Tag: Era

  • Search Everywhere Optimization: Reinventing Student Discovery for the AI Era

    Search Everywhere Optimization: Reinventing Student Discovery for the AI Era

    For decades, the enrollment funnel followed a familiar script: search, click, visit, inquire. That script no longer describes how decisions are made. Strategies that still treat traffic to your school’s .edu domain as the main measure of success are increasingly invisible to the Modern Learner.

    That is because search has broken free from the constraints of the search bar.

    Modern Learners operate in a search everywhere ecosystem, investigating institutions on social platforms, querying AI chatbots, cross-referencing video and scanning third-party sites. The traditional results page has shifted from a static stack of blue links to a verified, AI-driven dialogue. Visibility is no longer about ranking first on a list. It is about being the answer wherever the question is asked.

    This shift demands a new strategic operating system: Search Everywhere Optimization.

    From Search Engine Optimization to Search Everywhere Optimization 

    Website marketing experts at EducationDynamics define Search Everywhere Optimization as a holistic strategy that treats every discovery surface—search engines, AI answers, institutional sites and social media—as one integrated system. It aligns brand, media and experience around a single imperative: remain visible, credible and compelling wherever students ask questions.

    Standing on its own, traditional search engine optimization is now obsolete. Where SEO focused narrowly on technical tactics to rank a specific URL and drive a click, search everywhere optimization manages a decentralized web of signals to influence an answer. SEO chased algorithms to feed a crawler; search everywhere optimization builds reputation to inform a decision.

    This is more than a shift in tactics. It is a shift in mindset.

    In an AI-first environment, institutions that cling to yesterday’s search habits are already falling behind.

    The question is no longer whether to evolve. It is how fast an institution can reinvent its approach to discovery. The next era of enrollment is not about clicks. It is about credibility, visibility and being the trusted answer wherever the question is asked.

    Winning AI Overviews in higher ed with AI Density 

    Google’s AI Overviews. These experiences have rewritten the rules of search in higher ed. They do not just sit above traditional results. In many cases, they replace them. Prospective students now see a single synthesized answer that decides which institutions and programs show up first, frames expectations for cost and outcomes and often ends the search before a site visit ever happens. 

    When an institution is not shaping that answer, AI is shaping it based on everyone else’s signals. 

    EducationDynamics built AI Density to change that equation. 

    AI Density is EducationDynamics’ proprietary metric for AI visibility. It measures how often an institution is cited or referenced inside AI Overviews and related AI answers across a defined set of high-intent queries. Traditional search reports show where a page ranks. AI Density shows whether the institution has a voice in the answer that shapes a student’s decision. 

    High AI Density means AI systems treat the institution as a trusted source. The brand appears more often in AI-generated summaries, carries more weight in organic results and influences more prospects even when no click is recorded. 

    That influence does not live on the .edu domain alone. AI Overviews pull signals from across the ecosystem, including: 

    • Institutional pages and academic catalogs
    • Rankings sites and program directories
    • Student reviews and Q&A forums
    • Reddit threads and other social communities
    • News coverage and employer-linked stories

    Reputation now moves through this full network. Search Everywhere Optimization treats these external surfaces as extensions of institutional storytelling so AI systems encounter a consistent, credible picture of programs and outcomes. 

    In this context, AI Density is not a metric to be sidelined—it is a growth lever. It reveals how deeply institutional signals penetrate AI ecosystems, where gaps exist and which content and reputation investments actually move visibility. Institutions that ignore AI Density allow the AI ecosystem to define their market position without input. Institutions that embrace it begin to control the narrative where decisions are made. 

    Zero-click Search Strategy for a No-Click World   

    The behavior around those AI-shaped answers has its own name. In a search environment increasingly resolved without a website visit, more interactions begin and end on the results page itself. That pattern is zero-click search. 

    A zero-click search strategy starts from that reality. It assumes that visibility and influence must carry real weight even when analytics platforms never record a session. When decisions are shaped inside the search results page (SERP), traffic alone becomes a lagging, partial signal. 

    Across institutions, the same zero-click behaviors keep showing up. Prospective students collect program, cost and outcome basics directly from snippets and AI answers. Calls, map actions and clicks to third-party directories or application portals divert attention away from primary landing pages. Traditional volume metrics then underrepresent how often institutions appear in meaningful moments because the most important interactions never show up as traffic. 

    In this environment, a strategy that still equates “success” with a click-through to a deep program page has fundamentally shifted. 

    In practice, zero-click search strategy within Search Everywhere Optimization comes down to three core moves. 

    • Answer design. Program and outcome content is written in short, self-contained statements that search systems can lift into snippets, quick facts and AI answers without losing meaning. Language mirrors the way Modern Learners actually ask about value, flexibility, support and price clarity, not internal taglines.  
    • Structured data discipline. Key facts – degree type, modality, tuition ranges, locations and application timelines – carry schema markup that supports rich results and quick information panels. Technical health becomes part of the visibility strategy, not a back-end checklist. 
    • Consistency across surfaces. On-site copy, catalogs, Google Business Profiles, marketplaces, ratings sites and partner listings present the same story. In a system where AI reconciles conflicting inputs, inconsistency is a signal to downgrade trust. 

    Under this model, success expands beyond traffic counts. The objective is to shape the decision at the point of the question, click or no click. Institutions that still optimize only for visits are chasing what is left over while the real competition plays out in zero-click moments. 

    Generative Engine Optimization (GEO) and AI-native discovery

    Zero-click moments describe where decisions are resolved. Generative Engine Optimization focuses on how those answers are created. AI is no longer a side feature in search. It sits in the middle of how prospective students evaluate options. They use conversational tools and answer-first interfaces to compare programs, pressure-test timelines and translate affordability into real life. Large language models and answer engines now stand beside traditional SERPs as core discovery channels. 

    Generative Engine Optimization (GEO) is how Search Everywhere Optimization shows up in that layer. Institutional content can no longer speak only to crawlers and rank-based algorithms. It has to feed models that synthesize answers directly on the results page. Program pages, FAQs and resource content carry more weight when they read like direct responses to questions about outcomes, format, pace and support. Differentiators and proof points win when they condense cleanly into a sentence or two, because that is what answer engines lift. 

    Within GEO, Answer Engine Optimization (AEO) targets the experiences where the entire interaction happens inside the result. AI Overviews, featured snippets, people also ask modules and knowledge panels do not wait for a click. They resolve the question on the spot. In that environment, institutional content either fuels the answer or disappears from the conversation. 

    GEO, executed through strong AEO, demands: 

    • Clear question-and-answer structures in program and outcome content 
    • Consistent details across the main site, catalogs, news releases, directories and partner listings 
    • Markup and formatting that help systems recognize and elevate accurate responses

    Generative Engine Optimization does not replace technical SEO. It raises the bar. Content now has to work simultaneously for human readers, search crawlers and answer engines across both click and zero-click interactions. In an AI-shaped discovery landscape, GEO is not an experiment at the margins. It is the standard for institutions that expect visibility to translate into real enrollment performance. 

