Written assignments once stood as the clearest and most trusted way to evaluate students across all levels of education. Academic essays, detailed reports and extensive term papers traditionally signaled how much a student understood while also reflecting the effort invested. Growing reliance on artificial intelligence is rapidly eroding that certainty. Educators now face a landscape in which a machine can produce polished, citation filled academic text in moments. Questions about authenticity are replacing assumptions about authorship. Universities therefore find themselves rethinking evaluation altogether. Instead of judging the written submission as a demonstration of comprehension, instructors must consider whether it simply mirrors the instructions fed into an algorithm. Many institutions are consequently pivoting toward assessments that prioritize human reasoning over machine generated fluency.






