Degrees, Skills, and Structure: Building Credentials That Add Up

By Melissa Peraino 

The debate over postsecondary credentials is often framed as a competition: degrees or skills, traditional programs or microcredentials, classroom learning or workplace experience. Recent developments point toward a more integrated future.

Employers continue to value degrees, but they also want clearer evidence of what candidates can do. California is turning recognition of prior learning into a system-level strategy for reaching working adults. The University of Maryland, Baltimore County (UMBC) is demonstrating the governance required to manage microcredentials as an institutional portfolio.

Together, these signals suggest that credential innovation is shifting from proliferation toward connection. The next challenge is to make degrees, prior learning, and shorter credentials work as parts of one understandable system.

Employers appear to want degrees and demonstrable skills

New Gallup findings complicate the assumption that skills-based hiring will diminish the value of college degrees. In an opt-in survey of 2,500 U.S. employers who make hiring decisions, 80 percent reported preferring candidates with college degrees, regardless of whether the position required one. Forty-eight percent expected artificial intelligence to make degrees more important over the next five years, compared with 26 percent who expected them to become less important.

Inside Higher Ed’s coverage of the findings emphasized the apparent disconnect between public skepticism about college and employer behavior. Lumina Foundation officials interpreted the results as evidence that employers are placing a premium on judgment, critical thinking, communication, and adaptability as AI changes work. They also cautioned that favorable employer attitudes do not give institutions a pass: the degree must continue to represent substantive learning and value.

An earlier 2026 Gallup-Lumina employer study reached a similarly nuanced conclusion. Employers viewed higher education as a central source of talent, but that confidence coexisted with concerns about graduate readiness. The report argued that degrees and credentials will retain labor-market value only when they reliably produce relevant skills at the pace employers require.

Other employer research reinforces the “yes, and” pattern. In the U.S. Chamber of Commerce Foundation’s 2025 New Hire Readiness Report, 89 percent of surveyed hiring managers said they were more likely to hire an entry-level candidate with a relevant industry credential. Four-year college graduates with an industry-recognized credential were also more likely to be viewed as workforce-ready than four-year college graduates without one.

Western Governors University’s 2026 Workforce Decoded survey offers another supporting signal. Seventy-three percent of participating hiring professionals considered degrees important, while 91 percent viewed certificates as valuable indicators of skills. At the same time, 60 percent said AI had made candidates’ actual skills harder to evaluate. This was institution-sponsored research and should be treated as a market signal rather than neutral evidence of sector-wide behavior.

Taken together, the findings do not show that employers have settled on a universal hiring model. The studies use different samples, questions, and definitions of credentials. Most measure reported attitudes rather than observed hiring decisions.

They nevertheless challenge the idea that degrees and shorter credentials are substitutes. For UPCEA members, the stronger strategy may be to use microcredentials, industry certifications, projects, and digital records to make the capabilities developed within or alongside a degree more visible.

Read the latest Gallup findings, Inside Higher Ed’s coverage, the earlier Gallup-Lumina employer report, the U.S. Chamber findings, and WGU’s Workforce Decoded release.

Credit for Prior Learning is moving to the front of the learner journey

Jobs for the Future and the California Community Colleges Chancellor’s Office describe a more proactive approach to Credit for Prior Learning. The goal is to help adults translate military service, employer training, industry certifications, apprenticeships, and other experiences into recognized college credit and credentials.

Credit for Prior Learning is not new. What is changing is where California places it in the learner journey.

California Education Code Section 78093.2, effective in July 2026, calls for a systemwide process that identifies potential CPL candidates during college exploration and admissions. It also directs campuses to evaluate incoming students’ prior-learning documents, build public technology infrastructure, develop faculty-reviewed credit recommendations, and accept transcribed CPL from other community college campuses.

That structure moves CPL beyond a process learners must discover after enrolling. It treats prior learning as information that can shape recruitment, advising, program selection, transfer, and time to completion.