    What leadership-level execution looks like 

    Zero-Collectively, Search Everywhere Optimization, AI Density, zero-click strategy and Generative Engine Optimization define how visibility works in this market — leadership determines whether that visibility becomes an advantage. 

     Thriving in this environment isn’t about stacking one more tactic on top of yesterday’s strategy. It is about building a presence that students and systems can understand, trust and choose. 

    Institutions gaining ground are not tweaking the old search playbook. They are changing how the institution shows up, how AI interprets it and how teams respond when students lean in. Four execution patterns consistently separate institutions built for this new search-everywhere environment from those still operating on legacy assumptions. 

    Leading institutions organize program pages, FAQs, blogs and resource hubs around the questions students actually ask. Language centers on outcomes, time to completion, flexibility, support and price clarity, not internal jargon or slogan-heavy copy. Content that answers real questions travels farther in search, performs better in AI Overviews and converts faster once students engage. 

    Reddit threads, Google Business Profiles, degree marketplaces, review sites, YouTube channels and TikTok feeds all power the same discovery engine. When tuition details, program formats or admissions timelines conflict across those surfaces, trust erodes and AI systems notice. Institutions that treat external platforms as extensions of their site build stronger credibility in AI-driven answers and in traditional results. 

    National campaigns are resurging, rebuilding brand presence across fragmented markets. At the same time, leading institutions layer precision media that targets local, adult and career-focused learners at moments of high intent. Search Everywhere Optimization depends on both: consistent brand framing at scale and targeted visibility where high-yield audiences search, scroll and ask questions. 

    Search visibility only creates advantage when institutions respond with speed and clarity. Prospects move from consideration to inquiry quickly, often expect admissions decisions in days and frequently enroll at the first institution that meets their needs. When enrollment teams move slowly or inconsistently, the lift from Search Everywhere Optimization and Generative Engine Optimization evaporates and informed students choose institutions that move faster.

    Taken together, these moves separate leaders from the pack. They treat Search Everywhere Optimization as core operating strategy, not a marketing experiment. Institutions that build around real student questions, coherent signals across every surface, smart reach and fast follow-through are not just visible in a search-everywhere world — they are the ones shaping which options feel possible in the first place. 

    Competing in a Search-Everywhere world 

    These leadership patterns sit against a larger reality that will not reverse. Modern Learners have already left the old funnel behind. They are making choices inside AI Overviews, zero-click results, marketplaces and social feeds long before webpage appears. Search will not revert to ten blue links. AI-driven answers will not move back to the margins.

    In that reality, clinging to Search Engine Optimization as a stand-alone strategy means optimizing for a shrinking slice of how decisions are made. Search Everywhere Optimization reflects the environment that actually exists: decentralized signals, AI-shaped discovery and students who expect clear, consistent answers wherever they look. Institutions that build around that reality are not just keeping up with change. They are defining the terms on which students compare their options.

    The next cycle belongs to those who act now. The AI-first, zero-click era won’t wait—and neither should institutions serious about growth. EducationDynamics is committed to helping institutions navigate this evolving landscape and put Search Everywhere Optimization at the center. Contact us to assess your AI Density and build a Search Everywhere Optimization strategy aligned to how students actually decide.

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  • Higher Education Inquirer : End of an Era

    Higher Education Inquirer : End of an Era

    We extend our deepest gratitude to the many courageous voices who have contributed to the Higher Education Inquirer over the years. Through research, reporting, whistleblowing, analysis, and public service, you have exposed inequities, challenged powerful interests, and helped the public understand the realities of higher education.

    Special thanks to:

    Bryan Alexander (Future Trends Forum), Stephen Burd (New America), Ann Bowers (Debt Collective), James Michael Brodie (Black and Gold Project Foundation), Randall Collins (UPenn), Keil Dumsch, Garrett Fitzgerald (College Recon), Richard Fossey (Condemned to Debt), Erica Gallagher (2U Whistleblower), Cliff Gibson III (Gibson & Keith), Henry Giroux (McMaster University), Terri Givens (University of British Columbia), Nathan Grawe (Carleton College), Michael Green (UNLV)Michael Hainline (Restore the GI Bill for Veterans)Debra Hale Shelton (Arkansas Times), David Halperin (Republic Report), Bill Harrington (Croatan Institute), Phil Hill (On EdTech), Robert Jensen (UT Austin), Seth Kahn (WCUP)Hank Kalet (Rutgers), Ben Kaufman (Protect Borrowers)Robert Kelchen (University of Tennessee)Neil Kraus (UWRF), LACCD Whistleblower, Michelle Lee (whistleblower), Wendy Lynne Lee (Bloomsburg University of PA), Emmanuel Legeard (whistleblower), Adam Looney (University of Utah), Alec MacGillis (ProPublica), Jon Marcus (Hechinger Report)Steven Mintz (University of Texas), Annelise Orleck (Dartmouth), , Margaret Kimberly (Black Agenda Report), Austin Longhorn (UT student loan debt whistleblower), Debbi Potts (whistleblower), Jack Metzger (Roosevelt University), Derek Newton (The Cheat Sheet), Jennifer Reed (University of Akron), Kevin Richert (Idaho Education News), Gary Roth (Rutgers-Newark), Mark Salisbury (TuitionFit), Stephanie Saul (NY Times), Christopher Serbagi (Serbagi Law), Bill Skimmyhorn (William & Mary)Peter Simi (Chapman University), Gary Stocker (College Viability), Strelnikov, Theresa Sweet (Sweet v Cardona), Harry Targ (Purdue University), Mark Twain Jr. (business insider), Michael Vasquez (The Tributary), Richard Wolff (Economic Update), Helena Worthen (Higher Ed Labor United), DW (South American Correspondent), Heidi Weber (Whistleblower Revolution), government officials who have supported transparency and accountability, and the countless other educators, researchers, whistleblowers, advocates, and public servants whose work strengthens our understanding of higher education.

    Together, you form a resilient network of knowledge, courage, and public service, showing that collective insight can illuminate even the most entrenched systems. Your dedication has been, and continues to be, invaluable.
    Dahn Shaulis and Glen McGhee

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  • How Can Small Colleges Survive in an Era of Consolidation? – Edu Alliance Journal

    How Can Small Colleges Survive in an Era of Consolidation? – Edu Alliance Journal

    January 5, 2026Editor’s Note: Last week we published a synthesis of insights from Small College America’s 2025 webinar series, featuring voices from seven leaders navigating change, partnerships, and strategic decisions. Here, two expert panelists from the December webinar on mergers and partnerships provide a deeper analytical examination of the economic forces and partnership models reshaping small colleges.

    By Dr. Chet Haskell and Dr. Barry Ryan. During a recent national webinar titled Navigating Higher Education’s Existential Challenges: From Partnerships and Mergers to Reinvention, in which we served as panelists, we were struck by both the familiarity and the seriousness of the questions raised by senior higher education leaders—particularly those concerning the growing consideration of mergers and partnerships. Most were no longer asking whether change is coming, but which options remain realistically available.

