
By Amy Claire Heitzman, Ph.D.,
Deputy CEO and Chief Learning Officer, UPCEA
How continuing education leaders are turning institutional pressure into possibility
Higher education is under no shortage of pressure. Enrollment volatility, strained financial models, rapidly changing technologies, and evolving learner expectations are forcing institutions to reconsider whom they serve, how learning is delivered, and what sustainability will require.
But pressure does not determine what comes next. Leadership does.
That was the premise of a conversation I had the privilege of moderating at CAUCE 2026 with three thoughtful—and refreshingly candid—continuing education leaders: Christie Schultz, Dean of the Centre for Continuing Education at the University of Regina; Julia Denholm, Dean of Lifelong Learning at Simon Fraser University; and Jo-Anne Clarke, Dean of the Division of Continuing Studies at the University of Victoria.
Our session, “Building Tomorrow’s University Today,” began with a question about agency: What is top of mind as you build the university we need, and how are you harnessing your power? Their answers illuminated something I have been seeing across the United States and Canada: professional and continuing education units are no longer simply responding to institutional change. Increasingly, they are helping universities imagine—and build—their way through it.
Community value is the foundation of sustainable growth
Christie opened with a tension familiar to many continuing education leaders. Universities increasingly look to these units for expansion, growth, and net revenue. Yet, as she put it, “the net revenue thing only exists when we are serving our communities.” Programs succeed only when they are high-quality, useful, and capable of making a real difference.
That distinction matters. Revenue and mission are too often framed as competing forces when, in strong professional and continuing education portfolios, they are mutually reinforcing. Financial contribution is the consequence of creating value—not a substitute for it.
Christie’s example of turning research from the University of Regina’s Child Trauma Research Centre into a microcertificate in trauma-informed pedagogies and practices brought this principle to life. The university mobilized faculty expertise into relevant professional learning, initially for educators and potentially for a wider range of professions. The model connects research, community need, and sustainable delivery rather than treating continuing education as merely a sales channel for existing content.
Her approach to revenue sharing reflects the same clarity: consider who does the work, who assumes the risk, and what infrastructure makes delivery possible. Continuing education units contribute far more than administration. They bring market knowledge, instructional design, promotion, learner support, and the ability to translate expertise into accessible education. Those capabilities are institutional assets and should be valued accordingly.
Lifelong learning must become an institutional design principle
Julia described using her institutional roles to advance a deceptively powerful idea: education does not stop at convocation. By leading university-wide work on additional credentials and the academic program lifecycle, she is helping bring a lifelong-learning perspective into decisions that might otherwise remain bounded by traditional faculties, programs, and student populations.
Her contribution also surfaced a persistent contradiction. Universities rightly defend learning for its intellectual, civic, and human value. But that should not prevent them from helping students understand how their education equips them for work. As Julia observed, learning does not need to be narrowly vocational to develop consequential skills. Institutions should nonetheless give learners the language to explain what they know and can do.
Digital credentials may help make those outcomes more visible, but the deeper work is curricular and cultural. Learning outcomes, skills language, and credential metadata matter because they enable learners to translate an educational experience across settings. They are part of the connective tissue between learning and opportunity.
This is why modularity cannot simply mean producing more short-form offerings. Julia pointed toward internal transfer, noncredit-to-credit recognition, and stackable pathways that can operate within and across institutions. Christie described the University of Regina’s noncredit and microcredential framework, which anticipates possible credit recognition when assessment is embedded. Jo-Anne shared the University of Victoria’s work to create mechanisms through which noncredit learning can be recognized when learners continue into longer credit programs.
Each institution is approaching the work differently, but the aspiration is shared: shorter learning experiences should become doors to further opportunity, not educational cul-de-sacs.
We need a more honest and expansive account of ROI
Our discussion of return on investment revealed both the urgency of measurement and the danger of oversimplification. Enrollment, revenue, margin, repeat business, learner satisfaction, and web engagement all help leaders understand performance. PCO units should know these measures well; financial and market fluency are part of the expertise they bring to their institutions.
