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This Quick Fix demonstrates how AI aids first-year students in planning evidence for stronger resumes, implying improved career readiness.
First-year students are routinely told to “build their resume,” but the traditional resume assignment asks them to format experiences they have not yet had. This Quick Fix reframes the resume as a backward-planning tool. Students choose a target role and use AI as a pattern-finder, not a resume writer. Working from an instructor-curated repository of peer pathways sorted by goal, AI helps students see the range of activities, internships, and experiences that appear in strong examples, including paths they had not considered. The student drafts an aspirational but plausible future-dated resume, marks each item as current, in progress, or a future goal, and backward-maps the concrete steps that would build the missing evidence. The deliverable is brief: a target posting, a one-page labeled dream resume, and a three-part forward plan, and the assignment fits one or two class periods. The author has used it across four sections and roughly 280 students over two academic years. By positioning AI before drafting rather than during it, the assignment shifts AI-supported resume work from document production to evidence planning, and makes visible the experiences behind strong applications that some students see early and others see late or not at all.
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Julianne Treme (2026) studied this question.
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