Much attention has been paid to computational thinking (CT) as a problem-solving approach across various curricula, particularly in mathematics. Most studies solely used a digital instrument or examined transfer of program solving ability, neglecting the mathematics knowledge domain or how the novel digital instrument functions alongside the…

This study aimed to investigate the extent to which computer-assisted pronunciation (CAP) is influential in helping Hijazi students to develop their pronunciation of English vowels within a Saudi English as a foreign language (EFL) context. It also examined whether Saudi Hijazi learners taught English vowel sounds by CAP outperform those taught…

Purpose: Research has demonstrated that neurotypical college students view their autistic peers more negatively than their neurotypical peers and endorse stereotypes related to autism. One way to improve attitudes towards autistic individuals is to induce vicarious intergroup contact through the media in which seeing the lived experiences of an…

This article provides insight into digitized school leadership practices in Irish schools, and the making of the school leader in mediations with the sociomaterial relations emerging from these practices. Drawing on actor-network theory, the study illustrates how school leaders' subjectivities emerge through relations and attachments to VSware, a…

The rapid adoption of generative artificial intelligence (GenAI) in higher education has raised questions about student use, academic integrity, and institutional regulation. This study examines students' perceptions of and compliance with GenAI regulations in higher education, using a Singaporean university as a case study. Adopting a…

Virtual reality (VR) has emerged as a transformative technology in education, enabling immersive simulations that foster student engagement and improve knowledge retention. This study presents a bibliometric analysis of global trends, research patterns, and challenges related to the integration of VR in educational contexts. Data were collected…

This study investigated the effectiveness of localized learning content (LLC) in enhancing computational thinking (CT) skills and learning motivation among 6th-grade elementary school students in Busan, South Korea. In contrast to conventional methodological approaches, our research focuses on the transformative power of culturally and…

This study assesses and ascertains the relationship between university infrastructure and student satisfaction, emphasizing how facilities influence students' academic experiences and overall well-being. Using a convergent parallel mixed-methods approach, the research collected quantitative and qualitative data from over 1,600 students across 13…

A disadvantage that A&P classrooms using 3-D digital computer anatomical models experience is the disconnect between digital and physical models traditionally used. This project used 3-D digital models on smart tablets and traditional physical models for in-class A&P lab practical exam studying and preparation. We focused on the hands-on…

The learning model based on visual and auditory elements, which reflects the modern education process, plays an important role in taking students' readiness levels to the highest levels by directly penetrating their innovative and creative thinking skills. Therefore, the aim is to determine the effects of digital animation technology, an essential…

Background/purpose: Artificial Intelligence (AI) is transforming education through adaptive learning systems, intelligent tutoring, and personalized instruction. Although AI has become increasingly prominent in language education, its specific impact on enhancing Arabic proficiency has not been adequately explored, especially in terms of student…

Background/purpose: This research is motivated by the difficulties often experienced by students in adapting to their first year of college, especially related to learning calculus. To address these difficulties, a solution needs to be found so that these problems can be resolved. One solution that is expected to yield optimal results in…

Large language models (LLMs) are increasingly being utilized to develop tools and services in various domains, including education. However, due to the nature of the training data, these models are susceptible to inherent social or cognitive biases, which can influence their outputs. Furthermore, their handling of critical topics, such as privacy…

Mathematical proof, often regarded as the heart of mathematics, is essential for interconnected mathematical knowledge. However, proof-writing skills do not develop inherently. Effective learning environments are vital for university students to enhance these skills. This study investigates the impact of the ISMAT model on pre-service teachers'…

Given the popularization of artificial intelligence in education, this study explores this technology's effects on emergent bilinguals' writing and revision. Large Language Models have become prevalent as supports for teachers and students in revising. Yet, research has not examined the intricacies of using these tools with emergent bilinguals.…