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
This guide helps career center teams equip faculty with eight ready-to-use career readiness assignments covering exploration, resumes, interviews, LinkedIn, networking, and skill-gap analysis. Each includes a copy-ready prompt, grading rubric, and verifiable student artifact.
Ethical AI for Career Services
Design a modern Advisor Self-Assessment Tool that reflects today’s realities. Measure proactive triage, GenAI and CRM literacy, feedback systems, and relational communication. Use behavioral rating scales, quarterly reviews, and the 70:20:10 model to turn gaps into measurable impact.
Ethical AI for Career Services
Move beyond one-off workshops and build scalable, curriculum-integrated faculty partnerships. Use assignment swaps, standardized rubrics, and pre/post artifact scoring to generate verifiable data. Prove skill gains, protect budgets, and align career readiness with academic SLOs.
Ethical AI for Career Services
Learn how career centers scale caseload management by replacing reactive advising with triage frameworks, cohort-based models, and structured templates. Discover ways to reduce advisor burnout, improve equity in student support, and build integrated systems that track outcomes.
Ethical AI for Career Services
A practical guide for career centers preparing first-generation students for career fairs. Covers hidden expectations, employer research, attire barriers, recruiter scripts, experience translation, fair navigation, and follow-up.
Ethical AI for Career Services
Virtual advising works best when designed for the medium. This guide outlines digital-first best practices for structuring sessions, co-creating artifacts, reading digital engagement cues, and verifying impact across video, chat, and group formats.
Ethical AI for Career Services
A practical guide to tiered student support in career services, covering routing rules, AI use, peer mentors, group advising, escalation, measurement, and a 30-day pilot for scaling support without overloading advisors.
Ethical AI for Career Services
Learn the industry standards and academic advising best practices shaping advisor training and development in 2026. This guide covers competencies, training programs, coaching, feedback, professional development pathways, and ways to measure advisor growth.
Ethical AI for Career Services
Students are using AI for resumes, cover letters, LinkedIn profiles, interviews, and outreach. This guide helps career teams review AI-generated materials, spot risky claims, teach privacy rules, recommend safer prompts, and keep student work truthful, specific, and employer-ready.
Ethical AI for Career Services
Get six ready-to-edit student outreach templates for common career services follow-ups, including referrals, incomplete tasks, event preparation, missed appointments, workshop follow-ups, and stalled progress. Each includes timing, subject lines, email copy, a short-message version, CTA, and metric.
Ethical AI for Career Services
This guide helps career centers decide where AI can support students, which tasks require advisor review, what red flags to teach, and how to set practical rules for privacy, accuracy, ethics, and student ownership.
Ethical AI for Career Services
Learn how to conduct a student skills gap analysis using job descriptions, evidence audits, prioritization, and 30-60-90 day plans. This guide helps career teams identify what students actually need to develop and turn skill gaps into measurable action.