The system is building infrastructure around that policy. The Chancellor’s Office’s CPL Initiative provides technology, training, faculty work groups, counseling resources, and the MAP platform to California’s community colleges. A December 2025 implementation memorandum also tied outcome tracking to MAP and institutional reporting, including the number of students served, credits available, and credits transcribed.

Implementation remains uneven. CalMatters reported in February that California had invested more than $34 million in related work and set a goal of reaching at least 250,000 students by 2030. The public dashboard indicated that more than 40,000 students had received at least one credit for prior learning, but a Chancellor’s Office official estimated that the true figure could be roughly twice that amount because institutional tracking was incomplete.

The Legislative Analyst’s Office identified the same evidence problem. Its analysis found promising national research associating CPL with higher completion and shorter time to degree, but it also noted incomplete California data and recommended stronger reporting before additional investment. The national study cited in the analysis found an eight-year credential-completion rate of 49 percent among adult learners receiving CPL, compared with 27 percent among those who did not. That is an association, not proof that CPL caused the difference.

For UPCEA members, California’s approach matters because it positions CPL as more than an academic exception or registrar transaction. It can become a recruitment, pathway, and employer-partnership strategy. Continuing and professional education units may be especially well positioned to identify learning acquired through noncredit programs and employer training and connect it to certificates and degrees.

The challenge will be ensuring that proactive outreach is matched by faculty-reviewed assessment, consistent credit application, transferability, and reliable outcome data. Recognizing experience creates little value if learners still encounter uncertainty about whether the credit will count toward their next credential.

Read the JFF and California Community Colleges commentary, the Chancellor’s Office CPL overview, the state implementation memorandum, CalMatters’ reporting, the Legislative Analyst’s Office assessment, and California Education Code Section 78093.2.

Microcredential scale requires an institutional operating model

The University of Maryland, Baltimore County announced October 7 that its Microcredential Review Board had approved 20 new offerings across academic courses, professional development, leadership, research, and community engagement. The number is notable, but the stronger signal is the governance structure behind it.

UMBC separates strategic guidance from credential approval. Its Microcredential Advisory Committee includes faculty, staff, students, employers, and other stakeholders who help shape the institution’s overall direction. Its Microcredential Review Board evaluates individual proposals against institutional standards.

Proposals are assessed through a 12-criterion rubric organized around six standards: the credential itself, learning context, alignment, external relevance, stackability, and rationale. Reviewers document whether each criterion is met and provide structured feedback. To be recommended for approval, a proposal must meet at least 85 percent of applicable criteria, either fully or with minor revisions. 

That governance structure supports uses of microcredentials across the institution. A 2026 case study examined seven UMBC implementations spanning academic, co-curricular, and community-engaged learning. The authors describe microcredentials as translators of learning that can make competencies and experiential learning visible without displacing the broader curriculum.

UMBC’s approach also aligns with a broader quality-assurance signal. Updated guidance from the Commission on Colleges and Universities says institutions should maintain published policies explaining the purpose of their non-degree credentials, whether they carry credit, how they appear on transcripts, whether they stack, and whether they transfer. The accreditor also places responsibility on institutions to maintain academic rigor, faculty review, assessment, and institutional control.

For UPCEA members, this is where credential strategy becomes institutional architecture. Scaling is not primarily a matter of purchasing a badge platform or encouraging more departments to participate. It requires shared definitions, approval processes, assessment standards, metadata, communication, technology, and rules for reviewing or retiring credentials.

The announcement of these new UMBC offerings does not yet provide evidence of learner, employment, or mobility outcomes. What they provide is a concrete example of an institution moving from scattered experimentation toward managed portfolio growth. That is a meaningful signal as more universities confront the gap between enthusiasm for microcredentials and the infrastructure required to make them trustworthy.

Review UMBC’s newly approved microcredentials, its governance model and evaluation criteria, the 2026 integration case-study summary, and the Commission’s non-degree credential guidance.