    This article builds on conversations from that webinar and complements the recent synthesis of insights shared by our fellow panelists and the college presidents who participated in Small College America’s fall webinar series. Here we examine more systematically the economic forces and partnership models small colleges must now navigate. This article represents our attempt to step back from that conversation and examine more deliberately the forces now reshaping higher education.

    Anyone involved with higher education is both aware and concerned about the struggles of small, independent colleges and the challenges to their viability. Defined as having 3000 or fewer students, more than 90% of these institutions lack substantial endowments and other financial assets and thus are at risk.

    For many of these institutions, the risk is truly existential. Many simply are too small, too under-financed, too strapped to have any reasonable path to continuity. The result is the almost weekly announcement of a closure with all the pain and loss that accompanies such events.

    Why is all this happening? Most of the problems are well known and openly discussed. Since almost all of these institutions are tuition revenue dependent, the biggest threat is declining enrollments. Demographic changes leading to fewer high school graduates are central, a situation exacerbated in many cases by Federal policy changes that discourage international students. But there are many others: excessive tuition discounting leading to reduced net tuition revenue, rising operating costs for everything from facilities to insurance to employee salaries, changes in state and Federal policies, especially student aid policies and restrictions on international students are just some examples.

    The reality is that higher education is in a period of consolidation. After decades of growth beginning after the Second World War, the basic economic drivers of the private, non-profit residential undergraduate institutions are slowing down or even reversing. There simply are not enough traditional students to make all institutions viable. The basic financial model no longer works. If it did work, one could expect to see new institutions springing up. This has not happened except in the for-profit sphere, a totally different model known mostly for its excesses and failures. While there is a place for the for-profit approach, it is not in the small liberal arts college world. This is true for the same reason that the small institutions are under stress: the economics do not work.

    One crucial challenge is simple scale or, rather, lack thereof. Small institutions have fewer opportunities for achieving economies of scale. Unlike larger public institutions (that have different challenges of their own) these colleges cannot have large classes as a significant characteristic of their modes of delivery. Their basic model assumes a relatively comprehensive curriculum provided through small classes, giving a wide variety of choices and pathways to a degree for undergraduates. But the broader the curriculum, the fewer students per program, almost always without commensurate faculty reductions. The economic inefficiency of the current model is clear.

    And there are certain base personnel costs beyond the faculty. Every institution needs a range of administrative personnel (often required by accreditors) regardless of size. Attracting experienced personnel to such institutions is neither easy nor inexpensive.

    The undergraduate residential model is both a key element in the American higher education ecosystem and a beloved concept for those fortunate enough to have experienced it. These schools are often cornerstones of small communities. They have produced an inordinate number of future professors and scholars. For example, a 2022 NCSES study provided evidence of doctoral degree attainment being at higher ratios for graduates of baccalaureate arts and science institutions than for baccalaureate graduates of R1 research universities.* The basic matter of scale is central to the liberal arts institutions’ attractiveness for students who may go on to doctoral study: small classes with high levels of faculty interaction; a focus on teaching instead of research; the sense of intimacy and a clear mission.

    With proper planning and courage, some of these colleges may yet find ways to survive through some form of merger with – or acquisition by – a larger and stronger institution. Further, with sufficient foresight, many other seemingly more solid colleges may find ways to assure survival through other forms of partnerships.

    However, the fact is that only the wealthiest 10% of institutions are not at immediate risk, even though prudence would suggest even they should be considering possible changes in their paths.

    What can be done?

    There have been multiple efforts to reimagine higher education. Some have been based on technology and have led to the growth of various distance or remote models, some quite successful, other less so. MOOCs were going to take over education generally, but have faded. For-profit models have all too often led to abuses, especially of poorer students. Artificial intelligence is at the forefront of current change concepts, but it is too early to assess outcomes. But small residential colleges have resisted such innovations, in part because they are clear about their education model and in part because they often lack the expertise or the resources to take advantage of change.

    Some institutions have sought to mitigate the impacts of their scale limitations through consortia arrangements with other institutions. While significant savings may be achieved through the sharing of administrative costs, such as information technology systems or certain other “back office” functions, these savings are unlikely to be more than marginal in impact.

    Other impacts for a consortium may come from cost sharing on the academic side. Small academic departments (foreign languages, for example) may permit modest faculty reductions while providing a wider range of choices for students. Athletic facilities and even teams may be shared, as well as some academic services such as international offices or career services operations. In the case of two of the most successful consortia, the Claremont Colleges and the Atlanta University Center, the schools share a central library. Access to electronic databases certainly creates an easier and less expensive pathway to increased economically efficient use of critical resources.

    While the savings in expenses may be considered marginal, the true potential in such arrangements is the chance to grow collective student enrollments by offering more options and amenities than would be possible for a single institution.

    However, there are other challenges to the consortium model. A primary one relates to location. Institutions near each other likely can find more ways to take advantage of the contiguity than those widely separated. Examples might be the Five Colleges in Western Massachusetts, the previously noted Claremont Colleges or the Atlanta University Center that links four HBCU institutions in the same city. New examples of cooperation include the recently announce CaliBaja Higher Education Consortium, a joint effort of both private and public institutions reaching across the border in the San Diego/Baja California region.

    A different kind of sharing arrangement is represented by initiatives to share academic programs though arrangements where one institution provides courses and programs to others through licensing agreements and the like. An example would be Rize Education, an initiative that seeks to enable undergraduate institutions to expand and enhance academic offerings through courses designed elsewhere that can be readily integrated into existing curricula, thus avoiding the costs of time and money needed to build new programs.

    At the other end of the spectrum are straightforward mergers and acquisitions. One institution takes over another. Sometimes this is accomplished in ways that preserve at least parts of the acquired school, even if only for political reasons related to alumni, but the reality is that one institution swallows another.

    Another version is a true merger of rough equals. There are numerous examples, one of the best known being Case Western Reserve University in Ohio. In this situation, two separate institutions decided they could both be better together and, over time, they have built an integrated university of quality. A recent example may be the announced merger of Willamette University and Pacific University in Oregon. Such arrangements are quite complex, but may provide a model for certain institutions.

    A third model might be the new Coalition for the Common Good. Initially a partnership of two independent universities, Antioch and Otterbein Universities, the Coalition is built on three principles: symbiosis, multilateralism and mission. The symbiosis involves Antioch taking on and expanding Otterbein’s graduate programs for the shared benefit of both institutions. Multilateralism refers to the Coalition basic concept of being more than two institutions as the goal: a collection of similar institutions. Mission is central to the Coalition. The initial partners share long histories of institutional culture and mission, as reflected in the name of the Coalition itself.

    Other partnership models are possible and should be encouraged. While it is rare to see a partnership of true equals, as one partner is usually dominant, this middle ground between a complete merger or acquisition and consortia should be fertile ground for innovation for forward thinking institutions not in dire straits. Since there is no single approach to such structures, the benefits to participating partners should be at the core of the approach. These partnerships may be able to address the challenge of scale and provide opportunities for shared costs. Properly presented, they should be attractive to potential students and provide a competitive edge in a highly competitive environment.

