Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…

Current educational trends leverage artificial intelligence (AI) to provide high-quality teaching and enhance students' learning competitiveness. This study aimed to evaluate the acceptance of artificial intelligence generated content (AIGC) for assisted learning and design creation among art and design students. Based on an extended technology…

In today's educational landscape, students have access to enriched learning environments through augmented and virtual reality (AR/VR) applications. Effective digital learning depends on identifying the key factors and learner attitudes that influence engagement and task performance. We focused more on preservice teachers' intentions to use AR/VR…

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…

Pre-service teachers' often suboptimal use of technology in teaching can be explained by low levels of technology acceptance. The present study aims to investigate how technology acceptance can be promoted. Based on the Technology Acceptance Model by Davis (1986), we hypothesized that encouraging pre-service teachers to constructively engage with…

This investigation aimed to ascertain latent profiles of university students predicated on fundamental factors influencing their intentions to acquire knowledge in artificial intelligence (AI). The study scrutinized four dimensions: supportive social norms, facilitating conditions, selfefficacy in AI learning, and perceived utility of AI. Through…

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…

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…

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…

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…

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…

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…

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,…

Mobile-learning (M-learning) apps have grown in popularity and demand in recent years and have become a typical occurrence in modern educational systems, particularly with the deployment of M-learning initiatives. The key objective of this study was to reveal the key factors that impact university students' behavioural intention and actual use of…

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…