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…

As AI increasingly permeates education, understanding teachers' perceptions and interactions with these technologies is essential. The Technological Pedagogical Content Knowledge (TPACK) framework provides a comprehensive lens to examine these interactions with educational AI tools (EAITs). This study explored the factors influencing teachers'…

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 integration of AI in education highlights the significance of Teachers' AI Literacy (TAIL). Existing assessment tools, however, are hindered by incomplete indicators and a lack of practicality for large-scale application, necessitating a more systematic and credible evaluation method. This study is based on a systematic literature review and…

Recent studies have highlighted the value of providing teachers TPACK-based courses in English-as-a-second-language (ESL) teacher training, yet its role in English-as-a-foreign-language (EFL) settings remains largely unexplored. This study, focusing on the case of a semester-long TPACK-based teacher preparation course designed for pre-service…

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…

This study is a systematic review of Technological Pedagogical and Content Knowledge (TPACK) studies concerning primary mathematics education published between 2005 and 2022. The aim of the systematic review was to identify the common features of previous TPACK research on primary mathematics education and identify the research gaps based on their…