Taken together, these developments suggest that credential innovation is entering a more integrated and disciplined phase. Degrees continue to carry employer value, but institutions need better ways to show what learners know. Prior learning can shorten the journey, but only when recognition is visible, consistent, and portable. Microcredentials can add specificity, but only when institutional governance protects their meaning.

The institutions best positioned for this phase will not necessarily be those that issue the most credentials. They will be those that help learners and employers understand how degrees, prior learning, and smaller credentials fit together and where each can lead next.

References

California Community Colleges Chancellor’s Office. (2025, December 9). Credit for prior learning allocation (FY 2025–26). https://www.cccco.edu/-/media/CCCCO-Website/docs/memo/ess-25-82-credit-for-prior-learning-funding-a11y.pdf

California Community Colleges Chancellor’s Office. (n.d.). Credit for prior learning. Retrieved October 20, 2026, from https://www.cccco.edu/About-Us/Chancellors-Office/Divisions/Educational-Services-and-Support/credit-for-prior-learning/

California Education Code § 78093.2. (2026). Credit for Prior Learning Initiative. https://california.public.law/codes/education_code_section_78093.2

Commission on Colleges and Universities. (2026, June 1). Non-degree credentials. https://commissioncu.org/policies/non-degree-credentials/

Digital Credential Innovation. (2026, October 7). 20 new microcredentials: Countless ways to learn, grow & connect. University of Maryland, Baltimore County. https://my3.my.umbc.edu/groups/badges/posts/163820

Echelman, A. (2026, February 4). California wants colleges to count work experience for credit. How’s it going? CalMatters. https://calmatters.org/education/higher-education/2026/02/college-credit-california/

Flynn, M., & Christian, S. (2026, October 8). Access is not enough: California’s proactive approach to elevating careers via skills-informed degrees. Jobs for the Future. https://www.jff.org/blog/access-is-not-enough/

Gallup & Lumina Foundation. (2026). Aligning education and work: What employers say higher education must deliver. https://www.gallup.com/file/analytics/702833/Lumina-Foundation-Gallup-SOHE_Employer-Report.pdf

Legislative Analyst’s Office. (2025). The 2025–26 budget: California Community Colleges. https://www.lao.ca.gov/Publications/Report/5005

Marken, S., & Malek Ash, A. (2026, October 19). Employers’ confidence in higher education undaunted by AI. Gallup. https://news.gallup.com/poll/715601/employers-confidence-higher-education-undaunted.aspx 

Palmer, K. (2026, October 20). Survey: 48% of employers say AI will make college degrees more important. Inside Higher Ed. https://www.insidehighered.com/news/students/careers/2026/10/20/employers-say-ai-will-make-college-degrees-more-important 

Sullivan, C., & Filomeno, F. (2026). From campus to career: Multi-modal micro-credential integration across academic, co-curricular, and community pathways at UMBC. Research Issues in Contemporary Education, 11(1). https://www.leraweb.net/ojs/index.php/RICE/article/view/211

U.S. Chamber of Commerce Foundation. (2025, September 17). Credentials, skills and experiences. https://www.uschamber.com/workforce/new-hire-readiness-report-2025/credentials-skills-and-experiences

University of Maryland, Baltimore County. (n.d.). Microcredential governance. Retrieved October 20, 2026, from https://microcredentials.umbc.edu/about/governance/

Western Governors University. (2026, September 30). 60% of employers say AI has made real skills harder to evaluate, WGU Workforce Decoded report finds. https://www.wgu.edu/newsroom/press-release/2026/09/ai-has-made-real-skills-harder-to-evaluate.html

AI Disclosure

This post was developed with the support of an AI research and writing assistant. AI assistance was used to identify and review relevant sources, verify facts and citations, explore related evidence and examples, develop and revise draft language, and identify claims that warranted additional scrutiny or qualification. When possible, research was verified against primary or authoritative sources.

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