LER Adoption Will Be Won or Lost in the User Experience
LER infrastructure will not reach its potential unless people receive enough value to participate. Explore why person-facing applications, organizational workflows, trust, and user experience must evolve together.
Why Talent Data Still Cannot Speak Across Systems: STAMP and Semantic Interoperability
Talent systems can exchange data without understanding it. Explore how STAMP approaches semantic interoperability by connecting skills with experiences, evidence, provenance, context, and external frameworks.
Why Enterprises Need Learning and Employment Records—and Why Records Alone Are Not Enough
Learning and Employment Records can give enterprises more trusted, portable talent data—but records alone cannot explain how people, work, and capabilities are changing. Learn how LERs support a broader Human Intelligence Layer.
AI and Data Standards Can Improve Skills-Based Hiring—But Only With Human Context
AI and data standards can make skills-based hiring more structured, portable, and transparent—but they cannot make it fair on their own. Learn how human context, evidence, agency, and accountable judgment complete the system.
Beyond Course Completion: How STAMP Could Make Learning Management Data More Useful
Learning Management Systems can track course completion, but they rarely show how learning becomes demonstrated capability. Explore how STAMP could connect learning activities, outcomes, evidence, skills, and real-world application.
STAMP: A Framework for Mapping Human Capability Across Systems
STAMP is Gobekli’s developing framework for connecting skills with the activities, roles, evidence, time, and context that give them meaning. Explore how it informs the Talent Tree and Human Intelligence Layer.
The LER Ecosystem: Building Human-Centered Infrastructure for Learning, Work, and Opportunity
The LER ecosystem brings together people, institutions, standards, credentials, technology, and policy to make learning and employment information trusted and portable. Explore what each layer contributes—and why the ecosystem must remain centered on the people it represents.
Envisioning the Future of LERs: Bridging the Gap for Workers in 2024
Originally published September 20, 2023. Updated to reflect the continued development of Learning and Employment Records, TalentPass, and…
From Prototype to Public Beta: Gobekli Shares an Early TalentPass at the U.S. Chamber Foundation
In 2023, Gobekli shared an early Universal Talent Passport prototype and insights from focus groups with students, job seekers, and community members. See how that research helped shape today’s TalentPass and Gobekli’s broader Human Intelligence Layer.
Microcredentials Need Translation—Not One Universal Taxonomy
Microcredentials emerge from different industries, institutions, cultures, and competency frameworks. Instead of forcing them into one master taxonomy, the ecosystem needs semantic bridges that preserve local meaning while making credentials, skills, and experiences understandable across systems.