The use of Artificial Intelligence (AI) in education is transforming various dimensions of the education system, such as instructional practices, assessment strategies, and administrative processes. It also plays an active role in the progression of science education. This systematic review attempts to render an inherent understanding of the…

The proliferation of digital learning platforms has revolutionized the generation, accessibility, and dissemination of educational resources, fostered collaborative learning environments and producing vast amounts of interaction data. Machine learning (ML) algorithms have emerged as powerful tools for analyzing these complex datasets, uncovering…

Worldwide, the COVID-19 pandemic and the growing reliance on technology underscored the need for K-12 teachers to be digitally competent and able to teach their students 21st century digital skills. The purpose of this quantitative correlational predictive study was to examine if and to what extent perceived usefulness of technology and perceived…

Information and communication technologies have transformed education, driving it towards intelligent teaching and learning. With the rise of generative artificial intelligence (AI), represented by tools such as ChatGPT, there is also a growing body of literature on generative AI in education. In this study, we searched the Scopus, ERIC, and Web…

Research that employs theory provides a framework and structure in which complex phenomenon, can be understood. While many theories have been developed to study people's technology usage, the plurality of perspectives offered are complex to navigate due to the diverse range of problems and topics addressed and the varied theoretical foundations…

Integrating artificial intelligence (AI) with knowledge management (KM) practices presents a promising avenue for advancing sustainable learning in higher education. However, empirical research exploring this synergy remains limited, particularly in developing countries. This study aimed to investigate the impact of AI-enhanced KM practices on…

The use of educational data mining and machine learning to analyse large data sets collected by educational institutions has the potential to discover valuable insights for decision-making. One such area that has gained attention is to predict student performance by analysing large educational data sets. In the relevant literature, many studies…

This study investigated the relationship between teachers' mindsets (growth mindset and fixed mindset), teachers' digital competence, teachers' age, gender, years of teaching experience, and information and communication technology (ICT) use in teaching in elementary schools, in a city located at the Northwest region of Saudi Arabia. This study…

Digital technology is profoundly transforming various aspects of life, thus highlighting the need to enhance digital literacy on a national scale. In primary and secondary schools, artificial intelligence (AI) education plays a pivotal role in fostering digital literacy. To comprehensively investigate the variables influencing AI education in…

At present, the use of eye-tracking data in immersive Virtual Reality (iVR) learning environments is set to become a powerful tool for maximizing learning outcomes, due to the low-intrusiveness of eye-tracking technology and its integration in commercial iVR Head Mounted Displays. However, the most suitable technologies for data processing should…

Integrating generative artificial intelligence (AI) tools like ChatGPT into education has reshaped academic practices, offering students innovative ways to engage with learning tasks. This study examines the cognitive, emotional, and behavioral factors influencing undergraduate students' engagement with ChatGPT, guided by the technology acceptance…

Integration of technology in schools rests on effective teacher education programmes that help teachers create new teaching and learning methods and adopt them for classroom use. Social learning processes play a key role in this, but there is a lack of understanding of their role in technology adoption and in evidencing them in teacher education…

The present study aims to determine the relation between Technological Pedagogical Content Knowledge (TPACK) levels of teachers and their self-efficacy in integrating technology, their technology literacy and their usage objective of social networks. Structural equation modeling was utilized to create a model explaining and predicting the…

Previous research has identified various internal and external factors that predict teachers' technology adoption. Limited studies have explored how these internal and external factors interplay to determine different types of technology use. This study used the survey responses of 280 English as foreign language (EFL) teachers to examine how two…

Various studies have been done on shifting toward technology-based second language (L2) education. However, the influence of psycho-emotional factors on students' technology acceptance is overlooked. To fill this gap, the present quantitative study examined the role of students' achievement emotions and technological self-efficacy in predicting…