Navigating the Intersection of Human Teaching and AI in the Modern Classroom: A Systemic Analysis
Original framing: “Teacher v chatbot: my journey into the classroom in the age of AI – podcast” — The Guardian - Technology
It draws on research about AI efficacy, data bias, and learning outcomes, grounding its claims in peer‑reviewed studies and methodological rigor. The scientific dimension is the strongest, providing concrete evidence for systemic concerns.
The systemic analysis reveals that AI’s classroom entry is not merely a technical upgrade but a convergence of scientific promise, historical patterns of reform, and entrenched inequities.
By weaving Indigenous relational wisdom, cross‑cultural comparison, and future scenario planning, we expose the paradoxes that the trickster lens uncovers: the promise of efficiency masks deeper power shifts. Robust solutions must therefore blend equitable infrastructure, co‑designed pedagogy, teacher empowerment, and community data sovereignty, aligning technological advancement with socially just educational futures.