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Melissa Ng Lee Yen Abdullah; Tan Saw Fen; Mohd Ali Samsudin; Sim Tze Ying; Fung Chorng Yuan – SAGE Open, 2024
Online learning is on the rise, and it is becoming an important mode of learning in higher education. However, there are limited models that explain the link between learners' characteristics, learning processes, and outcomes in an online learning environment. This study aims to examine the influence of online self-regulation on the experiences…
Descriptors: Undergraduate Students, Electronic Learning, Outcomes of Education, Higher Education
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Liu, Dongping; Zhang, Hai – SAGE Open, 2021
Teacher online learning is an important way to solve teacher shortage and improve teachers' professional development. However, previous research works that focused on teacher-as-learner satisfaction with online learning were not enough. The aim of this study is to investigate factors that influence teacher satisfaction with online learning. The…
Descriptors: Foreign Countries, Middle School Teachers, Teacher Attitudes, Satisfaction
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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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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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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