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…

Rural educators need access to evidence-based instructional practices and technologies that meet the needs of our communities. Difficulty accessing quality professional development due to geographic isolation, limited access to specialists, cost constraints, staffing shortages, lack of access to resources and technology, and less time to…

Higher education has witnessed remarkable technological advancements; however, the rapid rise of generative artificial intelligence (Gen AI) presents substantial challenges for teaching and research. This growing reliance has expanded educators' roles, underscoring the need for ethical and selective AI integration while preparing students and…

The study presented investigated the relations between personal factors and teachers' attitudes towards AI in order to deduce implications for professional learning and test a "post-teaching" theoretical hypothesis. A survey was conducted on the opinions of 177 teachers involved in the secondary school qualification course. The teachers…

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…

This study explores educators' perspectives on the impact of generative artificial intelligence (AI) on academic roles within Palestinian institutions. Through qualitative interviews and quantitative surveys, the research reveals significant anxiety among educators, particularly concerning the potential decline of traditional roles, educational…

This Spotlight explores the potential of AI to enhance teaching and learning, while also addressing considerations for responsible implementation. From using AI to deliver instruction with human guidance and exploring its impact on standardized testing to providing targeted professional development on AI, these articles offer valuable…

This paper investigated teachers' perceptions towards the integration of Artificial Intelligence educational tools (AIED) into their educational practices. Indeed, AI rapidly advances across various fields, including education, and it is essential to understand teachers' perceptions to effectively harness its potential. The study used a…

This preliminary quantitative research investigates preservice teachers' (PSTs) perceptions of adopting ChatGPT, an artificial intelligence (AI) tool, focusing on the early stage of the diffusion of innovation (DOI) process. The study aims to understand PSTs' innovation consciousness and how it influences their perceptions of integrating ChatGPT…

This study examines the contribution that generative AI (ChatGPT) can make to the TPACK (Technological Pedagogical Content Knowledge) of mathematics teacher educators (MTEs) when addressing pedagogical and mathematical events. The study involved 15 experienced MTEs who were tasked with planning training sessions for elementary school teachers. The…

This study explored how integrating e-learning tools, specifically free 'Google Workspace for Education' tools, enhances teaching proficiency and student engagement in the digital age within Rwandan secondary schools. By employing a phenomenological approach, interviews were conducted with 166 secondary teachers from four purposefully selected…

Artificial intelligence (AI) competence in education is a set of skills that enable teachers to ethically and responsibly develop, apply, and evaluate AI for learning and teaching processes. While AI competence becomes a key competence for teachers, current research on the acceptance and use of AI in classroom practice with a specific focus on the…

Teacher shortages and attrition are problems of international concern. One of the most frequent reasons for teachers leaving the profession is a lack of job satisfaction. Accordingly, in this study we have adopted a causal inference machine learning approach to identify practical interventions for improving overall levels of job satisfaction. We…

Expansive Framing (EF) is a theory and an instructional technique to facilitate connections between content and contexts. We employed EF as an approach to create a series of integrated mathematics and computer science (CS) lessons, using digital technology as a tool to leverage shared mathematical and computational ideas. We used deductive…

The integration of Artificial Intelligence (AI) into early childhood education raises important pedagogical questions about how to design inclusive, multimodal learning experiences that nurture children's agency and critical literacies. This paper analyzes sixty AI-enhanced teaching scenarios, developed during a national training program, through…