But Jo-Anne cautioned against attributing an entire employment outcome to one short learning experience. A learner may complete a microcertificate today and advance eighteen months later because of a combination of education, experience, relationships, and opportunity. The credential may have mattered greatly without being the sole cause.
That observation is especially timely as governments, funders, and institutions seek increasingly precise evidence of workforce outcomes. Accountability is essential, but metrics must remain proportionate to the intervention and attentive to how careers actually unfold.
CAUCE’s work to strengthen sector-wide data collection offers an important path forward, as do Christie’s comments about developing better learner surveys and Julia’s work to define ROI within the academic program lifecycle. Quantitative measures can show scale, progression, and financial contribution. Learner stories can reveal forms of impact that lagging indicators or narrow causal claims may miss. We need both—and we need enough humility to distinguish what the evidence demonstrates from what we merely hope it means.
Institutional friction is not an excuse; it is a design challenge
The panelists were frank about the structures that slow innovation: disconnected credit and noncredit systems, cumbersome approval processes, unclear organizational ownership, and academic units that sometimes attempt to recreate capabilities continuing education teams have spent years developing.
Still, none spoke as if friction were immutable. Jo-Anne described carefully opening pathways between noncredit and credit learning by working first with willing faculty champions. Julia reflected on streamlining an internal approval process that had initially become too detailed and cumbersome. Christie raised a more political challenge: when a continuing education unit succeeds, its work may suddenly appear “poachable” amid financial constraint.
Her observation points to a question larger than organizational turf. If universities want to redistribute resources or responsibilities, they should do so with a clear understanding of the capabilities, labor, and risk behind successful programs. Moving visible revenue without preserving the less visible infrastructure that produced it is not transformation. It is erosion.
The leaders in our conversation instead modeled disciplined coalition-building: start where there is readiness, make progress visible, clarify roles, and use early successes to widen the path. Institutional change rarely arrives through one sweeping decision. More often, it advances through a series of credible openings.
PCO units possess enterprise expertise universities urgently need
One of the most consequential moments in the discussion came when Julia described what her academic program lifecycle work was revealing: continuing studies units know how to cost and price programs, identify meaningful performance indicators, review portfolios, and make difficult decisions about suspension or discontinuance. Traditional faculties do not always possess the same operational fluency.
This is an important reframing. PCO units are sometimes characterized as entrepreneurial because they move quickly or generate revenue. Their deeper contribution is that they integrate academic design, market evidence, learner experience, partnership development, financial stewardship, and delivery operations. They know how to translate an idea into a viable educational offering—and how to determine when it should change or end.
Jo-Anne’s new program and partnership unit at the University of Victoria creates a structured place for working with faculties on emerging ideas while assessing which have genuine potential. Christie’s revenue-sharing models align contribution and risk. Julia’s institutional committee leadership brings PCO knowledge into enterprise decisions. These are not examples of units seeking relevance at the margins. They are examples of universities beginning to use expertise already present within them.
From positionality to indispensability
We closed the session by asking participants to focus not on the campus conditions they could not control, but on their own agency: What are you doing to improve your positionality and your indispensability to your institution?
I keep returning to that question because it resists both defensiveness and passivity. Indispensability is not achieved by declaring that others should appreciate our work. It is built by solving consequential problems, communicating value, forming coalitions, and making institutional aspirations executable.
For professional and continuing education leaders, this moment contains real risk. Successful units may be asked to produce more with less, absorb responsibilities without corresponding investment, or surrender capabilities to structures that do not fully understand them. But the moment also contains extraordinary possibility. The pressures confronting higher education are precisely the ones our field has long been equipped to address: serving learners across a lifetime, designing flexible and relevant education, working across boundaries, understanding markets without abandoning mission, and building sustainable models around access.
