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Di Zou; Haoran Xie; Lucas Kohnke – European Journal of Education, 2025
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…
Descriptors: Teacher Competencies, Artificial Intelligence, Pedagogical Content Knowledge, Technological Literacy
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Fatih Karatas; Bengü Aksu Ataç – Education and Information Technologies, 2025
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…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Artificial Intelligence, Preservice Teachers
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Adhika Ganendra; Soetarno Joyoatmojo; Soetarno Joyoatmojo; Dewi Kusuma Wardani – Educational Process: International Journal, 2025
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…
Descriptors: Foreign Countries, Teacher Competencies, Pedagogical Content Knowledge, Learning Modules
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Selçuk Dogan; Umran Y. Nalbantoglu; Ismail Celik; Nihan Agacli Dogan – Professional Development in Education, 2025
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…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Strategic Planning, Artificial Intelligence
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Gamze Kurt; Erdinç Çakiroglu – International Journal of Mathematical Education in Science and Technology, 2025
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…
Descriptors: Preservice Teachers, Pedagogical Content Knowledge, Technological Literacy, Graphs
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Andika Prasetya; Irwanto Irwanto – International Journal of Education in Mathematics, Science and Technology, 2025
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…
Descriptors: Trend Analysis, Research Reports, Technological Literacy, Pedagogical Content Knowledge
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Mücahit Öztürk; Pinar Mihci Türker; Gökhan Kerse – Education and Information Technologies, 2024
This study explored pre-service teachers' technological pedagogical content knowledge levels and their blended teaching readiness. In this context, the study employed the cross-sectional survey design, and the variables were analyzed descriptively and correlationally. The study was carried out with the participation of 477 pre-service teachers.…
Descriptors: Preservice Teachers, Pedagogical Content Knowledge, Technological Literacy, Blended Learning
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Mishra, Punya; Warr, Melissa; Islam, Rezwana – Journal of Digital Learning in Teacher Education, 2023
The educational impact of Generative AI (GenAI) technologies, such as ChatGPT, has received significant attention. We use the TPACK framework to discuss the types of knowledge teachers require to effectively use GenAI tools. We highlight the qualities of GenAI that make it like other digital technologies (they are protean, opaque, and unstable) as…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Artificial Intelligence, Teacher Education
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Peter Abayomi Onanuga; Adewale Owodunni Saka – Journal of Teaching and Learning, 2025
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…
Descriptors: STEM Education, Preservice Teachers, Technological Literacy, Gender Differences
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Macey Kleinjan; Brooke L. Thiel; Adam A. Marx – Journal of Research in Technical Careers, 2025
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…
Descriptors: Agriculture Teachers, Educational Technology, Technology Integration, Agricultural Education
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Orit Oved; Dorit Alt – Education and Information Technologies, 2025
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'…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Technology Uses in Education, Technology Integration
Chloe S. Thompson – ProQuest LLC, 2024
This study presents the role of pre-service teacher training in developing Technological Pedagogical Content Knowledge (TPACK) levels. The study had two main objectives. The first was to analyze the role of pre-service teacher training in enhancing teachers' TPACK levels, and the second was to compare the two training routes (traditional and…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Preservice Teachers, Preservice Teacher Education
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Joshpine, T.; Albina, A. Pio – Education and Information Technologies, 2023
This study aims to assess the impact of metacognitive awareness of the Technological Pedagogical and Content Knowledge (TPACK) among preservice teachers. The investigation was carried out as descriptive research, involving a normative survey method. The sample consists of 200 preservice teachers in Karaikudi, drawn through a simple random sampling…
Descriptors: Preservice Teachers, Metacognition, Knowledge Level, Pedagogical Content Knowledge
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Christina Ismaniati; Nurul Inayah Khairaty; Nuraini Yusuf; Agus Supramono – Journal of Pedagogical Research, 2025
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…
Descriptors: Self Efficacy, Pedagogical Content Knowledge, Technological Literacy, Artificial Intelligence
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Nur Hanifah Insani; Suwarna; Sulis Triyono – Turkish Online Journal of Distance Education, 2024
Over the past few years, technology integrated into online learning has become a significant component of education in response to educational evaluation worldwide, especially in Indonesia. The current study aims to explore the TPACK levels of Javanese school teachers, identify integrated technologies-based media used by Javanese school teachers…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Foreign Countries, Teaching Methods
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