Artificial intelligence (AI) transforms the ethical and moral subjectivity of teachers, positioning them to navigate the complex convergence of technological advancement, intellectual autonomy, and teacher identity. The purpose of this paper is to offer a conceptual model for how teachers' identities are constituted through AI prompt engineering.…

This scope-review presents the milestones of how Hierarchical Rater Models (HRMs) become operable to used in automated essay scoring (AES) to improve instructional evaluation. Although essay evaluations--a useful instrument for evaluating higher-order cognitive abilities--have always depended on human raters, concerns regarding rater bias,…

With the rapid development of information technology, telecommunication network fraud poses a serious threat to college students. Urgent action is needed to enhance their awareness of fraud prevention through effective educational methods. This study constructed a behavioral willingness model to use an anti-fraud educational game among university…

As technology rapidly evolves, generative AI tools are increasingly integrated across various fields, including education. ChatGPT, a well-known language model developed by OpenAI, has gained significant importance in educational settings. This study employed a quantitative, cross-sectional survey design and employed the Unified Theory of…

The potential of immersive virtual reality (IVR) to deliver engaging occupational safety training has been established by previous research; however, to date, there have not been any pedagogical models to guide its implementation. This study's objective was to conceptualize a pedagogical model for IVR safety training by combining a…

Recent developments in Generative Artificial Intelligence (GenAI) technologies have had significant implications for English language education worldwide, opening up new opportunities and challenges. Both researchers and practitioners are increasingly exploring the necessary capabilities that English language learners should possess in relation to…

Background/purpose: This study examines the behavioral factors influencing the adoption of AI-powered generative technologies in higher education and their impact on students' cognitive engagement--a crucial element of sustainable, inclusive, and high-quality learning, as envisioned by UNESCO's Sustainable Development Goal 4 (SDG4). The study…

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…

Scientific modeling is a vital educational practice that helps students apply scientific knowledge to real-world phenomena. Despite advances in AI, challenges in accurately assessing such models persist, primarily due to the complexity of cognitive constructs and data imbalances in educational settings. This study addresses these challenges by…

The transformation of natural history and science museums from receptacles (temples) to facilitators (forums) of knowledge fosters discourse around issues relating to science and society, known as social scientific issues (SSI). To assist guests with enhanced object-based learning, extended reality (XR) technologies are thought to leverage the…

Digital image processing is an integral part of the computer vision field. However, traditional digital image processing teaching methods mainly focus on theoretical knowledge, lacking practical teaching content. To address this issue, this article proposes a project-based learning (PBL) model that consists of four key stages: project proposal,…