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Linlin Hu; Hao Wang; Yunfei Xin – Education and Information Technologies, 2025
Although Generative Artificial Intelligence (GAI) has demonstrated significant potential in education, there is a lack of research on pre-service teachers' behavioral intentions toward GAI. This study is based on the UTAUT2 model and, for the first time, introduces perceived risk as a key variable to systematically investigate the factors…
Descriptors: Foreign Countries, Preservice Teachers, Computer Attitudes, Technology Integration
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Wang, Kai – International Review of Research in Open and Distributed Learning, 2023
This study incorporated the technology acceptance model (TAM) and theory of planned behavior (TPB) to interpret students' perception of MOOCs. This study was based on a survey questionnaire; all 525 respondents were undergraduates in China. A five-point Likert scale was used to collect data in order to measure relationships among the constructs of…
Descriptors: Foreign Countries, Undergraduate Students, MOOCs, Intention
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Jie Xu; Yan Li; Rustam Shadiev; Cuixin Li – Education and Information Technologies, 2025
Generative Artificial Intelligence (AI) is steadily gaining prominence in higher education and brings about huge impact on college students' daily life. However, limited studies paid attention to college students' use behavior of generative AI and its influencing factors. The study aimed to explore this issue by adopting an extended Unified Theory…
Descriptors: College Students, Technology Uses in Education, Artificial Intelligence, Intention
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XingZhong Cao; JianWu He; GuoMin Chen – SAGE Open, 2025
This research investigates the factors and configurations influencing the intention of primary and secondary school students to use online education. Employing the Technology Acceptance Model (TAM), the research framework incorporates considerations of external environmental factors, extending the model. Methodologically, Structural Equation…
Descriptors: Elementary School Students, Secondary School Students, Distance Education, Electronic Learning
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Zhang, Xiaotian; Wang, Yi; Leung, Shing on – Technology, Pedagogy and Education, 2023
Based on the Technology Acceptance Model (TAM) and supplemented by social cognitive theory and gender schema theory, this study investigated the interactive mechanism of TAM by incorporating self-efficacy and gender as two factors in students' usage of sports bracelets. Data were collected from 682 Chinese college freshmen. Results indicated that…
Descriptors: Foreign Countries, College Freshmen, Physical Education, Gender Differences
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Xuemei Bai; Rifa Guo; Xiaoqing Gu – Education and Information Technologies, 2024
A growing number of studies are focusing on the effect of teachers' knowledge on their behavioral intention to use technology in teaching. This study aims to explore the influence of teachers' technological pedagogical content knowledge (TPACK) on their behavioral intention to use technology by including their technology self-efficacy and attitude…
Descriptors: Technology Integration, Educational Technology, Pedagogical Content Knowledge, Technological Literacy
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Feng Zhang; Gege Li; Heng Luo – Educational Technology & Society, 2025
With the development of virtual reality technology, 3D multi-user virtual environments (MUVEs) have attracted increasing research attention and are thought to bring many learning benefits in higher education. However, the widespread and sustained application of MUVEs in higher education lies in learners' intention to use them, but the mechanism…
Descriptors: Student Attitudes, Intention, College Students, Educational Technology
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Tao, Da; Fu, Pei; Wang, Yunhui; Zhang, Tingru; Qu, Xingda – Interactive Learning Environments, 2022
In spite of the proliferation of Massive Open Online Courses (MOOCs) in higher education, factors influencing user acceptance of MOOCs are not well understood. This study is intended to investigate key characteristics of user acceptance from interface design (i.e. usability), content quality (i.e. perceived quality), and emotional arousal (i.e.…
Descriptors: MOOCs, Computer Attitudes, Educational Technology, Technology Uses in Education
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Huang, Fang; Teo, Timothy – Educational Technology Research and Development, 2020
This study aimed to investigate the influences of organisational culture and teachers' perception of the importance of policy on teachers' technology acceptance in China. A total of 502 teachers from 30 Chinese universities filled in the questionnaire designed for the cross-sectional study, which measured teachers' perceptions of the…
Descriptors: Foreign Countries, School Culture, School Policy, Teacher Attitudes
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To, W. M.; Tang, Margaret N. F. – Educational Studies, 2019
This study explored the antecedents of students' intention to participate in computer-based course evaluation. The study proposed an extended Technology Acceptance Model (TAM) that integrated subjective norm and perceived relevance into TAM. Based on the responses from 149 business school students in Macao, the study identified the direct and…
Descriptors: Foreign Countries, Computer Uses in Education, Course Evaluation, Computer Attitudes
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Li, Rui; Meng, Zhaokun; Tian, Mi; Zhang, Zhiyi; Ni, Chuanbin; Xiao, Wei – Computer Assisted Language Learning, 2019
Automated Writing Evaluation (AWE) has been widely applied in computer-assisted language learning (CALL) in China. However, little is known about factors that influence learners' intention to use AWE. To this end, by adding two external factors (i.e. computer self-efficacy and computer anxiety) to the technology acceptance model (TAM), we surveyed…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Automation
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Yu, Zhonggen – Journal of Educational Computing Research, 2020
The extended constructs of technology acceptance model (TAM) have rarely been linked to psychological influence factors. This study complements for the missing link in literature through structural equation modeling and a nonparametric Mann-Whitney U test based on the data obtained from a large-scale questionnaire survey. It is concluded that (a)…
Descriptors: Beliefs, Adoption (Ideas), Self Esteem, Gender Differences
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Bao, Yukun; Xiong, Tao; Hu, Zhongyi; Kibelloh, Mboni – Journal of Educational Computing Research, 2013
Reasons for contradictory findings regarding the gender moderate effect on computer self-efficacy in the adoption of e-learning/mobile learning are limited. Recognizing the multilevel nature of the computer self-efficacy (CSE), this study attempts to explore gender differences in the adoption of mobile learning, by extending the Technology…
Descriptors: Gender Differences, Self Efficacy, Computer Literacy, Telecommunications
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Wang, Lin; Rau, Pei-Luen Patrick; Salvendy, Gavriel – Educational Gerontology, 2011
This study investigated variables contributing to older adults' information technology acceptance through a survey, which was used to find factors explaining and predicting older adults' information technology acceptance behaviors. Four factors, including needs satisfaction, perceived usability, support availability, and public acceptance, were…
Descriptors: Information Technology, Factor Analysis, Older Adults, Predictor Variables
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Sang, Guoyuan; Valcke, Martin; van Braak, Johan; Tondeur, Jo – Computers & Education, 2010
Student teachers should be prepared to integrate information and communication technology (ICT) into their future teaching and learning practices. Despite the increased availability and support for ICT integration, relatively few teachers intend to integrate ICT into their teaching activities (e.g., Ertmer, 2005). The available research has thus…
Descriptors: Constructivism (Learning), Preservice Teachers, Self Efficacy, Path Analysis