Shared Language, Clear Pathways: Credits, Costs & Careers

Higher education has a branding problem—but not the kind you might think. Institutions love to brand services, programs and resources with unique, creative names that distinguish them from competitors. Yet this very impulse toward differentiation creates barriers for the learners they aim to serve.

When every institution calls its one-stop student service center something different—from “Success Hub” to “Navigator Center” to “Student Solutions”—learners lose the ability to quickly identify and access the support they need, especially when transferring between institutions.

Consider how other industries grow and scale: They rely on common vocabularies that allow consumers to make informed comparisons. When discussing phones, whether iPhone or Android, we understand the basic functionality and purpose, even as features vary. In contrast, across 4,500 higher education institutions, we see two problematic trends: over-branding identical educational offerings as unique products, and using identical terminology to describe fundamentally different offerings.

The result is an insider vocabulary that forces learners, advisers, employers and even AI systems to translate what should be plain. When language fragments, mobility slows, affordability worsens and the connection between learning and work frays.

This is not an argument for sameness where difference is real. It is a call for common terms where functions are common. Students need to understand what something is, what it does, and whether it counts. If multiple institutions have offerings accomplishing the same purpose, common nomenclature signals that equivalence. If two things are different, their names should make the difference legible. The paradox of our sector is that we frequently invert this logic—over-branding identical offerings as if they are unique, and using identical words to describe fundamentally different things. That inversion is more than a nuisance. It is a structural barrier for all learners, especially the growing number who attend multiple institutions, and workforce and external partners that depend on transparent, comparable information to make decisions.

The One-Stop Problem: When Branding Obscures Function

Consider a recent listserv inquiry asking what institutions call their “one-stop” student service centers. The responses revealed a dizzying array of names, each carefully branded to reflect institutional identity. 

But here’s the critical question: Does this variety serve learners or institutions?

The answer becomes clear when you consider student mobility patterns. When a student transfers from one institution to another—even within the same region—they must relearn the entire vocabulary of student services. What was called the “Success Center” at their previous school might be the “Navigator Hub” at their new one, despite offering identical services.

The vocabulary barrier was manageable when learners attended a single institution. Today’s environment is different; learners attend multiple institutions. The nomenclature problem isn’t just about what institutions call their services—it’s the entire linguistic ecosystem learners must navigate. When basic administrative processes require a glossary, institutions create unnecessary friction at every touchpoint. 

Curriculum Branding: When Marketing Undermines Meaning

The same pattern shows up in curriculum, and the costs are higher. A program called something like “The Future of Statistics” that actually teaches advanced analytics robs learners and employers of clarity. Working adults search for terms they know. Hiring managers scan for recognizable skills and credentials. Evaluators charged with determining transfer equivalency look first to titles and descriptions to understand what was actually taught. When those signals are obscured by idiosyncratic branding, discoverability suffers, interpretation burdens rise, and learners pay in time, money and missed opportunities.

Industry has already demonstrated how to do this well. Consumer technology is breathtakingly complex under the hood, yet cell phone companies meet people with simple, comparable words: phones, plans, coverage, upgrades and straightforward fees. You do not need to understand network engineering to choose a data plan or switch devices. We learned this lesson the hard way with hardware too. Not long ago, everyone carried a different charging cord; traveling meant a bag of adapters and a scavenger hunt around outlets. As the sector converged on a handful of shared ports and protocols, switching and connecting became simple. Fewer adapters. Less confusion. Smoother handoffs. Higher education can borrow directly from this playbook: Establish common names and a small set of shared “ports” for credit, support and progression so learners do not need a translator to enroll, advance or transfer.

The Course Numbering Crisis

In the vast landscape of American higher education, a seemingly simple nomenclature problem creates enormous complexity: course naming and numbering. Across 4,500 higher education institutions, there are roughly 4,000 different course numbering systems and titles, despite the fact that a substantial share of courses cover essentially the same material.

Healthcare makes the consequences of linguistic drift especially visible. Licensure pathways rely on stepped sequences—general biology, general chemistry, physics, anatomy and physiology—with widely shared outcomes and overlapping textbooks. Yet each institution’s course codes, titles and descriptions often cloak equivalence behind bespoke labels. Adult learners who have already mastered the material find themselves sitting through the same content again because a number failed to signal sequence or a title evaded recognition. Graduate and professional school admissions face the same barrier from the other side: transcript reviews and prerequisite verification stretch out because evaluators must translate a thicket of local names before they can match what they know to what they see.

Continuing with the example, medical schools require specific prerequisite courses, and the learning outcomes for these courses are fundamentally the same across institutions. A shared taxonomy—plain names, sensible numbering, agreed baseline outcomes—would reduce transcript autopsies, accelerate admissions decisions and give learners a legible pathway from prerequisite to profession. None of that diminishes institutional identity. It simply removes the friction created by mismatched labels for common work. The amount of time, cost and effort required for application to STEM areas of graduate school, and ultimately, huge workforce gaps, could be greatly reduced.

A common course numbering and prefix system would simplify credit transfer between institutions, reduce the administrative burden of transcript evaluation, accelerate student progress toward degrees, lower costs for both learners and institutions, facilitate smoother transitions between two-year and four-year institutions, and enable clearer pathways to graduate, professional and licensure programs.

