This study explored factors influencing ChatGPT adoption among higher education students in five Nordic countries (Sweden, Finland, Denmark, Norway, and Iceland) and the USA. The unified theory of acceptance and use of technology 2 (UTAUT2) framework was employed and extended to incorporate personal innovativeness. Data was collected from 586…

Previous research has extensively explored the integration of Information and Communication Technology (ICT) in education. However, much of previous research has not differentiated between the environments where ICT is used, particularly in terms of its perceived usefulness in school versus at home. This gap in understanding the contextual…

This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…

The purpose of this study was to examine the relationships among MOOC learners' personal goal achievement, instructor goal achievement, learning experiences measured with perceived learning and course satisfaction, and their continuance intention in a MOOC offered by a research university in the United States. A total of 203 MOOC learners…

This study explores the role of Artificial Intelligence Generated Content (AIGC) in undergraduates' learning and research, and its increasing significance in higher education. Against this backdrop, understanding college students' attitudes, behaviors, and intentions towards AIGC is beneficial for better guiding their learning under the support of…

Generative artificial intelligence (AI) is increasingly transforming higher education by enhancing teaching methodologies, automating administrative tasks, and supporting research initiatives. Faculty adoption of generative AI is crucial for maximizing its potential benefits; however, its acceptance remains inconsistent due to factors such as…

This study aims to examine university students' intentions to use artificial intelligence (AI) applications in their educational processes within the context of job characteristics (JC), technology characteristics (TC), task-technology fit (TTF), and self-efficacy (SE). The research was conducted with 965 students enrolled in Information…

Generative Artificial Intelligence (GAI) has received widespread attention recently, influencing teacher education in various ways. However, there is little discussion on pre-service teachers' behavioral intention towards GAI. Therefore, this study employs subjective norm, AI self-efficacy, facilitating conditions, and trust to expand the…

This study uses one-step meta-analytic structural equation modelling to delve into the technology acceptance model's (TAM) application within education, assessing perceived usefulness, ease of use, intentions to use, and actual technology use. It synthesises previous findings to validate the TAM's effectiveness and uncover the model's predictive…

This study aims to explore factors predicting the use of e-learning as a sustainable solution in Indian higher education institutions by employing a modified version of the technology acceptance model (TAM). An online questionnaire (n = 200), capturing post-graduate management students from the Mumbai Metropolitan Region, was analysed using…

Recently, the education sector has received increased interest in terms of the adoption of Internet of things (IoT) services for learning activities. However, despite this interest, empirical studies on the adoption of IoT services in the smart classroom are limited. Thus, the present study examines students' intention to use IoT services in the…

Purpose: The present research is interested in evaluating the Unified Theory of Acceptance and Use of Technology (UTAUT) model and its extra predictors to examine those factors which determine the millennials and elearning issue. The relationship between behaviour intentions (BI) and further process of adopting elearning is the result on which the…

The growing popularity of interpreting technology in the industry has raised awareness of incorporating it into interpreter education. However, it is unclear what factors may contribute to students' behavioral use and the consequent effects of using it. With the addition of three external factors (motivation, task-technology fit, and technology…

Augmented Reality (AR) is an emerging technology with strong potential to enhance the educational value of physics lab work. However, its integration in higher education remains inconsistent, often hindered by students' limited prior experience and varying levels of acceptance. This study investigates the factors influencing students' intention to…

This study contributes to the extant literature on instructional technology by investigating the relationships between the social and personal factors and behavioral intention to use virtual reality. Moreover, the current study examined the links between perceived characteristics of virtual reality and attitude and the moderating role that can be…