Technological advancements have led to the emergence of the Fourth Industrial Revolution (4IR). Students' readiness to use 4IR technologies is thus essential for the development of knowledgeable, competent, and skilled graduates. However, ensuring students' readiness to use 4IR technologies is quite challenging, leading to a need to understand the…

As the number and complexity of instructional tools have increased, universities have rapidly adapted to ensure their students have the necessary tools and resources for academic success (Rafi et al., 2014; Rafi et al., 2020). One of these adaptations has been the creation of virtual learning platforms using Virtual Reality (VR) technology. This…

As rehabilitation technologies rapidly develop, the lack of evidence-based training remains a barrier to technology adoption. Continuing education (CE) may provide training opportunities for new technologies, specifically 3D printing. Current models of CE course design rely on traditional, pedagogical methods, including didactic delivery, as…

The public release of ChatGPT in November 2022 brought excitement and concerns regarding students' use of language models in higher education. However, little research has empirically investigated students' intention to adopt ChatGPT. This study developed a theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT)…

Digital confidence has been increasingly cited as key for staff and student development in tertiary education, often alongside concepts of digital competence or digital capabilities. In the past three years it has formed part of the discussion in our sector (higher education) around adapting to this time of rapid change, especially during the…

With children's digital technology usage surging in post-pandemic Canada, it is imperative to understand children's digital literacy and multimodal practices. This study investigated potential predictors of children's digital literacy and multimodal practices at home, and the latent profiles of digital families. A sample of 413 parents of children…

The formation of the digital divide is influenced by both objective factors, such as insufficient digital resources, and subjective factors, such as technology acceptance. This study employs a mixed-methods approach, utilizing the KANO model to analyze learners' demand attributes and the UTAUT model to examine subjective factors influencing…

Purpose: This study aims to examine the integration of AI in student engagement and its benefits in the learning environment. Design/methodology/approach: The study employed a quantitative research method, analyzing data from a sample of 720 students. The econometric data analysis used the structural equation modeling (SEM) technique. Findings:…

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…

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…

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…

This study aims to explore the factors influencing Norwegian high school teachers' instructional resistance to artificial intelligence (AI) in terms of age, instructional AI efficacy, and collective AI beliefs among school staff. Grounded in a robust theoretical framework that integrates technology-use models, social cognitive theory, and…

The paper analyses possible reasons for the gap between teachers' actions and intentions, reported by research on practices with the use of ICT. The theoretical approach is informed by teachers' beliefs, which are discriminated in two categories: pedagogical and epistemic. A qualitative fieldwork research undertaken in eight public primary schools…

At a time when traditional fieldwork is coming under pressure, be it from shrinking budgets, reducing carbon footprints, increased concerns for personal safety or the desire to make field skills accessible to all, how do we ensure that the key skills of observation, data collection and landscape analysis can still be developed in our students?…