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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
Artur Strzelecki – Education and Information Technologies, 2025
This research explored the attitudes of higher education students toward ChatGPT, an AI tool commonly employed for academic assistance. Our aim was to investigate students' acceptance and use of ChatGPT during their academic pursuits. We targeted two distinctive groups for our study: undergraduate and postgraduate students. Our findings show that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Undergraduate Students
Matyokurehwa, Kanos; Rudhumbu, Norman; Mlambo, Chiedza P. – International Journal of Education and Development using Information and Communication Technology, 2020
The study sought to examine the intention to use smartphones technology as learning tools (mobile-learning) in universities in Botswana, with particular reference to a selected university. Preliminary investigations have shown that despite the high density of mobile phones in Botswana, very few of these devices seem to be used for learning…
Descriptors: Business Administration Education, Undergraduate Students, Telecommunications, Handheld Devices
Chang, Chi-Cheng; Liang, Chaoyun; Yan, Chi-Fang; Tseng, Ju-Shih – Asia-Pacific Education Researcher, 2013
Mobile learning, with its features of ubiquitousness and flexibility, enables users to learn in any appropriate place and at any appropriate time. This emerging way of digital learning will be the future trend. Therefore, the technology acceptance model (TAM) proposed by Davis was extended with extrinsic motivation, perceived convenience, and…
Descriptors: College Students, Student Motivation, Intention, Electronic Learning
Chatzoglou, Prodromos D.; Sarigiannidis, Lazaros; Vraimaki, Eftichia; Diamantidis, Anastasios – Computers & Education, 2009
In the last few decades, the implementation of information technology has given rise to several organizational training needs that have to be satisfied, in order to empower organizational IT performance. The users of new technologies have to be trained quickly and efficiently, and since they are usually distributed to different remote locations,…
Descriptors: Educational Needs, Employees, Structural Equation Models, Self Efficacy
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
Chang, Su-Chao; Tung, Feng-Cheng – British Journal of Educational Technology, 2008
With the development of the Internet in the era of knowledge-driven economy, e-learning is experiencing rapid growth. The online learning course websites are drawing more attention as well. This research combines the innovation diffusion theory and the technology acceptance model, and adds two research variables, perceived system quality and…
Descriptors: Distance Education, Self Efficacy, Online Courses, Educational Technology