Schools today generate enormous amounts of data. The difference between collecting it and using it effectively often comes down to quality, access, and context.
When Congress strengthened Title III in the early 2000s, the focus was helping students acquire English and access academic content. That goal remains important, but the classrooms of 2026 look very different from those of 2001.
Purpose-built AI systems can analyze patterns in student performance, identify specific skill gaps, and connect those gaps directly to instructional recommendations. Done well, this doesn't remove the teacher from the equation. It sharpens the teacher's ability to act.
Anthropic has unveiled Claude Opus 4.7, an updated large language model that it says outperforms its predecessor on software engineering tasks, image analysis, and multi-step autonomous work.