    The importance of mission and culture

    While the root cause of most college declines and failures is economic in nature, it is all too easy to forget the role of an institution’s mission and culture. Many colleges look alike in terms of academic offerings, yet institutions usually have a carefully defined and defended mission or purpose. These missions are important because they help define the college as more than just a collection of courses. Education can serve many different missions and thus mission clarity is crucial to institutional identify. And identity is one way for institutions to differentiate themselves from competition, while also helping to attract students.

    Mission is also tied to institutional culture. Colleges have different subjective cultures that serve to attract certain students, as well as faculty and staff members. Spending four years of one’s life ought not to be spent in an impersonal organizational setting. There are multiple individual personal reasons for attending one institution instead of another. Most of these reasons are not entirely objective, but instead depend on an individual’s sense of ‘fit’ in the college setting.

    What should institutions be doing?

    The stark reality is that for many smaller institutions the alternative to some sort of partnership is likely to be closure. But closure is not to be taken lightly. The impact of these institutions is far-reaching and the human, educational and community costs are very real.

    All institutions, regardless of financial assets, should be openly discussing their futures in a changing world. As noted, a few may be able to simply proceed with what they have been doing for years. But this luxury (or blindness) is not a viable or attractive option for most.

    Every institution should be looking into the future at its basic model. Is there a realistic path to assuring enrollment and revenue growth in excess of expenses over time? Is there a budget model that provides regular surpluses that can provide a cushion against unanticipated challenges or can enable investment in new initiatives? Are there alternative paths to revenues that can augment tuition, such as fundraising, auxiliary enterprises or the like? And in looking at such questions, an institution should be asking how it can be better off over time with a partner or partners.

    Even institutions that examine such matters and conclude it would be advantageous to engage a partner are faced with daunting challenges. First is determining what is desired in a partner and then identifying one. Some colleges feel bound by geography, so can only think about like institutions nearby. Others are more creative, looking to use technology to enable a more widely dispersed partnership.

    Once a partner is identified, the path to an agreement is arduous, complex, lengthy and costly. Accreditors, the Department of Education, state boards of higher education, alumni, and all manner of other interested parties must be addressed. This requires external legal and financial expertise. This process is excessively demanding of an institution’s leaders, especially presidents, provosts and chief financial officers. Boards must be deeply involved and internal constituencies of faculty and staff must be brought along.

    And once a final agreement is reached, signed and approved, the work has only begun. The implementation of any partnership is also arduous, complex, lengthy and costly. Furthermore, implementation involves deep human factors, as institutional cultures must be aligned and new personal professional partnerships must be developed.

    The fact is that many institutions will either enter into some form of partnerships in the coming years, as the alternative will be closure. Unfortunately, the clock is ticking, and unnecessary delays create limitations on available options and increase risks. Every institution’s path into partnerships will vary, as will the particulars of each arrangement. It is incumbent upon boards of trustees and institutional leaders to face such facts realistically and to devise practical plans to move forward. Not doing so would be a dereliction of duty.


    Dr. Chet Haskell is an experienced higher education consultant focusing on existential challenges to smaller nonprofit institutions. and opportunities for collaboration. Dr. Haskell is a former two-time president and, most recently, a provost directly involved in three significant merger acquisitions or partnership agreements. including the coalition. for the common good, the partnership of Antioch and Otterbein University.

    Barry Ryan is an experienced leader and attorney. has served as a president and provost for multiple universities. He helped guide several institutions through mergers, acquisitions, and accreditation. Most recently, he led Woodbury University through its merger. with the University of Redlands. He also serves on university boards and is a commissioner for WASC.

    Haskell and Ryan are the Co-Directors of the Center for College Partnerships and Alliances, launched by Edu Alliance Group in late 2025. It is dedicated to helping higher education institutions explore and implement college partnerships, mergers, and strategic alliances designed to strengthen sustainability and mission alignment.


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  • Could the Lifelong Learning Entitlement usher in a new era of skills-based curriculum?

    Could the Lifelong Learning Entitlement usher in a new era of skills-based curriculum?

    As it stands the Lifelong Learning Entitlement mostly represents a reorganisation of higher education funding and systems for quite a lot of short term operational pain and very little payoff.

    But for institutions prepared to play the long game, it could represent a real shift in how higher education is configured and how it integrates with the labour market.

    That doesn’t just mean taking existing courses that were designed for three years of intensive study and breaking them up into constituent parts – though in some cases the ability to do that could offer a lifeline for students needing to earn before they can learn. The larger prize on offer is courses that are actively designed for the contemporary labour market, in which the building blocks of the curriculum are skills and work-related competences, rather than academic knowledge.

    Let’s acknowledge from the outset the false dichotomy – knowledge requires skills to acquire and apply it, and skills require a structured context of knowledge to be meaningful and applicable. But the “skills-based curriculum” is gaining traction around the world for a reason: primarily to address a perceived demand among students and employers for learning that is practical and applied, and that prepares students to succeed in the contemporary labour market, which requires a complex mix of technical and interpersonal skills. It promises more than the embedding of in-demand skills into a traditional academic curriculum; skills-based curriculum centres work-based skills as the primary learning outcome.

    Opportunities and risks

    One corollary is that the learning itself becomes more hands-on, project-based, active, and collaborative, in order to foster those skills. Students are very clear from the outset what they are learning to do and what the workplace application will be. As some employers turn to skills-based hiring practices, graduates can readily match their experience to employers’ expectations and demonstrate, with evidence, their competences, reducing the need for a long tail of additional experience to supplement the degree certificate in the name of “employability.”.The focus on authentic learning environments and assessments also goes some way towards AI-proofing the curriculum: AI can be deployed authentically in workplace-relevant ways, not used as a shortcut to evidencing thought.

    This all sounds fantastic and straightforward, even hyper-efficient. The relevance to the LLE’s intention of a more flexible, stackable HE model lies both in the notional desirability of education oriented towards work and employment, and in the efficiency and transparency of the relationship between skills developed through education, and work.

    But there are risks, too, for both providers and students. In the absence of any kind of agreed national (or global) taxonomy of skills, that could allow for a body of practice to develop around the pedagogies and environments that demonstrably allow students to develop them, any provider may claim to offer something “skills-based” with little in the way of evidence or robust quality assurance. In an open market, students may be drawn in by the promise of work-readiness, only to discover that their learning adds up to very little. Skills England has in the last few weeks published a new UK standard skills classification that addresses the first problem; the second remains open for solutions.

    The market for such provision in the UK remains untested; the current premise of the LLE rests on the assumption that existing programmes can be disaggregated meaningfully into modules that simultaneously offer something of value as a short course of study, while also contributing towards a larger qualification. While this may be true in some cases, it certainly will not readily apply to all. Introducing skills as a core outcome, while it may work quite well for a module or short course, opens up the question of which aggregated sets of skills can be said to be meaningful in a journey towards a substantive qualification. This is a significant challenge for higher education as it is currently configured, going far beyond the merely functional and operational, touching on the core purposes and processes of higher education and the need to manage carefully the consequences of bringing “skills” to the forefront of higher education pedagogy.

