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…

The integration of AI into TPACK frameworks is crucial for enhancing teacher readiness in an increasingly technology-driven educational environment. However, a significant gap exists in literature regarding assessing preservice teachers' knowledge on the integration of AI into their pedagogical practices based on the TPACK framework. This study…

Background/purpose: Teachers' pedagogical competence in Indonesia has become one of the central issues in improving the quality of national education. This issue can affect students' academic achievements and influence education quality. This study aims to explore the need to develop a new pedagogical module tailored to current educational…

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…

TPACK is a framework that serves as a guide for educators in utilizing technological advancements in learning activities. TPACK has now become a popular topic in both educational circles and research domains. Previous studies have examined the development of TPACK research through various methods, including literature reviews and bibliometric…

This study investigated the level of emerging digital technologies' competencies of Science, Technology, Engineering, and Mathematics (STEM) pre-service teachers. It employed a descriptive survey research design. A sample of 357 STEM pre-service teachers from a Nigerian university were selected purposively, based on the criteria that they were…

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 quantitatively identifies the mediating aspect of self-efficacy in the connection between technological pedagogical content knowledge (TPACK) and artificial intelligence (AI) adoption intention towards educators in Indonesia. Data were collected via online surveys using adapted questionnaires, and respondents were selected using…

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…

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 study presents the validation of a Technological Pedagogical Content Knowledge (TPACK) scale tailored explicitly for primary mathematics teachers in China. Recognizing the gap in context-specific TPACK assessment tools, the research aims to provide an instrument that aligns with the unique educational landscape of China. Utilizing established…

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 research aims to demonstrate that artificial intelligence (AI) can function not only as a tool for learning, but also as an intelligent agent with which humans can engage in collaborative learning (CL) to change epistemic practices in science classrooms. We adopted a design and development research approach, following the Analysis, Design,…