This study aims to provide a systematic review using the PRISMA protocol that overviews artificial intelligence (AI) professional development (PD) initiatives for teachers, emphasising the fusion of technological and pedagogical knowledge. Framed within the Technological Pedagogical Content Knowledge (TPACK) framework, the research explores the…

Artificial intelligence (AI) has made remarkable strides in recent years, finding applications in various fields, including chemistry research and industry. Its integration into chemistry education has gained attention more recently, particularly with the advent of generative AI (GAI) tools. However, there is a need to understand how teachers'…

This qualitative study explored the factors that influence teachers' behavioural intention (BI) to use ChatGPT for teaching. The data was collected from 214 Bhutanese teachers using open-ended questions and interviews. The thematic analysis revealed four key factors that are likely to influence teachers' BI to use ChatGPT in the context. These…

The broad approach to using Generative AI in K-12 schooling focuses on identifying risks and productivity gains rather than the more complex issues of transformational change. As a response, this study examined how school leaders considered Gen AI transformation within their disciplines. Ten subject leaders were interviewed about their pedagogical…

This study explores the effectiveness of experiential learning in teaching generative AI to entrepreneurs and small business owners. The in-person training program, grounded in Kolb's Experiential Learning Theory, aimed to enhance participants' understanding, attitudes, and perceived benefits of AI adoption. Through a structured cycle of Concrete…

This study examines a Technology, Pedagogy, Content Knowledge (TPACK) training framework for pre- and in-service mathematics teachers that enables them to experience inquiry-based learning as learners in a dynamic geometry environment that serves as a mathematics laboratory. We investigate the effect of this experience on the teachers' TPACK,…

This study builds on the increasing relevance of technology integration in higher education, specifically in artificial intelligence (AI) usage in educational contexts. Background research highlights the limited exploration of AI training in educational programs, particularly within Latin America. AI has become increasingly pivotal in educational…

The emergence of generative AI (GenAI) has illustrated that higher education needs to adapt to the technology. Its speed of evolution requires that we adequately prepare students for an ever-changing landscape. Toward achieving that aim, we draw on the concept of interpretive flexibility, where the interpretations, uses, and outcomes of a new…

Generative AI (GenAI) has the potential to revolutionize the analysis of educational data, significantly impacting learning analytics (LA). This study explores the capability of non-experts, including administrators, instructors, and students, to effectively use GenAI for descriptive LA tasks without requiring specialized knowledge in data…

Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…

Educator preparation, personalized learning (PL) implementation, and applications of Generative AI converge as three interrelated systems that, when carefully designed, can help achieve the long-sought goal of providing inclusive education for all learners. However, realizing this potential comes with challenges resulting from theoretical…

Purpose: Manufacturing systems have undergone radical changes because of the implementation of physical and digital innovating technologies with high levels of connectivity, interoperability and autonomy. In this regard, the objective of this study was to investigate whether industrial engineers graduated in recent years in Brazil are prepared or…

This study aimed to examine the effect of ChatGPT usage on pre-service mathematics teachers 'selfefficacy in mathematics learning. The study further examined the mediating role of self-awareness and self-regulatory learning on the nexus between ChatGPT Usage and pre-service mathematics teachers' selfefficacy. The study adopted a survey approach…

Background: The advent of generative-artificial intelligence (AI) applications introduces new challenges for colleges. Importantly, the growth of these applications requires faculty to adjust their pedagogy to account for the changing technological landscape. Objective: As colleges wrestle with the implications of these applications, it is…

This study analyzed the impact of AI teaching on teaching quality, and revealed the mediating effect of student motivation and teacher expertise in the relationship of AI teaching and teaching quality. Based on the AI-TPACK theory, this study explored the impact of AI teaching on teaching quality and its mediating mechanism using questionnaires…