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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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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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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
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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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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Barbara Class – International Journal of Research & Method in Education, 2024
This article contributes to the discussion on research methods pedagogy by adding a technological dimension to Nind's use of Pedagogical Content Knowledge (PCK) in research methods education (RME). Within a Scholarship of Teaching and Learning approach, this research-inspired reflection is based on the literature, on the scholar's praxis and on…
Descriptors: Courses, Research Methodology, Pedagogical Content Knowledge, Technological Literacy
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Xinnan Zhao; Fengnian Wang – Discover Education, 2024
Technological Pedagogical Content Knowledge (TPACK) is a theoretical framework used to assess information teaching. However, its application and popularity in practice is limited due to usability and accuracy issues. This study presents a quantitative model called TPACK-Venn, which is based on the graphical calculation of a Venn diagram determined…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Visual Aids, Computation
Julianne Beth Ross-Kleinmann – ProQuest LLC, 2024
This mixed-methods explanatory sequential study of K-6 classroom teachers and education technology leaders (ETLs) examined their technological pedagogical content knowledge (TPACK) and awareness of New York State's Computer Science and Digital Fluency (NYS-CS/DF) Learning Standards. Combined, the findings provide guidance for a successful rollout…
Descriptors: Elementary School Teachers, Technological Literacy, Pedagogical Content Knowledge, Digital Literacy
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Hyojoon Kim; Jinwoong Song; Sangwoo Ha – Journal of Computer Assisted Learning, 2024
Background: TPACK is a widely used framework for assessing teachers' competence in integrating technology in education. However, previous studies have shown varying interpretations of the relationship between TPACK elements. Qualitative studies that assess the manifestations of TPACK by examining the practices of pre-service teachers are rare.…
Descriptors: Foreign Countries, Pedagogical Content Knowledge, Technological Literacy, Preservice Teachers
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Kudzayi Savious Tarisayi – Research on Education and Media, 2024
Artificial intelligence (AI) and machine learning have become increasingly important in modern society and are poised to play an increasingly prominent role in education. This paper seeks to provide a theoretical framework for interrogating the integration of AI in education spaces. The paper argues that the eventual response of educators to…
Descriptors: Teaching Methods, Artificial Intelligence, Computer Software, Systems Approach
Price, Sonsuahray – ProQuest LLC, 2023
This exploratory study investigated Tuskegee University contingent faculty's integration of technology in instruction, their knowledge of tech-related pedagogy, and self-efficacy regarding learning and integrating technology in the classroom. The data consisted of eight thematic interviews with items derived from the modified HE-TPACK and…
Descriptors: Self Efficacy, Technology Integration, Technological Literacy, Pedagogical Content Knowledge
Kroesen, Jennifer L. – ProQuest LLC, 2023
This quantitative research collected information from secondary mathematics educators about their self-efficacy on technology use, their technological, pedagogical, and content knowledge (TPACK), and their level of technology implementation according to the levels on the SAMR model. These four levels are Substitution, Augmentation, Modification,…
Descriptors: Mathematics Teachers, Self Efficacy, Technology Integration, Technological Literacy
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Yael Feldman-Maggor; Ron Blonder; Giora Alexandron – Journal of Science Education and Technology, 2025
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'…
Descriptors: Chemistry, Science Instruction, Technological Literacy, Pedagogical Content Knowledge
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