Measuring What Matters: From Blunt Sorting to Human Thriving Powered by Multimodal AI
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For over a century, the American education system has compromised its promise by measuring what is easy to score. Trapped in an industrial-era paradigm of end-of-year stock taking, schools are overwhelmingly ‘data rich, information poor’, drowning in metrics while starved for actionable instructional insight.
But what if the most profound promise of multimodal artificial intelligence is fundamentally redesigning the architecture of what processes we focus upon when we measure human potential?
But what if the most profound promise of multimodal artificial intelligence is fundamentally redesigning the architecture of what processes we focus upon when we measure human potential?
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