    More prosaically, all this active, authentic learning doesn’t come cheap, and it requires a strong relationship with employers to deliver, raising questions about whether it is possible to develop a high-quality skills-based offer at scale. And that’s before you start questioning what the regulatory implications might be.

    These risks are only risks, not insuperable obstacles – UK HE providers, such as the London Interdisciplinary School, have adopted a “skills first” model of higher education without incident. While appetite within the sector to develop a more skills-focused offer is variable, there are institutions – such as Kingston University – that have developed an explicitly skills-focused element to complement existing programmes, and others that are interested in the potential for reconfiguring or extending their offer around skills, especially in light of the creation of Skills England and the prospect of a more systematic approach to meeting national skills needs.

    What needs to be true

    But for this model to become more widely embedded across higher education providers, and to realise the potential of the LLE to facilitate innovation in curriculum content as well as delivery, some things that are not currently true will need to become so. At the Festival of Higher Education, together with Ellucian colleagues, we hosted a private round table discussion exploring what a student journey through a more skills-based, “stackable” offer might need to look like.

    Not everything needs to be done collaboratively all the time, but there are moments in which there can be greater strategic advantage in collective innovation than in being the first mover, and significant higher education innovation could be one of them. Working collectively creates greater security both for institutions and students that the offer is well thought through and robustly quality assured, and that it will be legible to prospective students seeking to explore their choices, and have credibility in the labour market. Pooling risks in this way could help to reduce the stakes in making the decision to roll out a novel kind of provision, and potentially allow for some sharing of start-up costs.

    One area that is lacking is better market intelligence – the assumption that there is a sustainable demand for shorter and stackable higher education courses remains unproven, and some investment in exploring the nature of that demand would help institutions to tailor their offer more effectively rather than spinning up provision that is at high risk of failure either because it does not recruit or because it does not adequately meet the needs of the people who are attracted to it on principle.

    In the domain of core learning and teaching there is a need for exploration of the pedagogic frameworks and approaches that can support a high-quality and academically robust skills-based offer. Some degree of consistency in approach to building pathways through programmes designed around skills could offer an alternative to reliance on credit as the currency that notionally allows for portability between providers and in practice is very hard to implement. Retaining student choice and the possibility of personalisation is typically important to students and providers alike, so there is a flexibility imperative there that it would be hard to tackle as an individual provider.

    Accessing this type of higher education, in this way, opens up the question of reimagining the “student experience” and the underpinning systems that can enable institutions to manage it. Students will need clarity about access to work – through placement, internships or joint provision with employers – the relationship between work, learning and skills development, and ultimately who is responsible for their experience. Access to services will need to be tailored to the student, and both students and providers will need to accurately keep track of modules completed, and skills acquired, and when.

    Curriculum management systems will need to allow students to chart their way through a particular pathway and register for modules, while incorporating guardrails to avoid students choosing pathways that add up to, in the words of one attendee, a “smorgasbord of nonsense.” Support for students in mapping or curating their chosen pathways will need to be built in from their very first module, and they would need to be able to request and access a “transcript” that details their skills at the point of completion of any module.

    Skills-based curriculum needn’t be stackable and stackable higher education needn’t be skills-based, but there is clear potential for synergies between the two. Just as skills-based curriculum is unlikely to replace traditional knowledge-based curriculum wholesale, modular study is unlikely to replace the full-time experience. That doesn’t rule out the possibility of significant change though.

    Opinion is divided as to whether the LLE will enable higher education growth through innovation and access to new demand, function to create some ease and flex in a system that will enhance access to those who find engaging with the current system a struggle, or neither (or something else as-yet-unanticipated). But as higher education institutions consider the future, growth and access seem like the right targets to be aiming for. Skills-based curriculum, if developed strategically and thoughtfully, avoiding “innovation theatre,” could be helpful in both cases.

    This article is published in association with Ellucian. Take a glimpse at the technology supporting the future of lifelong learning here.

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  • Preparing for a new era of teaching and learning

    Preparing for a new era of teaching and learning

    Key points:

    When I first started experimenting with AI in my classroom, I saw the same thing repeatedly from students. They treated it like Google. Ask a question, get an answer, move on. It didn’t take long to realize that if my students only engage with AI this way, they miss the bigger opportunity to use AI as a partner in thinking. AI isn’t a magic answer machine. It’s a tool for creativity and problem-solving. The challenge for us as educators is to rethink how we prepare students for the world they’re entering and to use AI with curiosity and fidelity.

    Moving from curiosity to fluency

    In my district, I wear two hats: history teacher and instructional coach. That combination gives me the space to test ideas in the classroom and support colleagues as they try new tools. What I’ve learned is that AI fluency requires far more than knowing how to log into a platform. Students need to learn how to question outputs, verify information and use results as a springboard for deeper inquiry.

    I often remind them, “You never trust your source. You always verify and compare.” If students accept every AI response at face value, they’re not building the critical habits they’ll need in college or in the workforce.

    To make this concrete, I teach my students the RISEN framework: Role, Instructions, Steps, Examples, Narrowing. It helps them craft better prompts and think about the kind of response they want. Instead of typing “explain photosynthesis,” they might ask, “Act as a biologist explaining photosynthesis to a tenth grader. Use three steps with an analogy, then provide a short quiz at the end.” Suddenly, the interaction becomes purposeful, structured and reflective of real learning.

    AI as a catalyst for equity and personalization

    Growing up, I was lucky. My mom was college educated and sat with me to go over almost every paper I wrote. She gave me feedback that helped to sharpen my writing and build my confidence. Many of my students don’t have that luxury. For these learners, AI can be the academic coach they might not otherwise have.

    That doesn’t mean AI replaces human connection. Nothing can. But it can provide feedback, ask guiding questions, and provide examples that give students a sounding board and thought partner. It’s one more way to move closer to providing personalized support for learners based on need.

    Of course, equity cuts both ways. If only some students have access to AI or if we use it without considering its bias, we risk widening the very gaps we hope to close. That’s why it’s our job as educators to model ethical and critical use, not just the mechanics.

    Shifting how we assess learning

    One of the biggest shifts I’ve made is rethinking how I assess students. If I only grade the final product, I’m essentially inviting them to use AI as a shortcut. Instead, I focus on the process: How did they engage with the tool? How did they verify and cross-reference results? How did they revise their work based on what they learned? What framework guided their inquiry? In this way, AI becomes part of their learning journey rather than just an endpoint.

    I’ve asked students to run the same question through multiple AI platforms and then compare the outputs. What were the differences? Which response feels most accurate or useful? What assumptions might be at play? These conversations push students to defend their thinking and use AI critically, not passively.

    Navigating privacy and policy

    Another responsibility we carry as educators is protecting our students. Data privacy is a serious concern. In my school, we use a “walled garden” version of AI so that student data doesn’t get used for training. Even with those safeguards in place, I remind colleagues never to enter identifiable student information into a tool.

    Policies will continue to evolve, but for day-to-day activities and planning, teachers need to model caution and responsibility. Students are taking our lead.

