Since early 2023, artificial intelligence tools have jumped from labs to daily life. They are now found in classrooms, offices, and homes at an unmatched speed. This rapid spread raises a key question for educators: how will AI change learning in all its forms—formal, non-formal, and informal—across K-12 schools and higher education? Because this technology is evolving quickly, clear answers are hard to find. Scholars and practitioners in both the Global South and North are seeking ways to harness its benefits while preventing new inequalities. This blog joins that effort. It collects the latest research, policy discussions, and real-world innovations to show how AI is already changing curricula, teaching methods, and access to knowledge—and where it might lead next.
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This essay traces education’s rapid journey with generative AI from initial bans to strategic adoption. Drawing on global policy moves and usage data, it shows how early scepticism gave way to engagement once AI’s ubiquity—and its risks—became undeniable. The analysis highlights emerging governance frameworks, classroom applications, and the imperative to balance automation with human judgment in order to harness AI’s productivity gains without compromising critical thinking.
This essay traces the rapidly evolving debate over artificial intelligence in education, documenting how global policy bodies, governments, and institutions are moving from abstract enthusiasm or caution to concrete regulation and guidance. Drawing on recent UNESCO, OECD, and other reports, it shows that AI’s classroom integration is now an inevitability; the real challenge is designing policies that harness its pedagogical and economic benefits while safeguarding equity, human judgment, and ethical oversight.
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