The credentialing field is moving beyond pilots and promises toward harder questions of infrastructure, evidence, and institutional execution. As Workforce Pell takes shape, noncredit data systems mature, and learning and employment records move closer to practical use, colleges and universities must determine how credentials connect to educational pathways, employment, and durable value for learners. The resources below offer a timely reading list for leaders working through that shift, with particular attention to common data definitions, interoperable records, outcome measurement, credible skills validation, and the institutional capacity required to scale.
Foundational skills remain the starting point
A new UpSkill America publication offers an important reminder amid growing interest in digital credentials and skills-based systems: learners still need strong foundational capabilities.
Foundational Skills: Early Insights from Employers and Providers draws on interviews with more than a dozen employers, along with education providers and workforce intermediaries. It examines literacy, numeracy, English-language proficiency, and digital skills as the building blocks for job performance, further learning, and career advancement (Miller, 2026).
The implication for credential providers is practical. Institutions should not assume that every learner arrives prepared to succeed in accelerated, digitally delivered, or highly technical programs. Shorter credentials can increase access, but compressed timelines may leave less room to identify and address foundational gaps.
For UPCEA members, that makes foundational-skills support part of credential design, not a separate remedial service. Diagnostic assessment, contextualized instruction, coaching, and referral partnerships may determine whether learners can complete a credential and convert it into opportunity.
Digital does not automatically mean interoperable
The Digital Credentials Commons (now named Digital Credentials Commons) Essential Guide to Digital Credential Interoperability clarifies a distinction that institutions can easily overlook: a credential can be digital without being portable, independently verifiable, or usable across systems.
A PDF, scanned certificate, or badge housed within a proprietary platform may still leave the institution in control of the record and restrict where the learner can use it. The guide explains how standards including the W3C Verifiable Credentials Data Model, Open Badges 3.0, and Comprehensive Learner Record 2.0 support machine readability, verification, portability, and learner control (Lemoie et al., n.d.).
This has direct implications for technology procurement. Institutions should ask prospective vendors whether credentials can leave the platform, whether another compliant system can verify them, what happens if the institution changes providers, and whether learners retain access over time.
The guide was produced with funding from Walmart, with its conclusions attributed to the Digital Credentials Consortium. As with other funded resources, it indicates a particular investment priority. Its explanation of established technical standards, however, provides institutions with concrete questions for evaluating credential platforms.
A common language for noncredit data
Interoperability depends on agreement about what the data mean. The Rutgers Education and Employment Research Center’s Noncredit Data Taxonomy 3.0 and Implementation Guide addresses that problem.
The taxonomy contains 119 elements across program purpose and design, student outcomes, enrollment and demographics, and finance and policy. Recognizing that institutions cannot implement everything at once, it identifies a 52-element core and highlights fields relevant to Workforce Pell (D’Amico et al., 2026).
For institutions, the taxonomy can support a cross-functional data inventory. Continuing education, registrars, institutional research, financial aid, and information-technology teams can use it to determine which elements already exist, where definitions conflict, and what must be added.
A framework for Workforce Pell readiness
The Model Workforce Pell Data Framework approaches the issue from a related policy and accountability perspective.
It organizes information into four pillars:
Employer alignment
Program-level information
Participant-level information
Employment and pathway outcomes
The framework distinguishes between “Essential” elements needed for Workforce Pell compliance and “Important” elements that support consumer information, analysis, and program improvement. It recommends a phased approach: map existing collections, prioritize program-approval data, develop participant-level systems, and then add more advanced elements (Workforce Pell Data Collaborative, 2026).
Together, the taxonomy and framework provide institutions with complementary tools. The taxonomy supports a broad noncredit-data architecture, while the Workforce Pell framework identifies information needed for a specific funding and accountability use case.
Credential transparency is producing implementation examples
Credential Engine’s August review, “Credential Transparency in Action,” shows how shared data standards are being used in state and institutional projects.
Among the examples:
Nine Montana colleges published 323 credentials with information about cost, financial aid, delivery, workforce alignment, and stackability.
Seventeen Ohio community colleges published or updated nearly 4,000 credentials, while a state partner added almost 800 occupations with labor-market information.
Pennsylvania partners connected credential information with regional wage and occupational data.
