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.

Making up this lost ground while continuing to ensure that students learn grade-level skills is hard enough. But many school systems will be doing this while also facing unprecedented staffing shortages.

While not all states or school systems are grappling with a shortage of qualified instructional staff, many are. Dan Domenech, executive director of AASA, the School Superintendents Association, told the Washington Post: “I have never seen it this bad.” The newspaper reports that 3,000 teaching positions in Nevada remained unfilled as of August 2022, while Illinois had a shortage of more than 2,000 qualified teachers. These staffing shortages are hurting students who need extra reading support in particular, Education Week observes.

The term “perfect storm” tends to be overused, but this really is a perfect storm of challenges for leaders to overcome. Closing the gaps in reading skills requires personalized, one-on-one instruction that schools simply can’t provide if they don’t have enough reading teachers, coaches, and specialists on staff. It’s like trying to win a heavyweight boxing match with one hand tied behind your back.

Fortunately, there is help available. At the same time K-12 leaders are facing these challenges, advances in artificial intelligence (AI) and machine learning technology provide significant potential to support the kind of highly personalized instruction that can close reading gaps and accelerate students’ learning—helping them learn to read faster so they can master grade-level content.

Read more:
How online tutoring helps us close learning gaps and support teachers
4 ways to address learning gaps for underserved students

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