Advances in AI technology provide significant potential to support the kind of highly personalized instruction that can close reading gaps.

K-12 staffing shortages threaten reading instruction–AI can help


Advances in AI and machine learning technology provide significant potential to support the kind of highly personalized instruction that can close reading gaps

The challenges facing K-12 leaders as they start the new school year are enormous. For instance, the latest test results from the National Assessment of Educational Progress (NAEP) show that fourth graders’ average reading skills have dropped by five points on a 500-point scale since the start of the pandemic—the biggest decline in more than 30 years.

This isn’t surprising news, as educators know their students are behind where they should be in terms of basic literacy skills. These skills underpin all other skills that students learn in school; if children can’t read well, then their entire education is at risk.

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