This study aims to develop a conceptual model integrating Artificial Intelligence (AI) and Digital Humanities into STEM learning at Muhammadiyah Higher Education institutions. Using a qualitative approach, the research employs a systematic literature review, conceptual analysis, and expert validation to identify gaps in the partial integration of these fields. The findings demonstrate that the integration of AI, Digital Humanities, and STEM can create an adaptive, humanistic, interdisciplinary, and value-based learning model. The proposed model consists of three key components: AI as a data-driven facilitator that supports personalized and adaptive learning; Digital Humanities as a framework that incorporates ethical, social, cultural, and humanistic values; and STEM as the implementation context for developing critical thinking, creativity, collaboration, problem-solving, and other 21st-century competencies. Expert validation indicates a very high level of model feasibility, with an average score of 4.47. The study contributes theoretically to the development of interdisciplinary education and practically provides a reference for designing technology-based and value-oriented learning. Future research should empirically examine the effectiveness, applicability, and sustainability of the proposed model in diverse real-world learning environments.
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