Today lively debates are unfolding about artificial intelligence (Jackson, 2024; Peters et al., 2024; Sidorkin, 2024). Despite these debates, the topic remains undertheorized (Gourlay, 2024) in relation to various matters pertaining to its use, benefits, risks, and implications. As argued in a recent editorial for this journal (2024), it is…

The architecture of the service platform via AI chatbots is a research tool which was fabricated to specifically promote digital competency through the use of AI chatbots. The architecture of the service platform herein was initiated by the application of artificial intelligence technology integrated with chatbot technology to create the user…

The research aims to prove the economic conditionality of the process of large-scale introduction of distance education in the context of global digital transformation by the economic interests of private subjects of socio-economic relations. Reaching the terminal stage of the crisis of the liberal socio-economic system leads to the need to…

This paper considers the legal mechanisms of protecting the interests of private investors in the sphere of online investing, which are based on blockchain technologies. Blockchain technologies allow reducing the mismatch between the requirements of the labor market and the offer of the higher education market. This paper's methodology is…

Atomic-level visualizations serve as pivotal instructional tools in chemistry education, providing insights into the particulate level of matter, a dimension fundamental, yet typically invisible, in the study of chemistry. This research investigates how students' engagement with these visualizations influences their conceptual understanding of…

This paper aims to inform other practitioners working with students with autism spectrum disorder about how to create and implement activity schedules for use in schools. This paper includes a review of research regarding the effectiveness of activity schedules on on-task behavior and the ability to transition. Creating these schedules has been…

Short answer assessment is a vital component of science education, allowing evaluation of students' complex three-dimensional understanding. Large language models (LLMs) that possess human-like ability in linguistic tasks are increasingly popular in assisting human graders to reduce their workload. However, LLMs' limitations in domain knowledge…

This report reviews leading AI literacy frameworks through the lens of WCET's Policy and Practice Framework. Analyzing 50+ resources and highlighting three key frameworks, it offers actionable insights across the dimensions of AI governance, operations, and pedagogy. Rather than recommending a single model, it advocates for remixing openly…

The emergence of artificial intelligence and neural networks creates a significant potential for automating an increasing number of business processes of large, small, and medium-sized businesses in various sectors of the economy. The financial sector, education, medicine, retail trade, and transport are the most promising from the point of view…

Despite the growing demand for technological literacy and critical thinking in higher education, traditional pedagogical methods often fail to fully engage students in developing these essential skills. Science fiction presents an underutilized yet promising tool for addressing this gap. This study investigates the impact of Science fiction on…

The aim of this study is to examine the anxiety levels of prospective German teacher candidates in the face of rapid developments in artificial intelligence applications. Participants (n = 136) from the Department of German Language Teaching were included in the study. The 16-item Artificial Intelligence Anxiety Scale (AIAS) developed by Wang and…

The aim of this study is to investigate the effects of the flipped classroom model on the academic success and 21st century skills of middle school students in the unit of systems in our body. The study was conducted with 6th grade students studying in a state school in Istanbul. In the study, an applied study was conducted with two experimental…

Generative Artificial Intelligence (GAI) has received widespread attention recently, influencing teacher education in various ways. However, there is little discussion on pre-service teachers' behavioral intention towards GAI. Therefore, this study employs subjective norm, AI self-efficacy, facilitating conditions, and trust to expand the…

Taking the "practice turn" in K-12 science classrooms requires students to engage in processes of knowledge building, constructing explanatory accounts of natural phenomena. To support students in these sensemaking opportunities, a significant departure is needed from how science is typically taught in many classrooms. Teachers will need…

Although the use of AI technology driven by anxiety has become increasingly common, research on the relationship between high school students' math anxiety and their intention to use AI for problem-solving remains limited. This study, grounded in the Stimulus-Organism-Response (SOR) model, aims to explore the relationship between math anxiety and…