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More schools are using AI for grading, practice, and group work, while teachers stay in charge of lessons and judgment. New rules focus on privacy and honest use.
In short: AI is moving from small trials to regular classroom use, usually as a helper that works alongside teachers.
Many schools are bringing AI into daily teaching through partnerships with education software companies and researchers. The goal is usually not to replace teachers. It is to handle routine work like grading simple questions, tracking progress, and creating practice activities.
A common setup looks like a co-teaching arrangement. AI reviews lots of student work quickly and spots patterns, like which skills a class is struggling with. Teachers then use that information, plus what they know about students’ lives and needs, to decide what to do next.
Examples include adaptive learning tools that adjust practice as a student goes (like a treadmill that changes speed to match you). The World Economic Forum has reported that around 60 percent of teachers already use some form of AI, often for tasks like making practice exercises or organizing feedback.
AI is also being used to support group work, not just individual tutoring. Some tools help teachers run discussions by suggesting questions and summarizing what students said. Others track who contributed to a team project, which can help a teacher notice when one student is doing all the work.
Schools are still working through concerns. These include student data privacy, accuracy (AI can be confidently wrong), and academic honesty when AI can draft essays. A growing approach is to ask students to show how they used AI, such as submitting chat transcripts, and to grade their process, not only the final answer.
Source: NYTimes