The resistance to such standardization isn’t technical. The tools and frameworks for creating such a system already exist. What we need is the collective will to implement a common nomenclature and taxonomy.

The Transfer Crisis: How Nomenclature Drives Time and Affordability

The transfer crisis is, in part, a naming crisis. Only a fraction of credits learners have already earned follow them to the next stop, and even fewer experiences convert to credit. The tragedy is the waste of resources that occur in evaluating transfer credit when a large share of foundational learning—biology, chemistry, physics, introductory accounting, business law—does not vary dramatically across institutions. Without standardization, every transfer credit needs to be reviewed and if it isn’t clear, credit isn’t awarded or it comes across as a free elective which means a transfer learner take similar content twice—costing them time and money.

How Language Shapes AI—and Why It Matters to Learners

The next layer of urgency is technological. As learners use AI to find support, inconsistent nomenclature becomes more than confusing—it becomes invisible. Language models learn by pattern. If your university calls prior learning “Experience Counts,” another calls it “SkillsFirst,” a third says “CPL,” and a fourth buries it under “alternative credit,” even the best AI assistant will fragment results, miss obvious matches, or hallucinate relationships. The learner who asks, “How do I get credit for my work experience?” may get a confident answer that points to the wrong policy—or no answer at all—because your preferred nickname never co-occurred with the generic phrase in your public pages.

The problem extends beyond your website. State agencies, workforce boards and employers are building AI-powered tools to recommend training and recognize credentials. If your terms don’t align with the dominant public vocabulary, your programs and policies won’t get surfaced. Search indices, embeddings and retrieval-augmented generation (RAG) pipelines depend on consistent anchors: the same concept expressed with the same words across documents, pages and datasets. When institutions splinter basic terminology, models cannot reliably connect the dots. The result is biased visibility. Institutions with plainer language gain algorithmic reach; those with cleverness lose discoverability.

Worse, inconsistent terms increase the risk of inaccuracy. If “Recognition of Learning” on one page means portfolio review, but on another it means ACE-evaluated training, and on a third it’s a scholarship name, an AI assistant may infer false equivalences or present incomplete options. Learners—who often ask simple, high-stakes questions at odd hours—are most exposed to these errors. They won’t parse your internal taxonomy. They will trust the top answer, decide whether tonight is the night to apply, and move on if the path looks murky.

The solution infers industrywide nomenclature simplicity: Pick a common primary term—“credit for prior learning”—and use it everywhere as the canonical label. If you keep local brands, pair them with the canonical term in headings and metadata so both humans and models see the linkage. Write course titles and outcomes as if a learner and an AI indexer need to understand them in ten seconds. Publish crosswalks and exemplars in plain language, not PDF tables with idiosyncratic abbreviations. And when building AI assistants, ground them in a controlled vocabulary that maps synonyms to canonical terms, so “CPL,” “PLA,” “work experience credit,” and the program’s nickname all resolve to the same policy and process.

The Strategic Imperative: Alignment Over Differentiation

The irony is profound: Institutions spend millions attending conferences to learn best practices, then return home to implement those practices under unique branded names that make it harder for learners to find them. This cycle perpetuates inefficiency and works against the collective good of higher education.

The path forward requires a mindset shift: from viewing other institutions primarily as competitors to recognizing them as partners in a shared ecosystem. When institutions align on nomenclature for common services and programs, they reduce barriers to student mobility, making it easier for students to access education wherever they are.

Even after the American Association of Collegiate Registrars and Admissions Officers (AACRAO) convened the U.S. Higher Education Nomenclature Committee and proposed a common glossary agreed upon by a wide spectrum of Higher Ed leaders, the nomenclature problem continues as institutions continue to brand themselves and their offerings unnecessarily.

Strategic Branding

This isn’t an argument against all branding—it’s an argument for strategic branding. Brand the things that are genuinely unique to your institution, not the fundamental services and programs that every institution provides. Looking across strategic plans from diverse institutions, you’ll find remarkable consistency in priorities: access, completion, affordability and workforce readiness appear again and again. If institutions share these goals and serve overlapping student populations, why create artificial differentiation in the very services designed to achieve these outcomes?

Conclusion: Simplicity as the Strategy

The irony is that while higher education races to fill societal gaps, it creates new barriers through linguistic confusion. By agreeing to common language, every higher education institution could better serve learners while reducing costs and complexity. Call things what they are. Standardized nomenclature isn’t boring—it benefits all stakeholders. Students make more informed decisions. Institutions reduce costs and spend more time with learners. Industry better understands how programs fit into hiring and promotion pipelines. Technology implementation becomes simpler and cheaper for standard processes.

This isn’t about limiting institutional uniqueness; it’s about creating clarity that allows genuine differentiation to shine through. When we all speak the same language about basic educational components, we can focus on what truly makes each institution special: its approach to learning, its community and its unique contribution to student success.

Calling things what they are isn’t a failure of creativity; it’s a commitment to clarity. It’s recognizing that learners’ time and attention are precious, and that the goal of higher education is to educate, not to market. Because, ultimately, the best brand any institution can build is a reputation for being clear, accessible and genuinely committed to student success.