A Credential Is Only as Strong as the Evidence Behind It

A recent Inside Higher Ed opinion piece by Paul Krause, Cornell University’s vice provost for external education, raises a question higher education can no longer ignore: What should a professional certificate actually mean?

His argument is direct. The term “professional certificate” has become too broad. In some cases, it reflects a structured learning experience with expert guidance, human feedback, and evaluated work. In other cases, it reflects little more than a learner moving through prerecorded content and automated quizzes. Both experiences may have value. But they should not always result in the same kind of credential.

That distinction matters because credentials are signals. Learners use them to make decisions about time, money, and career growth. Employers use them to understand what someone knows and can do. Institutions use them to extend their brand, their mission, and their promise of quality. When the same credential language is used for very different learning experiences, trust begins to weaken.

Completion Is Not the Same as Demonstrated Learning

There is nothing wrong with self-paced learning. Many learners benefit from flexible, low-cost ways to build knowledge. Self-paced courses can introduce new concepts, support career exploration, and help motivated learners gain exposure to important skills.

The problem comes when completion is presented as demonstrated competency. Watching videos, passing automated checks, or finishing modules may show persistence and interest. It does not always show that a learner has applied knowledge, received meaningful feedback, or demonstrated a skill at a level an institution is prepared to stand behind.

This is where higher education needs more precision. A learner who completes a self-paced course should receive recognition that accurately reflects the experience. A learner who submits work, receives expert evaluation, demonstrates competency, and completes a structured program should receive a credential that reflects that higher level of validation.

AI Raises the Stakes

AI is making this issue more urgent. New tools can support learners, check understanding, provide simulations, and generate feedback. Used well, AI can make learning more responsive and more scalable.

But AI also makes it easier to blur the line between support and evaluation. If a credential represents an institutional claim about what a learner knows and can do, then institutions need to be clear about how that claim was made. Was there human review? Was the work evaluated by a qualified expert? Were skills demonstrated through evidence? Was the credential based on participation, assessment, proficiency, or formal academic credit?

Those details cannot sit behind the scenes. They need to be part of the credential itself.

The Real Issue Is Trust

The future of credentials depends on trust. More badges, certificates, microcredentials, and learner records will not create value by themselves. The value comes from clarity, consistency, and evidence.

A credential should answer basic questions. Who issued it? What did the learner demonstrate? What skills are represented? What criteria were used? What evidence supports the claim? Was the learning self-paced, instructor-supported, assessed, or credit-bearing? Can the credential be verified?

Without those answers, credentials become harder for learners to explain and harder for employers to trust. With those answers, they become powerful records of learning and readiness.

This Is Where Credential Infrastructure Matters

Institutions do not just need a way to issue digital credentials. They need infrastructure that helps them define, manage, verify, and connect credentials across learning experiences.

That is the role of a Learning and Employment Record. A strong LER does more than collect badges in one place. It gives structure to the full record of learning, including courses, competencies, assessments, achievements, skills, evidence, and career connections. It helps institutions show what was earned, how it was earned, and why it matters.

A Comprehensive Learner Record adds even more context. It helps tell the fuller story of a learner’s academic, co-curricular, and skills-based development. When connected to verified digital credentials and a learner-owned wallet, that record becomes portable, shareable, and useful beyond the institution.

Territorium’s Role

Territorium helps institutions build this kind of trusted credential ecosystem. Through digital credentials, Comprehensive Learner Records, Learning and Employment Records, credential wallets, skills-based assessments, and AI-powered career tools, Territorium helps institutions move from isolated claims to verified records.

That matters because the market is crowded with credential language. Certificates, badges, microcredentials, licenses, acknowledgments, and records are often used interchangeably. Institutions need a way to make each credential precise. Learners need a way to understand what they have earned. Employers need a way to verify what a credential represents.

Territorium’s platform helps institutions make those distinctions clear. A badge can show the criteria behind an achievement. A CLR can connect that achievement to a broader learning record. An LER can connect verified skills to career pathways and opportunities. A wallet can give learners ownership of credentials they can carry, share, and use.

Verified Skills Require Verified Evidence

This is also why skills-based assessment matters. Credentials are stronger when they are based on demonstrated proficiency, not simple participation.

Territorium’s E-Proficiency Profile (EPP) and HEIghten Outcomes Assessment Suite support this shift by helping institutions measure student learning and issue badges based on proficiency. These badges give students verified records of the skills they demonstrated, while helping institutions gather clearer evidence for program improvement, reporting, and outcomes conversations.

That is a different kind of credential signal. It does not simply say a learner was present. It says the learner demonstrated a defined level of skill.

Higher Education Needs Better Credential Language

The next stage of credentialing will require more honesty from institutions. Not every learning experience needs to become a professional certificate. Not every certificate needs to become a badge. Not every badge carries the same level of evidence. And not every learning experience should be described in the same way.

That is not a limitation. It is a path to stronger trust.

When institutions name credentials clearly, define criteria carefully, and make evidence visible, they protect learners, employers, and their own institutional brands. They also make alternative credentials more valuable, not less.

The Future Is Not More Credentials. It Is More Meaningful Credentials.

Higher education has an opportunity to lead this work. As short-term credentials, digital wallets, AI-supported learning, and skills-based hiring continue to grow, institutions need systems that make learning visible and trustworthy.

The question is no longer whether institutions should issue digital credentials. Many already do. The question is whether those credentials clearly communicate what was learned, how it was assessed, who validated it, and how it connects to opportunity.

That is the real promise of the Learning and Employment Record (LER). It turns credentials from disconnected claims into verified records. It gives learners a clearer way to show what they know and can do. And it gives institutions a stronger foundation for building trust in the skills-based future. Learn more!