Multimodal synchronous-computer-mediated communication (SCMC) provides many possibilities for improving language learners' pragmatic competence (Maa & Taguchi, 2022). However, the research exploring how SCMC mode affects the pragmatic learning process and its outcome is limited. This study investigates the effects of SCMC modes on pragmatic…

This study aims to examine high school students' artificial intelligence literacy in visual arts subjects and their attitudes toward metaverse-based digital art. The research was conducted using a comparative-relational screening model, one of the screening models. The study sample consisted of 278 9th, 10th, 11th, and 12th grade students. The…

Technological advancements have introduced new educational methods that, when combined with appropriate pedagogical foundations, transform the landscape of education. This study investigates the knowledge, skills, attitudes and challenges faced by teachers of deaf students (DSTs) in integrating Augmented Reality (AR) technology into their teaching…

This research investigates the factors and configurations influencing the intention of primary and secondary school students to use online education. Employing the Technology Acceptance Model (TAM), the research framework incorporates considerations of external environmental factors, extending the model. Methodologically, Structural Equation…

Today, the importance of artificial intelligence in science learning and teaching is rapidly increasing. The growing interest in this field and the resulting increase in academic publications on the subject make it challenging to understand its progress and trends on a global scale. Furthermore, a literature review reveals a notable lack of…

This study scrutinized Vietnamese university students' perceptions of their interaction in synchronous online classes. With a mixed-methods design, the study integrated quantitative and qualitative approaches. The participants comprised 200 tertiary students at a private university in the Mekong Delta of Vietnam. Data were gathered through a…

This study explores Chinese EFL university teachers' beliefs regarding the integration of Large Language Models (LLMs) into language education, drawing on the Expectancy-Value-Cost (EVC) theory. A total of 298 valid responses were collected via an online questionnaire, and Latent Profile Analysis (LPA) was employed to identify distinct belief…

In November 2019, the Leonard Lief Library implemented Ivy.ai, a proprietary chatbot on its website. This implementation was the first academic library installation of a vendor-supplied chatbot to be discussed in the professional literature. This chatbot functioned as a new tool that assisted users seeking information from the library website.…

This study assesses the performance of ChatGPT in comparison with that of undergraduate students in 60 multiple-choice questions (MCQs) of Corporate Finance exams that sought to measure students' abilities to solve different types of questions (descriptive and numerical) and of varying difficulty levels (basic and intermediate). Our results…

Augmented reality (AR), where digital holograms are layered over the real world, is rapidly being applied to different educational domains, including mathematics education. However, little is known about how AR can be effectively designed for collaborative use. There are both practical and theory-based reasons to set up collaboration in AR in…

This study examined characteristics of 458 Grade 10 students who earned a Bachelor of Science degree in computer science while completing their secondary school studies. Cluster analysis of SAT-M and Raven Progressive Matrices Test scores identified four distinct groups: G-EM: generally gifted, excelling in mathematics; AG-AEM: averagely gifted,…

This paper examines the integration of generative artificial intelligence (AI) in doctoral writing pedagogy. It explores how AI augments traditional teaching and composition processes, fosters a new paradigm of cognitive engagement and collaborative academic writing, and the broader ethical and social implications of human-AI writing in doctoral…

Automated writing evaluation (AWE) is an artificial intelligence (AI)-empowered educational technology designed to assist writing instruction and improve students' writing proficiency. The present study adopted a quasi-experimental design using the inverse probability of treatment weighting method to explore the long-term effects of an AWE system…

The rapid digital transformation of vocational education and training (VET) has underscored the need to adapt traditional assessment methods to digital formats. However, when transitioning to digital modes, it is crucial to consider factors beyond mere technical implementation, particularly the potential impact of altered presentation formats on…

This study systematically reviews and compares the integration of Artificial Intelligence (AI) in vocational and undergraduate education, drawing on 50 peer-reviewed studies published between 2018 and 2025. Findings reveal that undergraduate institutions primarily leverage AI to enhance theoretical exploration, research capacity, and higher-order…