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Developing a Framework for the Integration of Artificial Intelligence in Technology Education
This paper proposes a theoretical framework for integrating AI convergence education (ITS, DBTS, ELE) into technology education's problem-solving learning process, structuring it into problem-solving, design, development, and evaluation stages. The work is conceptual and does not present an evaluation methodology, benchmark, or empirical study of AI's impact on student learning.
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