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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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Zhuoyao Cui; Haochen Yang – SAGE Open, 2023
This study investigates the influence of game elements on active learning intentions within digital learning platforms. Drawing from a situational perspective, we developed a model and validated it using data from 492 respondents collected via questionnaires. Our findings suggest that while social elements enhance active learning intentions, both…
Descriptors: Educational Technology, Technology Uses in Education, Gamification, Active 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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Renjie Song; Yaru Zheng – SAGE Open, 2024
Learning Management Systems (LMS) are crucial in modern educational technology, enhancing education through personalized support, efficient resource management, and data-driven decision-making. LMS holds a pivotal position in contemporary higher education. This research explores undergraduate students' continued learning intentions, grounded in…
Descriptors: Intention, Learning Management Systems, Undergraduate Students, Educational Technology
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Yinhua Hao; Xiangmin Zeng; Megat Al Imran Yasin; Ng Boon Sim – SAGE Open, 2024
To explore the influencing factors of college students' learning intention to online teaching videos during the pandemic, this study considered 696 college students from Huangshan University in China. The T-test and ANOVA were utilized to analyze gender, grade, and discipline on college students' learning intention, and the regression analysis was…
Descriptors: Foreign Countries, College Students, Intention, Video Technology
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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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Terblanche, Nicky; Kidd, Martin – SAGE Open, 2022
Chatbots are increasingly applied in various contexts including helping professions, such as organizational and life coaching. Coaching facilitates individual wellness, behavioral change, and goal attainment in a reflective, non-directive manner, and is considered one of the fastest-growing professions. The use of knowledge imparting service…
Descriptors: Educational Technology, Computer Software, Coaching (Performance), Age Differences
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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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Nguyen Thi Thao Ho; Muhammad Ridhuan Tony Lim Abdullah; Hairuzila Bt Idrus; Subarna Sivapalan; Hiep-Hung Pham; Viet-Hung Dinh; Huyen Khanh Pham; Linh Thi My Nguyen – SAGE Open, 2023
This triangulation mixed methods study employed the Technology Acceptance Model (TAM) to investigate the factors affecting continuance intention toward Coursera MOOCs blended learning (CMBL) with undergraduate students at a Vietnamese private higher education institution (HEI). IBM AMOS version 24 was employed, with which Confirmatory Factor…
Descriptors: MOOCs, Educational Technology, Blended Learning, Higher Education
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Wan, Liyong; Xie, Shoumei; Shu, Ai – SAGE Open, 2020
This study tries to propose a unified model integrating the unified theory of acceptance and use of technology (UTAUT) model, task-technology fit (TTF) model, and user satisfaction to investigate the determinants that affect university students' continued intention of using massive open online courses (MOOCs). Based on the data of a survey on 464…
Descriptors: Foreign Countries, College Students, Student Attitudes, Large Group Instruction
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Abramson, Jonathan; Dawson, Maurice; Stevens, Jeffery – SAGE Open, 2015
The purpose of this empirical study was to test specific factors of behavioral intention to use m-learning in a community college setting using a modified technology acceptance model and antecedent factors suggested by the researcher's review of the literature. In addition, the study's purpose was to expand understanding of behavioral intention to…
Descriptors: Educational Technology, Technology Uses in Education, Student Attitudes, Telecommunications