Developing a Framework for the Integration of Artificial Intelligence in Technology Education

This paper proposes a conceptual framework for integrating AI convergence education (Intelligent Tutoring Systems, Dialogue-Based Tutoring Systems, and Exploratory Learning Environments) into K-12 technology education's problem-solving learning process. The framework structures technological problem-solving into stages (problem solving, design, development, evaluation) and maps different AI educational approaches to different knowledge types and learning stages.

This study aimed to create a foundation for the integration of AI in technology education. The framework of this study was based on the important problem-solving learning process in technology education. The developed framework structures the problem-solving steps of such types of problems into problem solving, design, development, and evaluation. Each technological problem and problem-solving step area can be implemented using Intelligent Tutoring System (ITS), Dialogue-Based Tutoring System (D

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