Artificial Intelligence in Education (AIED) is a broad and multifarious area of study that spans across various academic fields. Due to the high numbers of studies in this field, it seems too challenging to analyze all of them in depth in a single study. Additionally, there is a lack of research that provides a comprehensive overview of the main…

The release of a free generative artificial intelligence (GAI), ChatGPT, in November 2022 has opened up numerous opportunities for students with disabilities in higher education. While the transformative impact of GAI on teaching and learning in general is being debated intensively, little attention has been given to its potential for fostering or…

Predicting academic performance in Educational Data Mining has been a significant research area. This involves utilizing machine learning techniques to analyze data from educational settings. Predicting student academic performance is a complex task due to the influence of multiple factors. This research uses supervised machine-learning approaches…

For working students, reconciling work and school lives is a major challenge. Emerging ubiquitous information and communication technologies (ICTs) further exacerbate this challenge, as a constant connection to work via ICTs blurring the boundaries between work and school domains. While the influence of ICTs on users' work and personal lives has…

Academic dishonesty is basically defined as unethical or undeserved behavior by students within an educational setting. Although numerous studies have been published that were conducted with undergraduate students, much less is known about the e-dishonesty of postgraduate students. In this study, besides determining the status of e-dishonesty…

This study aimed to explore the effects of active social network usage (ASNU) and passive social network usage (PSNU) on academic performance. Using a survey sample of 621 high school students in Taiwan, the results showed that PSNU did not associate with learning results, whereas ASNU may have its function on students' learning. Specifically,…

The primary aim of the study is to develop an augmented reality (AR) acceptance scale within the framework of the unified theory of acceptance and use of technology (UTAUT) model to measure individuals' acceptance and use of AR technology. The study was performed with a total of 546 university students with three participant groups in the…

This exploratory case study examines how AI technologies, specifically a GPT-4-based synopsis chatbot, can serve as a sparring partner for doctoral students in Norway. Despite favourable conditions, only two-thirds of Norwegian PhD candidates complete their doctorates, partly due to challenges with article-based dissertations that require a…

The pandemic caused by COVID-19 has sped up the use of digital platforms in educational settings, with TikTok playing a vital role in promoting learning and engagement. This study investigates the role of TikTok in shaping users' psychological well-being and educational outcomes during this period of disruption. Data collection involved a…

Digital reading literacy has emerged as a pivotal factor contributing significantly to teenagers' academic and future career successes. Few studies have focused on how ICT-related factors shape students' digital reading literacy in non-English-speaking contexts. This study explored the impacts of ICT-related home and school factors on digital…

This study aims to determine how the use of virtual reality impacts physics students, their knowledge, and the quality of training. The study involved 116 students aged 17-19. The main purpose is to explore the effect that VR technology has on students' knowledge and motivation. As per usual, the students were divided into two research groups:…

Educationalists', researchers', and policy makers' work on children's digital resilience has marginalised the role of the broader context within which digital resilience is constituted, experienced and derived. We aimed to address this lacuna by exploring how pre-teen's digital resilience operates as a dynamic socio-ecological process. Addressing…

Generative Artificial Intelligence (GenAI) has fundamentally transformed the education landscape, offering unprecedented potential for personalized learning and enhanced teaching methods. This research conducted two sub-studies aimed at exploring the influences and differences in college students' attitudes towards generative artificial…

The study aimed to explore the role of e-portfolios in supporting active student engagement in chemistry learning within postgraduate education in Rwanda. The researchers adopted the qualitative descriptive approach, in which a random sample of 4 chemistry students at the University of Rwanda, African Centre of Excellence for Innovative Teaching…

Computer science development, especially machine learning, is a thriving innovation essential for education. It makes the process of teaching and learning more accessible and manageable and also promotes equality. The positive influence of machine learning can also be felt in Islamic studies, particularly in Hadith studies. This literature review…