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Mussa Saidi Abubakari; Gamal Abdul Nasir Zakaria; Juraidah Musa – Cogent Education, 2024
Various factors, including technical, organisational, cultural, and individual, can influence how people adopt digital technologies (DT). However, different contexts have produced similar yet distinct results when researchers integrated these various factors into the technology acceptance model (TAM). Two critical factors in the Islamic…
Descriptors: Foreign Countries, Higher Education, Islam, Religious Education
Anna Korchak; Ghadah Al Murshidi; Aleksandra Getman; Noor Raouf; Marwa Arshe; Nawal Al Meheiri; Galina Shulgina; Jamie Costley – Innovations in Education and Teaching International, 2025
This study explores the role of social influence in the adoption strategies of generative artificial intelligence (GenAI) among graduate and undergraduate students. Using the Unified Theory of the Acceptance and Use of Technology (UTAUT) and its key behaviour intention determinant, social influence, the relationship between GenAI popularity among…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Artificial Intelligence
Fairuz Anjum Binte Habib – Education and Information Technologies, 2025
The incorporation of artificial intelligence (AI) into education is becoming more important over time, although faculty viewpoints on this integration are not well recognized. To analyze educators' attitudes towards AI tools in Bangladesh, this research built a modified model that included components from the technology acceptance model (TAM),…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Technology Uses in Education
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
Daniel Makini Getuno; Ezra Kiprono Maritim; Fred Nyabuti Keraro – International Journal of Education and Development using Information and Communication Technology, 2025
This study advances an e-learning adoption model by exploring the link between Performance Expectancy (PE) and Behavioural Intention (BI) to adopt e-learning among undergraduate students in Kenya's public universities. Using the Unified Theory of Acceptance and Use of Technology (UTAUT), data were collected from a sample of 388 respondents through…
Descriptors: Foreign Countries, Electronic Learning, Intention, Expectation
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
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
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
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
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
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
Senad Becirovic; Mersad Dervic; Boris Mattoš – SAGE Open, 2025
This research seeks to investigate the variables that might affect university-level students' internet habits, their e-learning self-efficacy and academic achievement in a technology-enhanced teaching and learning environment. To attain the aforementioned objective the Information System Success (ISS) and Technology Acceptance Model (TAM) were…
Descriptors: College Students, Behavior Patterns, Internet, Self Efficacy
Nur Faizin; Muhammad Alfan; Abdul Basid; Mochammad Rizal Ramadhan; Siti Aisyah Panatik; Akhmad Nurul Kawakip – Discover Education, 2025
The emergence of artificial intelligence (AI) in education and religion in today's world has presented various challenges, such as plagiarisms, the credibility of AI and, its acceptance by students. This study uses an extended Technology Acceptance Model (TAM) framework to analyse Muslim students' perceptions towards the use of artificial…
Descriptors: Foreign Countries, Muslims, College Students, Student Attitudes
Sajuddin Saifi; Shaista Tanveer; Mohd Arwab; Dori Lal; Nabila Mirza – Education and Information Technologies, 2025
The current study is an attempt to bring to light the influence of Open AI adoption among users regarding the Indian Higher Education system by incorporating the TCT and TTF models. A questionnaire was designed to collect the data from 571 participants associated with higher education in India. The developed model with Perceived usefulness,…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
Bahçekapili, Ekrem – Research in Learning Technology, 2023
Technology acceptance studies are interesting because they are practical and theoretically helpful in explaining the adoption and intention to use a particular technology. There is a large amount of research on e-learning and other technologies in the literature, but there is limited evidence to explain why secondary school students' intention to…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Technology Uses in Education

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