    Professional growth for a changing profession

    The truth of the matter is most of us have not been professionally trained to do this. My teacher preparation program certainly did not include modules on prompt engineering or data ethics. That means professional development in this space is a must.

    I’ve grown the most in my AI fluency by working alongside other educators who are experimenting, sharing stories, and comparing notes. AI is moving fast. No one has all the answers. But we can build confidence together by trying, reflecting, and adjusting through shared experience and lessons learned. That’s exactly what we’re doing in the Lead for Learners network. It’s a space where educators from across the country connect, learn and support one another in navigating change.

    For educators who feel hesitant, I’d say this: You don’t need to be an expert to start. Pick one tool, test it in one lesson, and talk openly with your students about what you’re learning. They’ll respect your honesty and join you in the process.

    Preparing students for what’s next

    AI is not going away. Whether we’re ready or not, it’s going to shape how our students live and work. That gives us a responsibility not just to keep pace with technology but to prepare young people for what’s ahead. The latest futures forecast reminds us that imagining possibilities is just as important as responding to immediate shifts.

    We need to understand both how AI is already reshaping education delivery and how new waves of change will remain on the horizon as tools grow more sophisticated and widespread.

    I want my students to leave my classroom with the ability to question, create, and collaborate using AI. I want them to see it not as a shortcut but as a tool for thinking more deeply and expressing themselves more fully. And I want them to watch me modeling those same habits: curiosity, caution, creativity, and ethical decision-making. Because if we don’t show them what responsible use looks like, who will?

    The future of education won’t be defined by whether we allow AI into our classrooms. It will be defined by how we teach with it, how we teach about it, and how we prepare our students to thrive in a world where it’s everywhere.

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  • How Healthcare Professionals Can Thrive in a Digital Era

    How Healthcare Professionals Can Thrive in a Digital Era

    Dr. Adam Goodcoff | Photos courtesy of MedFluencers

    Influencer and emergency medicine physician Dr. Adam Goodcoff shares insights on embracing AI and evolving career pathways to help healthcare professionals stay adaptable and future-ready.


    As someone who has successfully merged clinical practice with digital innovation, how do you believe emerging healthcare professionals can best position themselves to thrive in this evolving landscape?

    I think the best thing someone who’s coming up or even someone actively practicing now could do is keep an open mind and have a hunger for new skills and knowledge. Look at the way machine learning has come into our lives in the last two or three years. If you had asked a clinician three years ago if they found AI helpful, I don’t think they could even tell you where AI was in the mix. Today, there are tools like the ambient AI scribes and various platforms that are now making their way into healthcare. We need to have hunger and interest in the discovery of these new tools and consider how we could integrate them into our day-to-day workflow. I think having an open mind is the best way to do that. 

    What key skills or mindsets do you think are essential for those entering healthcare today?

    I think the mindset is really one of growth and opportunity. We’re entering a really interesting era, as I mentioned, with AI and medicine and tech enabling the workforce for healthcare providers. Even five years ago, it was an analog specialty. I mean, we were interacting with computers and using some dictation software, but nothing really advanced. In that short time span, we’ve accelerated that so much already. 

    What I would say to the learners and those coming into this career is to be hungry and be open to change. Medicine is well known for being slow to change and slow to adopt, and there are reasons for that; there’s safety and security in the way that we’ve done things. However, now at a time when innovation is so rapid, I think it’s important to consider the ways we might be able to integrate that into our workflow.

    Can you share some examples of how social media and digital platforms have created new career pathways within healthcare that might not have existed a decade ago? 

    I think the beauty around social media in healthcare is that we’ve now created an opportunity to educate our peers and patients in a direct-to-consumer space in a way that is faster and more direct than ever before. It’s really democratized health education. I think it’s an exciting time where real value can be brought and exchanged on social platforms.

    Healthcare workforce shortages are a pressing concern. How can innovative career models like those involving digital health communication help address these gaps while also enhancing patient care? 

    I’d be a bit biased answering this, but I think social media brings visibility to healthcare careers and brings some of the fun and discovery back into a career in healthcare. We have physicians and folks of all degrees really showing what life can be like in various career pathways. I found a lot of success in my own content by creating ways for learners to engage and test their skills and to feel rewarded in a friendly learning environment, where there was no pressure to formally study. That’s what we see at MedFluencers: These physicians and healthcare professionals are excited about reaching the next generation of learners, driving the adoption of new technologies and therapies faster, and getting that information in the right hands.

    Looking forward, what trends or opportunities do you foresee that healthcare students should be preparing for to maximize their impact and career satisfaction?

    I think healthcare careers are changing. From a technology side, there’s tremendous enablement, but also the way that the healthcare system works is constantly evolving. There are certainly things about the system that are broken, but there are things that are being fixed, and I think that goes back to my concept of keeping an open mind and being fluid or open to change around the way that a career looks. When I was in high school and thinking about being a physician, it’s different today than it was then. In an equal amount of time, it will be radically different again. We’re at such a quick evolutionary pace here.

     I’d invest in your own learning, especially understanding a bit more about machine learning and AI. I think it’s become a part of all of our lives, and there are so many folks who just quickly label it AI and write it off. What is the AI doing? Why is it different than traditional search? What are we doing differently with these tools?

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  • ‘End of an era’: Experts warn research executive order could stifle scientific innovation

    ‘End of an era’: Experts warn research executive order could stifle scientific innovation

    An executive order that gives political appointees new oversight for the types of federal grants that are approved could undercut the foundation of scientific research in the U.S., research and higher education experts say. 

    President Donald Trump’s order, signed Aug. 7, directs political appointees at federal agencies to review grant awards to ensure they align with the administration’s “priorities and the national interest.

    These appointees are to avoid giving funding to several types of projects, including those that recognize sex beyond a male-female binary or initiatives that promote “anti-American values,” though the order doesn’t define what those values are.   

    The order effectively codifies the Trump administration’s moves to deny or suddenly terminate research grants that aren’t in line with its priorities, such as projects related to climate change, mRNA research, and diversity, equity and inclusion.

    The executive order’s mandates mark a big departure from norms before the second Trump administration. Previously, career experts provided oversight rather than political appointees and peer review was the core way to evaluate projects.

    Not surprisingly, the move has brought backlash from some quarters.

    The executive order runs counter to the core principle of funding projects based on scientific merit — an idea that has driven science policy in the U.S. since World War II, said Toby Smith, senior vice president for government relations and public policy at the Association of American Universities. 

    “It gives the authority to do what has been happening, which is to overrule peer-review through changes and political priorities,” said Smith. “This is really circumventing peer review in a way that’s not going to advance U.S. science and not be healthy for our country.”

    That could stifle scientific innovation. Trump’s order could prompt scientists to discard their research ideas, not enter the scientific research field or go to another country to complete their work, research experts say. 

    Ultimately, these policies could cause the U.S. to fall from being one of the top countries for scientific research to one near the bottom, said Michael Lubell, a physics professor at the City College of New York.

    “This is the end of an era,” said Lubell. “Even if things settle out, the damage has already been done.”

    A new approach to research oversight

    Under the order, senior political appointees or their designees will review new federal awards as well as ongoingl grants and terminate those that don’t align with the administration’s priorities.

