Factors Influencing the Development of K–12 Teachers’ Practical Knowledge in a GenAI - Supported Environment: A Knowledge Creation Theory Perspective

This dataset was collected to support the empirical investigation of the research titled "Factors Influencing the Development of K–12 Teachers’ Practical Knowledge in a GenAI-Supported Environment: A Knowledge Creation Theory Perspective." The primary objective of data collection was to capture the processes, interactions, and contextual factors that influence how K–12 teachers develop their practical knowledge when using Generative AI (GenAI) tools in their professional practice.

The data is analyzed through the lens of Knowledge Creation Theory (specifically the SECI model – Socialization, Externalization, Combination, Internalization), allowing for a structured examination of knowledge conversion modes within a technology-enhanced environment.