As artificial intelligence (AI) rapidly transforms educational practices, educators worldwide face an urgent need to develop pedagogic competencies that align with AI's evolving capabilities, yet existing frameworks lack systematic guidance for AI-specific skill development. This article introduces a pioneering framework designed to refine…

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…

This case study investigated the development of prospective mathematics teachers' technological pedagogical content knowledge (TPACK) in graphical data displays with (VM) within the context of a microteaching lesson study (MLS). This research investigated how five participants integrated technology and implemented a lesson plan aimed to teach…

The purpose of this study was to assess the relationship between school-based agricultural education (SBAE) teacher Technological Content Knowledge, Pedagogical Content Knowledge, and Technological Pedagogical Knowledge and teachers' technology integration self-efficacy through the use of TPACK and the Intrapersonal Technology Integration Scale…

This study examines the factors influencing preservice teachers' (PSTs) technology integration during teaching practice in teacher preparation programs. Utilizing a multidimensional framework, the study integrates models such as TPACK, UTAUT, and the Triple-E evaluation rubric, among others. The research involved a Qualtrics survey of 1,217 PSTs…

In recent years, there has been a growing emphasis on integrating Artificial Intelligence (AI) applications in educational settings. As a result, it is essential to assess teachers' competencies in Technological, Pedagogical, and Content Knowledge (TPACK) as it pertains to AI and examine the factors that influence these competencies. This study…

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…

This study examines how pre-service science teachers integrate technology into the design of learning activities, paying particular attention to types of technology integration, cognitive demand, scientific research skills, and TPACK. A mixed methods approach was used to analyze 49 learning activities designed by pre-service physics, chemistry,…

The purpose of this study was to investigate the effect of preservice teachers' identity on TPACK regarding the mediating roles of mathematics teaching competency, teacher belief, and technostress across grade levels. A total of 926 preservice mathematics teachers participated in the study. We used structural equation modeling to determine and…

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…

TPACK development for prospective mathematics teacher students is a crucial aspect in preparing educators who are able to integrate technology effectively in the learning process. This study aims to examine the development of TPACK for prospective mathematics teacher students and the most effective form of TPACK development for prospective…

Constant teacher training and up-dating is fundamental to provide quality teaching and learning. Digital competences are among the skills that teachers must acquire in order to improve the teaching and learning processes. The aim of the present study was to review the scientific production of the last five years regarding teacher digital…

Artificial Intelligence (AI) is increasingly embedded in daily life, transforming how we process information, analyse data, and communicate. As AI enables new forms of interaction, educators need to assess its implications for teaching and learning. This study examines how AI tools, specifically ChatGPT, were integrated into preservice teacher…

The selection process of a coaching model should be an initial consideration before conducting training activities. However, the limited availability of coaching models hinders the delivery of quality training programs. Therefore, it is necessary to have options for coaching models. This research aims to develop a goal, actual, alternative, plan,…

Purpose: The present study aimed to integrate artificial intelligence technology (ChatGPT) with an in-depth literature review to explore knowledge dimensions of professional teaching and information and communication technology (ICT) integration models in TVET, and utilize the Delphi technique and ChatGPT to examine, enhance, and validate a newly…