The research investigated the influences of international students' perceived online learning environments, self-efficacy, and online interaction on their online learning achievement, as measured by these students' self-reported development of "generic skills," "research capacities," and "Chinese proficiency and global…

Teacher educators' distinct and dual task of educating future teachers includes using digital tools to support students' ongoing learning while exemplifying appropriate teaching strategies where the use of digital tools, such as response systems (RSs), are commonly occurring. RSs have been used in higher education for a long time, and many studies…

The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…

During the COVID-19 pandemic, remote teaching was required to ensure that educators could continue teaching and that students could still attend classes. However, since the necessity for remote teaching occurred, many teachers were not used to teaching virtually while ensuring that their students were given equal opportunities and environments to…

The future of university learning in Sub-Saharan Africa has become increasingly digitally transformed by both e-Learning, and learning analytics, post-COVID-19 pandemic. Learning analytics intervention is critical for effective support of socially-shared regulated learning skills, which are crucial for twenty-first-century e-Learners.…

This study investigates 14 digitally enhanced learning methods, shedding light on students with special educational needs (SEN) in inclusive digital learning environments. We seek to fill the gap in the literature by specifically investigating methods suitable for students with SEN. A survey among experts has been carried out to assess learning…

Learning resources are quite important for online learning while resource provision based on algorithms could not address learners' ubiquitous needs well. Moreover, the structure and content of resources are pre-defined which makes the "Structure" and "Content" coupled closely and could not easily adjust when learners' needs…

Although co-creation of artefacts is a common practice in virtual exchange (VE), there are still few studies that explore the connection between collaboration on multimodal texts and student teachers' development of intercultural and pedagogical awareness. Based on a trinational VE, coincidentally developed during the outbreak of the pandemic in…

The aim of this study is to examine the variables that influence the learners' intention of using online learning platforms and usage behavior continuity to evaluate relationships between variables with a model proposal and to determine the predictive power of the model. Accordingly, a sustained technology acceptance model (STAM) was developed to…

The global COVID-19 pandemic has led to significant challenges in Turkey, as in many other countries, in the transition from face-to-face to online education at all levels of education. This shift has brought forth numerous obstacles, particularly for d/Deaf and hard-of-hearing (d/Dhh) university students. Hence, this research aims to identify the…

This article presents an equity-informed systematic review of research pertinent to the offering of virtual early childhood education programming to young children and their families. Findings are presented as guidelines which may shape the delivery of future programming within virtual contexts. These findings are organized within three major…

Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first…

Changes in learning format between face-to-face, online, and blended learning impact learning convenience. Based on changes in learning formats, this research aims to reveal and explore information regarding the learning formats that postgraduate students feel is most convenient based on their experiences and conditions. This research used a…

This research aims to address the challenges of digital transformation in education by understanding the digital competence of teachers through a mixed-methods approach. The grounded theory is employed to develop the Teachers' Digital Competence Model (TDCM), which is structured around three facets: development, pedagogy, and ethics. Within these…

This study explores the feasibility of using AI technology, specifically ChatGPT-3, to provide reliable, meaningful, and personalized feedback. Specifically, the study explores the benefits and limitations of using AI-based feedback in language learning; the pedagogical frameworks that underpin the effective use of AI-based feedback; the…