Extending AI-TPACK: Reframing Teacher Readiness for the Generative-AI Era

Abstract

Abstract: The increasing presence of artificial intelligence (AI) in education presents both opportunities and challenges for K–12 teacher education. As educators prepare students for an AI-driven world, their readiness to integrate generative AI (GenAI) tools into classrooms becomes crucial. Building on the emerging AI-TPACK framework, this paper extends its theoretical scope to the generative era by introducing three novel dimensions including prompt literacy, ethical AI engagement, and teacher-AI-student partnerships, and examining their implications for teacher readiness and professional learning. Guided by three questions on readiness, competency development, and institutional response, the paper synthesizes current research on GenAI integration and proposes a Strategic Roadmap that operationalizes this extended AI-TPACK model through curriculum design, faculty development, and ethically grounded, equity-focused preparation. Together, the extended AI-TPACK model and the Strategic Roadmap position teacher readiness for GenAI as a paradigm shift in educational thought and practice.