    This policy is a far cry from the research and development strategy developed by Franklin D. Roosevelt’s administration at the end of World War II. Vannevar Bush, who headed the U.S. Office of Scientific Research and Development at the time, decided the U.S. needed a robust national program to fund research that would leave scientists to do their work free from political pressure. 

    Bush’s strategy involved some government oversight over research projects, but it tended to defer to the science community to decide which projects were most promising, Lubell said. 

    “That kind of approach has worked extremely well,” said Lubell. “We have had strong economic growth. We’re the No. 1 military in the world, our work in the scientific field, whether it’s medicine, or IT — we’re right at the forefront.”

    But Trump administration officials, through executive orders and in public hearings, have dismissed some federal research as misleading or unreliable — and portrayed the American scientific enterprise as one in crisis. 

    The Aug. 7 order cited a 2024 report from the U.S. Senate Commerce, Science, and Transportation Committee, led by its then-ranking member and current chairman, Sen. Ted Cruz, R-Texas, that alleged more than a quarter of National Science Foundation spending supported DEI and other “left-wing ideological crusades.” House Democrats, in a report released in April, characterized Cruz’s report as “a sloppy mess” that used flawed methodology and “McCarthyistic tactics.”

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  • Technology ushers in a new era of student transportation

    Technology ushers in a new era of student transportation

    School bus fleets have a deceptively simple mission: To safely transport students to and from their homes, games, field trips, and other events. Achieving that mission is anything but simple, regardless of the size of the school or its vehicle fleet.

    The sheer number of variables a school transportation director must manage is overwhelming. Buses have to be well-maintained and fueled up before hitting the road; drivers must be thoroughly trained and regularly monitored for performance; systems need to be in place to quickly locate buses and the kids on them; and drivers, students, parents, and school administrators need objective tools to help investigate alleged behavioral or safety incidents that take place on board a vehicle.

    Unfortunately, the tools most schools have in place today make achieving all those objectives more challenging, time-consuming, and expensive. For example, most schools lack real-time visibility about the location of buses, often relying on GPS or cell phone and radio calls to drivers. “Right now, most people don’t have any real-time visibility,” said Amber Stanton, senior account executive and team lead focused on the public sector for Samsara, the connected operations technology trusted by organizations across public and private fleets.

    Transportation directors and their staff must also manage a mixture of standalone systems to track buses and ensure student safety. Besides GPS, it is common for schools to have both routing software and cameras to monitor, document, and investigate possible safety incidents. “There’s a chance that some of those systems interact with each other, but it’s not typically a perfect fit,” Stanton said. “There is usually friction.”

    A lack of visibility and simplicity

    That lack of visibility and the need to juggle multiple systems often translates into confusion, frustration, and wasted time and resources. A big reason why: When parents and others can’t confidently pinpoint the location of a bus using an app, they will call the school. “There’s congestion on the phone line because nobody can see where the bus is and they will call to ask,” Stanton said. “It takes time for the transportation to locate the bus and pass that information along – time they could use to do something more valuable, since they have so many other responsibilities.”

    Thoroughly investigating behavioral or safety incidents that take place on a bus is also time-consuming and cumbersome, even if buses are outfitted with cameras. If a student is accused of vaping or bullying, for example, staff must physically pull a DVR (digital video recorder) from a bus, upload footage, and analyze hours of video.

    It doesn’t have to be this way. By adopting Samsara’s telematics and camera solutions, school districts gain a single, connected view of their buses, drivers, and students. The platform links core safety and efficiency systems that schools already use. The result is faster response when incidents occur, less time spent tracking down buses, and a better experience for students, parents, and transportation staff alike.

    Lessons from the road

    With 182,000 students, Gwinnett County Public Schools (GCPS) in Georgia is one of the 10 largest districts in the country. GCPS utilized siloed GPS and camera systems but found that parent complaints and incident investigations took days, sometimes weeks, to resolve.

    GCPS implemented Samsara GPS and AI dash cams across its 2,000 buses. The impact has been dramatic. Investigation times have been sliced in half, from as many as two weeks to just 24 to 48 hours.

    Implementing Samsara also helps address one of the biggest challenges facing transportation directors. “No one can keep drivers right now,” Stanton said. “It’s the number one problem for almost every transportation director I work with.”

    Canyons School District in Utah demonstrates how Samsara can help. With 190 buses serving 30 schools, Canyons had long relied on legacy GPS and camera systems that were unreliable in Utah’s extreme weather. Bus delays, slow video retrieval, and lagging GPS data created frustration for parents, administrators, and drivers.

    Switching to Samsara gave Canyons real-time visibility across its operations and enabled a new approach to safety culture. Dual-facing AI Dash Cams allowed administrators to proactively coach drivers and reduced driver mobile phone usage. Importantly, Samsara enabled Canyons to motivate drivers through recognition and friendly competition, not just discipline. By gamifying safe driving and celebrating strong performance, Canyons improved engagement and retention during a challenging labor market.

    The shift paid off. They improved safety outcomes and driver satisfaction and retention. Which in turn provides relief to the transportation director who oversees drivers and the entire fleet – and who often must drive a route themselves because of staffing shortages. “That person wears 20 different hats. They’re the main point of contact for parents, for students, for drivers, for leadership,” Stanton said. “In the end, transportation directors are looking for relief and more time.”

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  • Reimagining global student enrolment for the AI era

    Reimagining global student enrolment for the AI era

    These new pressures present a chance to rethink how we support students – not just through better systems, but through smarter, more student-centred strategies that prioritise access, equity, and long-term success for both students and institutions.

    Consider this: most institutions still manage their international enrolment efforts through a patchwork of spreadsheets, legacy systems designed for domestic student needs, and manual workflows. This is not for lack of effort, but because the data is inaccessible or buried in unusable formats, making it difficult for institutions to plan strategically, build diverse student cohorts, and respond to shifting market conditions. Your team should be supporting students face-to-face rather than spending days manually reviewing documents.  

    Meanwhile, students and their families have come to expect responsive, seamless, personalized experiences—which our sector is eager to meet, but not yet equipped to deliver.

    These aren’t just technical challenges, they’re barriers to accessibility. When processes like application review or document verification become bottlenecks, it’s students who face delays, uncertainty, and missed opportunities. 

    The answer isn’t just to digitize what already exists. Many institutions have already adopted CRMs, SIS platforms, and digital document tools, but most of these systems were built decades ago and designed for domestic workflows, often operate in silos, and create new complexities instead of solving old ones. 

    Instead, we need to reimagine how enrolment is managed from the ground up. That means moving from reactive to predictive approaches, from fragmented tools to unified ecosystems, and from gut-feeling decisions to ones guided by real-time insights. Experienced educators will always be central to the admissions process; the goal isn’t to replace their expertise, but to empower it with better data and clearer visibility.

    Imagine being able to forecast application volumes, visa approval rates, and enrolment yields with AI-powered precision. Imagine applicants receiving an offer letter in less time than it takes to walk across campus.

