This research aimed to determine the perspectives of Turkish instructors of English on the use of AI tools by Turkish learners of English on their writing skill development given the increasing prevalence of these tools among language learners. Thus, the perspectives of the instructors of these learners are significant in this sense. In this…

Background/Purpose: This study investigates the effectiveness of integrating Artificial Intelligence (AI) with Problem-Based Learning (PBL) to enhance high school students' conflict resolution skills within the context of civic education. The initiative responds to the increasing need for pedagogical models that simultaneously foster ethical…

This report examines how enrolled undergraduate students and parents of undergraduates view higher education and how they pay for it. The report considers education funding sources--from parent and student income and savings to scholarships, grants, and borrowed funds--and evaluates trends in payment strategies over time. This 18th edition builds…

Students struggle to acquire the needed energy understanding to meaningfully participate in the energy discourse about socially relevant topics, such as energy transformation or climate change. Identifying students on differing learning trajectories, as well as differences in knowledge used, is essential to help students achieve the needed energy…

The developments in artificial intelligence (AI) have significantly transformed second language (L2) learning and assessment, and the role of AI technologies in L2 assessment have been investigated in recent research. This study presents a bibliosystematic analysis of AI-assisted L2 assessment. Using both systematic analysis and bibliometric…

The purpose of this study is to describe teachers through the lens of social-emotional learning (SEL) constructs and the impact that teachers' social and emotional competencies may have on student achievement. Data in this correlational study are collected through a survey measuring teachers' emotion regulation and relationship management skills,…

The review systematically analyzes AI-disruptive change in language education by considering multilingual settings, large language models, and new implications. After integrating the findings of 161 studies from 2015 to 2024, the review relies on the PRISMA framework to analyze progress and gaps regarding AI use tools, ethical considerations, and…

This study investigated the potential of Microsoft Copilot, an artificial intelligence (AI) image generator, as a creative tool for 30 undergraduate art education students in Kuwait. The research explored how Copilot could synthesize classical artistic styles with contemporary themes using prompts inspired by six historical artists. Students…

The rise of machine translation demands a fundamental shift in both translators' roles and educational approaches. However, translation education research and practice have struggled to keep pace with the latest developments. To bridge the pedagogical gap, this study conceptualises machine translation literacy within the context of translation…

The rapid proliferation of generative artificial intelligence (AI) has created a fast-moving, real-time social experiment at scale. AI uses for school are numerous, with some students using AI for their homework and some teachers using AI to create lesson plans, receive feedback on their instruction, or complete such administrative tasks as…

Accessible and practical, the sixth edition of "School-Community Relations" provides aspiring educational leaders with the skills to establish strong systems for communicating with their various school constituencies and to improve public relations at all levels. This textbook uses real-life examples to illustrate the ways in which…

The increasing integration of artificial intelligence (AI) in education has raised significant questions about its pedagogical value, especially in language learning. This meta-analysis examines the extent to which AI contributes to the development of English-speaking and listening skills. A systematic review of the literature was conducted by the…

With the continuous progress of educational technology, personalized teaching has become a key way to improve teaching quality. In view of the current situation that English teaching content lacks personalization and interactivity, this paper proposes a personalized English teaching content generation system based on neural network (NN). The…

Background: STEM education aims to develop innovation and problem-solving skills through interdisciplinary learning, yet struggles to foster student engagement and interdisciplinary thinking. Whilst alternate reality games (ARGs) can boost motivation via game-based problem-solving, integrating large language models (LLMs) remains underexplored.…

Generative AI systems like chatbots are increasingly being introduced into learning, teaching and assessment scenarios at universities. While previous research suggests that users treat chatbots like humans, computer systems are still often perceived as less trustworthy, potentially impairing their usefulness in learning contexts. How are…