1Digital Pedagogy: Reimagining Teaching in the Era of AI and Automation

Digital pedagogy has moved from the periphery of educational innovation to its very center as artificial intelligence and automation reconfigure how knowledge is produced, accessed, assessed, and accredited. This paper argues that digital pedagogy in the era of AI is not merely a translation of traditional instruction into online spaces but a paradigmatic reimagining of teaching, learning, and academic work. It locates the shift at the intersection of four concurrent forces: the algorithmic mediation of content and interaction; the datafication of learning processes; the platformization of curricula, assessment, and credentials; and the ethical imperatives embedded in human–machine collaboration. Rather than treating AI tools as neutral instruments, the paper frames them as sociotechnical actors that shape epistemic practices, redistribute authority, and foreground questions of equity, inclusion, and academic integrity. It examines how generative AI, predictive analytics, and automation are altering instructional design, formative and summative assessment, feedback cycles, and student agency. The argument advances a model of human–AI complementarity in which teachers leverage machine capabilities for personalization, analytics, and routine task automation while intentionally cultivating higher-order thinking, creativity, dialogue, and care—the uniquely human dimensions of education that resist mechanization. The analysis elaborates how classrooms can be restructured around inquiry-based learning, authentic assessment, and scaffolded metacognition to mitigate shortcut learning and surface plagiarism or overreliance on machine-generated responses.