<![CDATA[Globalization and digitalization demand innovation in global citizenship education. Conventional learning approaches fail to effectively reach younger generations who are deeply familiar with digital technology. This study designs a conceptual transformation of deep learning and AI-based digital media in global citizenship education. It uses a qualitative phenomenological method, employing interviews and observations at the senior high school level and analyzing the data using thematic coding. Results show that deep learning in global citizenship education involves identifying learning needs, developing adaptive models, implementing data-driven instruction, and conducting personalized evaluation. AI technology enables the creation of learning media that is both interactive and adaptive to diverse student learning styles. This integration has the potential to develop a generation with stronger global citizenship values and competencies that are applicable in real life.]]>
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