Bristol Community College published credentials, competency maps, and job-skills information to clarify relationships between curriculum and employer demand (Credential Engine, 2026).
These Gates Foundation-supported projects should be treated as implementation examples, not proof of adoption across higher education. Still, they move the conversation beyond conceptual frameworks by showing what institutions and states are publishing and connecting in practice.
Convergence 2026: The Resources Behind the Credential Innovation Conversation
As Convergence 2026 approaches, the credential conversation is moving beyond individual programs and pilots. The field is increasingly focused on the infrastructure surrounding credentials: foundational skills, meaningful assessment, common data definitions, interoperability, transparency, employer use, and measurable learner outcomes.
Presented by UPCEA and AACRAO on October 13–15 in Washington, D.C., Convergence 2026 brings together continuing and professional education leaders, registrars, workforce teams, technology specialists, and other campus stakeholders working to make credentials more connected and valuable.
The conference’s promotional partners offer a useful window into this wider ecosystem. They include 1EdTech, ACE, C-BEN, Credential As You Go, Credential Engine, the Digital Credentials Consortium, Education Design Lab, HLC, JFF, NGA, NCRN, Strada, UpSkill America, the U.S. Chamber of Commerce Foundation, and Workcred, among others.
These organizations represent different pieces of the credential ecosystem: quality assurance, data standards, employer alignment interoperability, policy, research and institutional implementation. Their participation is not, by itself, evidence that the sector has reached consensus or widespread adoption. It does show that credential innovation now touches a much broader set of institutional responsibilities.
The Convergence opportunity
Taken together, these resources describe a connected progression:
Learners need foundational skills to enter and succeed.
Institutions need meaningful methods for validating what learners know.
Credentials need open standards so they can travel and be verified.
Data need common definitions so different systems can interpret them.
Institutions and states need transparent infrastructure that connects credentials with pathways and outcomes.
This progression also explains why credential innovation cannot remain the responsibility of one office. It requires participation from continuing education, faculty, registrars, financial aid, institutional research, information technology, career services, workforce agencies, and employers.
The October 14 “Promotional Partners Stop & Share” gives Convergence attendees an opportunity to explore these resources directly and compare what partner organizations are learning across the field.
For institutional leaders, the question is no longer simply, “Which credentials should we offer?” The more consequential question is: “What institutional capabilities must surround those credentials so learners can trust them, use them, and build on them?”
References
Credential Engine. (2026, August 4). Credential transparency in action: Highlights from Credential Engine’s Gates-funded partnerships. https://credentialengine.org/2026/08/04/credential-transparency-in-action-highlights-from-credential-engines-gates-funded-partnerships/
D’Amico, M. M., Vinton, J., Boyd, N. S., & Van Noy, M. (2026, June). Noncredit data taxonomy 3.0 and implementation guide. Rutgers University Education and Employment Research Center. https://sndp.noncreditresearch.org/wp-content/uploads/2026/06/EERC_Noncredit-Data-Taxonomy-3.0_June-2026.pdf
Lemoie, K., Walsh, G., Lee, J., Leu, S., & Seely, G. (n.d.). The essential guide to digital credential interoperability: From paper trails to opportunity pathways. Digital Credentials Consortium. https://digitalcredentials.mit.edu/docs/The%20Essential%20Guide%20to%20Credential%20Interoperability%20.pdf
Miller, C. (2026, September 14). Foundational skills: Early insights from employers and providers. Aspen Institute. https://www.aspeninstitute.org/publications/foundational-skills-early-insights-from-employers-and-providers/
UPCEA & American Association of Collegiate Registrars and Admissions Officers. (2026a). 2026 Convergence: Credential innovation in higher education. https://conferences.upcea.edu/convergence2026/
UPCEA & American Association of Collegiate Registrars and Admissions Officers. (2026b). Convergence 2026 conference program. https://conferences.upcea.edu/convergence2026/2026%20Convergence%20Print%20Program%20Final.pdf
Workforce Pell Data Collaborative. (2026, July). Model Workforce Pell data framework: Recommended elements for state agencies and education institutions. https://workforcepelldata.org/downloads/Model%20WFP%20Data%20Framework%20--%2007202026.pdf
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