Andi Asrifan, Rismawati Sudirman, Vivit Rosmayanti, La Sunra, Jusrianto Jala, Suci Amaliah
This chapter discusses strategic frameworks for integrating AI into higher education curricula in different domains. The examination begins with the conceptual and pedagogical changes needed to move from traditional educational frameworks to AI-augmented, learner-centric ones. The chapter discusses backward design, modular curricular architecture, and Bloom's Digital Taxonomy to explain AI integration design methods. Case-based applications in STEM, Humanities, Health, and Business demonstrate AI's importance in specializededucation. Faculty preparation, resistance management, and ethical implications of co-creation and professional learning communities are also covered. The final section emphasizes assessment, scalability, and futurist perspectives to ensure institutionalandcurricular readiness. The chapter advocates for thoughtful, ethical, and humanistic AI in education. Copyright © 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.
Universitas Negeri Makassar, Indonesia; Universitas Muhammadiyah, Palopo, Indonesia; Universitas Muhammadiyah Sidenreng, Rappang, Indonesia
