AI systems would ensure that students are evaluated based on actual competency rather than their ability to memorize information for a test

The end of STEM: Why AI-driven education must replace an outdated model


AI systems would ensure that students are evaluated based on actual competency rather than their ability to memorize information for a test

Key points:

  • It is clear that STEM education, as it currently exists, is unsustainable
  • Peering into the digital AI divide
  • Slashing budgets, saving futures: Can AI rescue higher ed?
  • For more news on AI, visit eCN's AI in Education hub

For decades, STEM has been heralded as the gold standard for education, shaping workforce development and national policy. Governments have poured billions into STEM initiatives, universities have expanded their engineering and technology programs, and K-12 institutions have been restructured to prioritize STEM fields over the humanities and social sciences.

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