Assistant to the Teacher, Not the Reader

In this episode we explore a sharper way to think about AI in literacy instruction: not as a shortcut that makes texts easier for students, but as a teacher’s assistant that helps educators identify where complex texts may challenge readers.Topics covered:Tim Shanahan’s argument for using AI as a teacher-facing toolHow AI can identify complex sentences and vocabulary in classroom textsThe difference between useful AI analysis and noisy or overly technical outputWhy teacher judgment still matters when interpreting AI suggestionsWhat AI handles well in text analysis — and where it strugglesWhy text complexity is more than a single readability scoreWhat this means for teachers choosing and teaching complex textsSources:https://www.shanahanonliteracy.com/blog/ai-and-the-teaching-of-reading-comprehension-part-2https://app.newsela.com/view/cmlldktks00083b6qi19cz2vu/?levelId=cmlldktor0kt708ncdns10m6r&activityPanel=annotations