Next Generation Models for Education
summary
Argues the U.S. must shift to individualized, data-driven schooling, citing 1.3 million dropouts a year and ~50% of graduates unready for college; claims negligible national gains (0.1% on NAEP since 1970) despite more staff and spending. Proposes using low-cost devices, ubiquitous broadband, cloud services, large-scale data mining and adaptive algorithms to personalize learning, run an it.gov challenge with $1,000 prototypes via the National Education Foundation, and achieve two standard deviations improvement toward one-to-one tutoring.
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