This study examined the effects of a technology-enhanced intervention on the self-regulation of 262 eighth-grade students, employing information and communication technology (ICT) and web-based self-assessment tools set against science learning. The data were analyzed using Bayesian structural equation modeling to unravel the intricate…

Virtual reality, as an excellent supportive instructional technology, has gained increasing attention from educators and professionals, where desktop-based virtual reality (DVR) is broadly adopted due to its affordability and accessibility. However, when evaluating students' learning experiences such as flow experiences in DVR environments, most…

Augmented Reality (AR) is a new-generation technology that shows video, picture, and animated 3 D objects over real-life scenes. Despite AR's prevalence around the world, language teacher education programs are not prompt in the integration of digital educational tools. The present study explored the factors that predict pre-service English…

The acceptance of different technologies in different classroom settings has been addressed in the current study. Integrating alignment theory with the Technology Acceptance Model (TAM), this study investigates the predictive differences between the use and adoption of four technologies. The technologies were used in Islamic study classrooms for…

The influence of Artificial Intelligence on higher education is increasing. As important drivers for student retention and learning success, generative AI-tools like translators, paraphrasers and most lately chatbots can support students in their learning processes. The perceptions and expectations of first-years students related to AI-tools have…

Social network analysis (SNA) examines the relationships that an individual speaker creates and maintains with others in order to explain and predict language behavior. Over the past 20 years, SNA has been used by a growing number of researchers to better understand the language learner and the language learning process, especially in the context…

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…

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…

There is conflict in previous research about the prospects and the consequences of Facebook raising eye brows whether to use Facebook in a pedagogical design. This paper analyzed the educational motives and the perceived academic consequences as the predictors of Facebook use, besides explaining the interaction effects of time patterns (daily and…

This study investigates the effects of a technology methods course containing a unique collaborative design experience on prospective elementary and secondary mathematics teachers' technological beliefs, computer algebra system (CAS) beliefs, and technological pedagogical content knowledge (TPACK). Overall gain scores on all three instruments were…

Immersive learning plays a crucial role in effective second language (L2) acquisition, but many learners face limited opportunities to interact with native speakers. While existing research highlights the importance of immersion in L2 learning, there is still a gap in understanding how Generative AI (GenAI) can provide greater access to such…

Interest in understanding what constitutes effective instruction online continues to grow as more universities adopt mediated formats for teaching. However, engaging students in productive, content-related conversation in online courses remains challenging. Several variables may influence student willingness to talk in online classes--procedural…

This study aimed at probing Egyptian and Saudi English as a Foreign Language (EFL) majors' perceptions of the impact of AI technology on enhancing linguistic competence and predicting the level of linguistic competence development due to the utilisation of AI. The descriptive survey method was used to accomplish the purpose of the study. A 27-item…

Purpose: The study examines a mediated mechanism for enhancing students' engagement i.e. peer, intellectual and academic engagement within a higher education setup via the interaction of hope and mindfulness. Design/methodology/approach: Data were conveniently collected using self-reported questionnaires from a sample of 542 students. PLSc-SEM was…

This research delves into the multifaceted landscape of various factors that influence the adoption of Generation-Artificial Intelligence (Gen-AI) in Higher Education. By employing a comprehensive framework that includes perceived risk, perceived ease of use, usefulness, Technological Pedagogical Content Knowledge (TPACK), and trust, the study…