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Jieun Kim; Joonho Moon – SAGE Open, 2025
This study aims to validate the applicability of the technology acceptance model (TAM) in the context of using Chat GPT as an educational tool. TAM serves as the theoretical foundation for this research. To investigate the antecedents of technology acceptance, this study focused on three key attributes: information credibility, enjoyment, and…
Descriptors: Usability, Technology Uses in Education, Artificial Intelligence, Credibility
Chen Han; Jianghua Lei – SAGE Open, 2024
Recently, promoting inclusive education has become the central initiative for governments worldwide. The Universal Design for Learning (UDL) framework has been developed to address students' differences and meet their learning needs. Although some literature has examined the effectiveness of the UDL framework in teaching practices, little research…
Descriptors: Usability, Learning Processes, Teacher Attitudes, Student Attitudes
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
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
Yipeng Zhao; Yan Li; Yuyao Xiao; Haodong Chang; Bo Liu – SAGE Open, 2024
The swift incorporation of artificial intelligence (AI) into higher education has significantly propelled the digital transformation of education. This advancement is crucial for educators aiming to augment teaching quality through AI technologies, such as ChatGPT. However, the acceptance of ChatGPT among college students remains underexplored.…
Descriptors: Influences, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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
Celeste Combrinck – SAGE Open, 2024
We have less time and focus than ever before, while the demand for attention is increasing. Therefore, it is no surprise that when answering questionnaires, we often choose to strongly agree or be neutral, producing problematic and unusable data. The current study investigated forced-choice (ipsative) format compared to the same questions on a…
Descriptors: Likert Scales, Test Format, Surveys, Design
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
Tyrone B. Pretorius; P. Paul Heppner; Anita Padmanabhanunni; Serena Ann Isaacs – SAGE Open, 2023
In previous studies, problem solving appraisal has been identified as playing a key role in promoting positive psychological well-being. The Problem Solving Inventory is the most widely used measure of problem solving appraisal and consists of 32 items. The length of the instrument, however, may limit its applicability to large-scale surveys…
Descriptors: Problem Solving, Measures (Individuals), Test Construction, Item Response Theory
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
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
Zhou, Liqiu; Xue, Sijia; Li, Ruiqian – SAGE Open, 2022
While online education has been increasingly adopted in different educational systems across the world, it is still a recent phenomenon in developing countries such as China. Various factors could affect learners' adoption of technology, including their online learning. In this study, we took the Technology Acceptance Model as the theoretical…
Descriptors: Online Courses, Integrated Learning Systems, Technology Integration, Intention
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
Yuan, Deli; Rahman, Muhammad Khalilur; Issa Gazi, Md. Abu; Rahaman, Md. Atikur; Hossain, Mohammad Mainul; Akter, Shaharin – SAGE Open, 2021
The study has aimed to investigate the factors affecting university students' attitude toward intention to use social media for learning. This study embraced a cross-sectional approach and gathered quantitative data via a Google form survey, which was collected by using social media platforms, from a total of 720 respondents. The hypotheses were…
Descriptors: Users (Information), Graduate Students, Undergraduate Students, Student Attitudes
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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