Rapid developments in artificial intelligence (AI) require dynamic adaptation in education to integrate new technologies timely and sustainably. In particular, the rise of generative AI requires leadership to implement it in a meaningful way for teaching and learning. School leaders have a special role to play in driving digital transformation.…

This review compares generative artificial intelligence with five representative educational technologies in history and concludes that AI technology can become a knowledge producer and thus can be utilized as educative AI to enhance teaching and learning outcomes. From a historical perspective, each technological breakthrough has affected…

AI technology, which is becoming more widespread day by day, also affects education and training processes. The use of AI tools in educational environments provides many benefits to teachers and students. However, the use of AI in education also raises some ethical concerns. The aim of this study was to reveal the ethical issues arising from the…

Information Systems (IS) and Information Technology (IT) fields face a unique challenge because of the constant changes in the underlying technologies that need to be taught. The rapid overturn of content leads us to need a variety of strategies to maintain an up-to-date curriculum for our programs. This research continues a seventeen-year data…

This guidance centers around the users of artificial intelligence (AI) in various roles throughout West Virginia PK-12 schools. It is designed to assist individuals such as superintendents, district staff, educators, and support staff in the appropriate and effective use of AI, particularly generative AI technologies, within West Virginia schools.…

When life (society) changes rapidly and drastically, school (education) must change accordingly. However, not all changes are good and beneficial for society, so schools must also think critically and work with a time lag that allows for critical reflection and the search for more rational and optimal solutions. Teachers remain essential in the…

Background: Generative artificial intelligence (AI) represents a potentially powerful, time-saving tool for grading student essays. However, little is known about how AI-generated essay scores compare to human instructor scores. Objective: The purpose of this study was to compare the essay grading scores produced by AI with those of human…

Background: Students in higher education are using generative artificial intelligence (AI) despite mixed messages and contradictory policies. Objective: This study helps answer outstanding questions about many aspects of AI in higher education: familiarity, usage, perceptions of peers, ethical/social views, and AI grading. Method: I surveyed 733…

With the rapid advancement of artificial intelligence (AI), AI creativity has demonstrated significant potential for application across various fields. This study aims to explore the multidimensional characteristics of AI creativity from the audience's perspective and to develop a corresponding measurement scale. Specifically, Study 1 utilized…

Teachers' competencies play a pivotal role in delivering high-quality education, yet the existing literature in this domain appears fragmented, lacking a comprehensive understanding. In response to this gap, our study conducted a systematic review of literature spanning the last three decades. The objective was twofold: to scrutinize the current…

This study explores the transformative role of AI-enhanced social-emotional learning (SEL) frameworks in improving the engagement and emotional well-being of English as a foreign language (EFL) students in China. A survey was conducted among 816 undergraduate and postgraduate students from universities across five provinces, utilising convenience…

Artificial intelligence (AI) is significantly shaping education and currently influencing pre-service teachers' academic and professional journeys. To explore this influence, the present study examines 389 Generation Z pre-service teachers' attitudes towards AI and its impact on educational decision-making at two state universities, using an…

This study aims to examine design students' intention towards using Artificial Intelligence-aided Design Tools (AIDTs). An extended model is developed by combining the affective-cognitive consistency theory with the Unified Theory of Acceptance and Use of Technology (UTAUT). Data are collected through online comments from Chinese streaming media…

Massive open online courses (MOOCs) offer rich opportunities to comprehend learners' learning experiences by examining their self-generated course evaluation content. This study investigated the effectiveness of fine-tuned BERT models for the automated classification of topics in online course reviews and explored the variations of these topics…

Purpose: This paper aims to critically review the intersection of searching and learning among children in the context of voice-based conversational agents (VCAs). This study presents the opportunities and challenges around reconfiguring current VCAs for children to facilitate human learning, generate diverse data to empower VCAs, and assess…