Publication Date
In 2025 | 1 |
Since 2024 | 5 |
Since 2021 (last 5 years) | 9 |
Since 2016 (last 10 years) | 9 |
Since 2006 (last 20 years) | 9 |
Descriptor
Source
SAGE Open | 9 |
Author
Bing Chen | 1 |
Ge Zhang | 1 |
Gu, Xiaoqing | 1 |
Hairuzila Bt Idrus | 1 |
Hiep-Hung Pham | 1 |
Huyen Khanh Pham | 1 |
Islam, A. Y. M. Atiquil | 1 |
Li, Aixia | 1 |
Li, Rui | 1 |
Linh Thi My Nguyen | 1 |
Muhammad Ridhuan Tony Lim… | 1 |
More ▼ |
Publication Type
Journal Articles | 9 |
Reports - Research | 9 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 9 |
Postsecondary Education | 9 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
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
Xinyi Wang; Xiaofan Yu – SAGE Open, 2024
Although learning with mobile educational applications (apps) has become popular in higher education, the factors accounting for students' voluntary continuous usage have not yet been investigated fully. This study aims to understand art students' continuance intention by combining the "expectation-confirmation model" ("ECM")…
Descriptors: Art Education, Student Attitudes, Stress Variables, Value Judgment
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
Si Xu; Pengfei Chen; Ge Zhang – SAGE Open, 2024
Artificial Intelligence (AI) tools are having a significant impact on the field of education, particularly when used by educators. This study aims to explore the acceptance of AI tools among university-level educators. Researchers adapted the UTAUT2 (Unified Theory of Acceptance and Use of Technology) model to the Chinese educational context and…
Descriptors: Foreign Countries, College Faculty, Teacher Attitudes, Intention
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
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
Li, Rui – SAGE Open, 2021
Despite the growing attention being paid to the use of Automated Writing Evaluation (AWE) in China, it is still uncertain what factors lie behind EFL (English-as-a-foreign-language) learners' continuance intention to use it. To this end, by adding two external factors (i.e., computer self-efficacy and perceived ease of use) to the expectation…
Descriptors: Intention, Persistence, Automation, Computer Assisted Instruction
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)