Filtered by tag: workforce development × Clear
5 Lessons for Building Institutional AI Capacity in Resource Constrained Settings
Matched: Artificial Intelligence
Cochise College in rural Arizona is using a $1.87 million federal grant called AI-Powered Success to build AI literacy across its institution and surrounding region. The four-year initiative supports faculty professional development, staff capacity-building, K–12 and industry partnerships, and workforce microcredentials with stackable badges linked to college credit, offering lessons for resource-constrained institutions navigating generative AI pressures.
Technology Officers Navigating ‘Age of Perpetual Change’
Matched: Artificial Intelligence
Chief technology officers at colleges and universities say determining where AI adds genuine value and preparing students for an unstable future are their top priorities, according to new research. The findings reflect what technology leaders describe as an era of constant, accelerating change that requires ongoing adaptation in both institutional strategy and student preparation.
WEEKEND READING: When prestige trumps skills: rethinking excellence in higher education
Matched: AI
Professor David Mba argues that England's skills system overvalues research-intensive universities as the benchmark for excellence, while undervaluing teaching-focused institutions that train nurses, teachers and other professionals. Using the NHS Graduate Guarantee as a starting point, he contends that producing qualified graduates is only part of workforce development — employment, deployment and retention matter equally. He calls for a broader definition of higher education excellence that recognises regional workforce contribution alongside research output.
The Missing Pieces of the Skills Economy are the Skills and the Economy
Matched: AI
The "skills economy" is gaining momentum due to AI, rising college costs, and shifting labor markets, but lacks a shared definition. Skills aren't fixed widgets in a taxonomy — their value is contextual and changes over time. Three distinct meanings of "skill" (economic value, institutional accountability, and foundational learning components) are routinely conflated. What's missing isn't better skill definitions but infrastructure allowing two parties to assess whether a skills match justifies a transaction, supported by portable, evidence-backed credentials.
Digital Credentials, Workforce, and AI
Matched: AI
Chief Strategy Officer at 1EdTech shares evolving views on digital credentials after a year in the role. Key points: existing standards (Open Badges 3, CLR) already support most workforce credential needs; digital credentials are gaining real traction globally despite skepticism; the "LER" concept remains poorly defined while the downstream LER-RS résumé standard is clearer; and AI will lower costs on both supply and demand sides, shifting credential value from issuer reputation toward verifiable proof of skills.