TPACK in the Age of Context and Artificial Intelligence: Punya Mishra on the “Wicked Problem” of AI and Why Algorithms Can’t Replace Context

This scholarly dialogue engages Professor Punya Mishra, co-developer of the Technological Pedagogical Content Knowledge (TPACK) framework, to examine the shifting landscape of teacher expertise in the era of Generative Artificial Intelligence (GenAI). As AI agents increasingly simulate pedagogical roles and generate educational materials, the conversation probes the resilience and necessary evolution of the TPACK model. Mishra argues that rather than diminishing the need for human expertise, the rise of AI makes deep Content Knowledge (CK) more vital than ever to verify and curate the output of algorithmic tools, which he characterizes as “smart drunk interns”; highly capable but fundamentally unreliable. The dialogue highlights the critical importance of Contextual Knowledge (XK) within the framework, emphasizing that the human understanding of specific students and local settings remains a domain where teachers hold a distinct advantage over de-contextualized algorithms. Furthermore, Mishra introduces the concept of “pride in work” as a crucial pedagogical strategy to foster student agency and creativity, serving as a counterbalance to the risks of automated mediocrity and plagiarism. Looking toward the future, the interview offers a critical vision, warning against the potential devaluation of “practical wisdom” and the widening of equity gaps. In all, Mishra suggests that the “Future-PACK” for educators must extend beyond technical skills to include a quasi-political understanding of the complex societal and ethical systems that shape the educational landscape.