors through a survey of 395 online consumers. The findings indicate that learning stickiness was significantly impacted by switching cost…
Descriptors: Undergraduate Students, Learner Engagement, Electronic Learning, Online Courses
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Zheng, Wei; Ma, Yu-Yu; Lin, Hung-Lung – SAGE Open, 2021
The coronavirus virus (COVID-19) epidemic has swept the world, with the World Health Organization defining it as a pandemic on March 11. This in turn has affected the approaches and methods used in education throughout the world. According to United Nations report, by the time of mid-April 2020, 94% of learners in more than 200 countries around…
Descriptors: Blended Learning, Electronic Learning, Online Courses, Distance Education
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Zhou, Sijing; Zhou, Yu; Zhu, Huiling – SAGE Open, 2021
A growing concern for online course learning is to what extent learners are concentrated and self-regulated when they are isolated from their classmates and instructors. To address this issue, this study collected both quantitative and qualitative data from a sample of 580 Chinese university learners from varied majors, who were taking online…
Descriptors: Predictor Variables, Undergraduate Students, Intention, Adoption (Ideas)