
How Teachers Can Spot and Respond to AI-Assisted Student Work
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Educators often face the difficult task of determining whether a student used generative technology on an assignment and how to handle the situation appropriately. Written for teachers in middle school, high school, and higher education, this guide outlines how to recognize indicators of machine-generated text and evaluate work against a student's typical performance. It also covers the limitations of detection software, strategies for documenting concerns, and methods for creating classroom policies that differentiate between proper support and academic misuse.
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