Our library of articles and AI resources curated exclusively to benefit career centers and career services professionals in higher ed.
Ethical AI for Career Services
Campus recruitment shifts often appear before outcomes decline. This guide covers employer behavior, timing changes, role volume, selectivity, slowdown warnings, dashboard metrics, and how career centers can respond through sharper outreach, programming, and leadership updates.
Ethical AI for Career Services
Professionalism gaps often show up in communication, follow-through, feedback receptivity, and workplace judgment. This guide helps career centers define professionalism clearly, teach it through observable behaviors, embed it across programs, and assess real-world application.
Ethical AI for Career Services
Explore how career centers can help Gen Z students move from campus expectations to workplace realities. Covers employer perceptions, feedback, manager communication, multigenerational teams, flexibility, accountability, and programming updates.
Ethical AI for Career Services
A practical guide for career centers reviewing paid and unpaid internships. Learn how to set policy, evaluate unpaid roles, apply consistent approval criteria, consider student costs and learning value, and decide which opportunities to promote, revise, escalate, or decline.
Ethical AI for Career Services
Discover how career centers can support students after rescinded or delayed job offers through structured triage, first-response advising, employer communication strategies, recovery job-search planning, and internal playbooks that improve institutional readiness.
Ethical AI for Career Services
Explore how modern career centers can operationalize ethical practice through clear governance, equitable service design, responsible AI boundaries, employer policy standards, and confidentiality frameworks that strengthen compliance, reduce institutional risk, and protect student trust.
Ethical AI for Career Services
Explore how college career centers can improve staff performance through structured professional development systems, including role-based learning paths, year-round training cycles, peer calibration, operational consistency, and measurable service delivery improvements.
Ethical AI for Career Services
Explore what a First Destination Survey dashboard should include, with real university examples, essential FDS metrics, reporting views, filters, and practical ideas career centers can use to present graduate outcomes clearly.
Ethical AI for Career Services
Discover how career centers can expand experiential learning through micro-internships. Learn which employers to target, how to pitch value, structure outreach, handle objections, and launch pilot projects that improve student outcomes and employer engagement.
Ethical AI for Career Services
Use these workshop evaluation questions and survey templates to measure what students learned, what they plan to do next, whether they acted later, what blocked progress, and what support they still need from the career center.
Ethical AI for Career Services
Explore how career centers can move beyond disconnected activities to build systems that drive real student progress. This guide covers participation funnels, action-based segmentation, outreach strategies that change behavior, and KPIs that help teams track readiness and improve outcomes.
Ethical AI for Career Services
Explore how career centers can measure appointment no-shows, diagnose why students miss sessions, improve reminders and rescheduling, use drop-ins strategically, and track whether changes are improving attendance and advisor capacity.