    By analyzing millions of data points from government sources, institutional history, and global market trends, your institution can make smarter investments and streamline decision-making. Routine processes can be automated without compromising quality or control. 

    This isn’t a distant future. It’s possible today with the right technology partner.

    The pressures of shrinking budgets, unpredictable policies, and outdated systems aren’t going away. But with the right tools, institutions can turn these challenges into opportunities for growth. And those who embrace this transformation early will gain a significant advantage in attracting and enrolling high-quality, diverse students.

    That’s why we built Capio. As an enterprise platform company focused on international enrolment management we’re pioneering solutions that transform how institutions approach students around the world. Our platform unifies enrolment intelligence, application management, and agent management, training, and compliance within a single end-to-end, AI-powered platform that empowers institutions throughout the international enrolment management journey. 

    Capio brings together everything institutions need to build smarter, more efficient international enrolment strategies on a global scale. From real-time market insights to precise planning tools, our platform replaces guesswork with clarity. 

    Our Insights Dashboard draws from diverse data sources to surface trends and opportunities in over 150 countries. The Application Management System ensures consistent, transparent processing throughout the complete admissions process, reducing student drop-off, and through our training platform,TrainHub, institutions can better engage and empower educational agents while maintaining alignment and ensuring compliance.

    As leaders in international education, we’re faced with a decision. We can continue to patch together solutions and hope to keep pace with growing complexity. Or, we can embrace the opportunity to build an intelligent infrastructure that transforms international enrolment.

    That choice is ours to make.   

    Find out more at www.capio.app.

    About the author:
    Darin Lee is general manager of Capio, bringing over 20 years of experience in educational technology and digital transformation. Previously serving as CIO at the University of the Fraser Valley and VP Technology at Conestoga College, Darin has led major technological transformations across multiple Canadian institutions, giving him unique insight into the challenges and opportunities facing post-secondary institutions and international enrolment teams

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  • The End of the Traditional Student Era: Higher Ed’s New Enrollment Reality

    The End of the Traditional Student Era: Higher Ed’s New Enrollment Reality

    For decades, the term “traditional student” referred to an 18–22-year-old, full-time student living on campus and largely unencumbered by adult responsibilities. That definition may have been true in the past, but today, it’s holding institutions back. 

    Across the country, Gen Z students increasingly look like their older counterparts in how they approach higher education. They’re working while enrolled, choosing flexible learning formats, weighing cost against career ROI, and demanding that programs fit into — not disrupt — their lives. At the same time, adult learners remain a vital audience, and their motivations often mirror those of younger students. 

    For enrollment and marketing leaders, the takeaway is clear: Stop relying on outdated labels and start building strategies for the actual students you serve. 

    The blurred lines between traditional and adult learners 

    Recent Gallup-Lumina research shows that 57% of U.S. adults without a degree have considered enrolling in the past two years, and more than 8 in 10 say they’re likely to do so within the next five years. While adult learners have long valued affordability, flexibility, and career outcomes, these same factors now dominate Gen Z’s expectations. 

    Cost concerns are particularly telling, as highlighted by The CIRP Freshman Survey 2024. The study found that 56.4% of incoming first-year students reported some or major concern about paying for college, with even higher rates among Hispanic or Latino (81.4%) and Black or African American (69.6%) students. 

    Work and life responsibilities are also playing a growing role. Georgetown University’s Center on Education and the Workforce (CEW) reports that between 70-80% of undergraduate students are employed while enrolled, with about 40% working full-time.  

    For many, this isn’t a nice-to-have — it’s the only way they can afford school. 

    Why this matters for enrollment strategy 

    If your enrollment marketing still segments audiences primarily by age, you’re likely missing the mark. Here’s the reality: 

    • An 18-year-old commuter working 30 hours a week and taking hybrid classes might have more in common with a 35-year-old career changer than with a residential peer. 
    • Transfer and degree completer students (36.8 million Americans with some college but no credential) are often juggling similar priorities. 
    • Both groups respond to messaging that clearly connects program design to life balance, affordability, and employment outcomes. 

    The “traditional vs. adult” distinction no longer works for understanding motivations, predicting behaviors, or designing student experiences. 

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    4 Priorities that span generations 

    Regardless of age, today’s students share a core set of expectations that shape their enrollment decisions. These priorities now cut across the full spectrum of higher education audiences. 

    1. Affordability 

      The Gallup-Lumina report states that finances are among the most influential factors in enrollment decisions for unenrolled adults. Cost is also the top reason adults have stopped out of higher education and a leading reason current students consider doing so.  

      Gen Z mirrors this cost-conscious mindset, with many forgoing the traditional four-year route and embracing community colleges or transfer pathways as a lower-cost way to begin their degree journey.

      2. Flexible learning programs 

        Hybrid, online, and asynchronous options are no longer “adult learner perks” — they’re mainstream expectations. Traditional-aged students now seek flexible schedules to balance work, internships, and other commitments, mirroring adult learners. The pandemic accelerated digital comfort across age groups, making flexibility table stakes for recruitment. 

        3. Career outcomes 

          The Gallup-Lumina report shows that 60% of currently enrolled students cite expected future job opportunities as a “very important” factor in choosing to enroll. For stopped-out adult students, career prospects were also the top motivator. 

          Knowing this, institutions should ensure career outcomes are central to program design, marketing, and student advising. Those that clearly articulate skill alignment, employment pathways, and alumni success stories will attract and retain students. 

          4. Work-life balance 

            More students than ever are balancing jobs, caregiving, and other priorities with their academic responsibilities. For adult learners, this has always been true, but for traditional-aged students it’s increasingly the norm.  

            Institutions should respond by offering flexible schedules, targeted support, and streamlined services that help students balance academics with work and family demands. 

            Moving from segmentation to personalization 

            The solution isn’t to erase audience differences but to recognize that motivations and needs cut across age lines. Institutions should: 

            • Use behavioral and attitudinal data (not just demographics) to inform personas. 
            • Map programs to shared priorities, ensuring flexible formats and clear ROI messaging. 
            • Equip enrollment teams to surface emerging trends from student conversations. 
            • Invest in CRM and marketing automation to deliver personalized, timely outreach. 

            The opportunity for forward-thinking institutions 

            Institutions that adapt now can capture a larger share of a changing student market. Meeting the needs of today’s learners, who span generations, life stages, and responsibilities, requires more than minor adjustments. It calls for rethinking how programs are designed, marketed, and delivered to address shared priorities and remove persistent barriers. 

            Consider the following tactics: 

            • Retooling marketing messages to emphasize affordability, flexibility, and career outcomes. 
            • Rethinking program delivery models for a mixed audience. 
            • Breaking down internal silos between “traditional” and “adult learner” recruitment. 

            From outdated labels to modern enrollment strategies 

            The traditional student still exists, but they’re no longer the majority. Today’s demand for higher education comes from learners of all ages and circumstances. 

            The lines are blurred, and the labels are outdated. It’s time to create enrollment strategies that reflect today’s student realities and anticipate tomorrow’s opportunities. 

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            Higher ed is evolving — don’t get left behind. Explore how Collegis can help your institution thrive.

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