Christie, Julia, and Jo-Anne each offered a different expression of that leadership. Christie reminded us that sustainable growth begins with usefulness and community value. Julia showed how lifelong learning can inform institution-wide academic strategy. Jo-Anne urged the field to seize the moment, build the networks, and claim a place at the table—not only for individual units, but collectively.
My own takeaway is that tomorrow’s university will not be built by preserving a rigid distinction between the institution’s academic core and the units that connect it to adult learners, employers, and communities. It will be built by integrating those capabilities into a more responsive whole.
The opportunity is here. Our task is not simply to illuminate hope in higher education, but to give that hope structure: pathways learners can navigate, partnerships that create shared value, operating models that sustain the mission, and institutions capable of learning throughout their own lives.
Acknowledgment
With gratitude to Christie Schultz, Julia Denholm, and Jo-Anne Clarke for sharing their institutional experiences so candidly at CAUCE 2026—and to the Canadian Association for University Continuing Education for creating a community in which colleagues can learn openly from one another. The conversation was inspired in part by UPCEA’s The Future Is Now: Essential Conversations for Building Tomorrow’s University Today, which explores many of these same questions about the role PCO leaders can play in shaping their institutions’ futures.
Amy Heitzman, Ph.D., is Chief Learning Officer and Deputy CEO of UPCEA and an ACE Fellow, leading work at the intersection of research, policy, and innovation in professional, continuing, and online education.
Content was refined with assistance from ChatGPT.
Major Updates
ED Releases Proposed Accreditation Rule; Comments Due September 21
The U.S. Department of Education published its proposed accreditation rule, Accreditation, Innovation, and Modernization: The Secretary’s Recognition of Accrediting Agencies, on August 20, following the AIM negotiated rulemaking committee’s consensus agreement in May (which we previously covered in our May Policy Matters newsletter). The proposal represents a significant reworking of the federal accreditation framework. Among other provisions, it would eliminate remaining geographic-scope distinctions among recognized accreditors, make it easier for institutions to change or use multiple accrediting agencies, strengthen separation and conflict-of-interest requirements between accreditors and affiliated trade or professional associations, and require accrediting decisions to be neutral with respect to viewpoint and ideology, with an exception for agencies with a religious mission.
Perhaps most consequential for institutions, the proposal would also place considerably greater emphasis on student outcomes at both the institutional and program level. Accreditors would be expected to assess measures such as completion, licensure or certification results where applicable, employment outcomes, and educational and economic returns relative to the cost of attendance. The rule also proposes substantial changes to transfer-of-credit practices. For comparable undergraduate coursework earned at another institution accredited by a federally recognized agency, institutions generally would be expected to presume that credit should transfer unless there is an academic or curricular basis for denial. Students denied credit would receive a written explanation and an opportunity to appeal within 15 days.
These provisions deserve particular attention from online, professional, and continuing education units. The proposal would require institutions to disclose whether credit earned through nondegree or noncredit programs may transfer or articulate into degree programs, and it expressly recognizes credit for prior learning as a potential component of student achievement and accelerated completion. It would also direct accreditors not to categorically prohibit or unreasonably restrict certain short-term programs and would scrutinize whether program length is appropriate to the credential being awarded. Taken together, those changes could shift the federal policy environment for stackable credentials, prior-learning pathways, shorter workforce programs, and adult-learner mobility, and could also require institutions to revisit transfer policies, articulation processes, data infrastructure, and their ability to demonstrate outcomes at the individual program level. Critics have mentioned how these proposals could lead to politicizing the accreditation process, allowing for whatever party is in power to change standards for schools and accreditors. Comments on the proposed rule are due September 21, 2026. If finalized on the anticipated timetable (ahead of November 1, 2026), the earliest the regulations could take effect would be July 1, 2027. Read more and submit comments here.
Secretary McMahon Releases “A National Call to Action” for Universities
Following the Trump administration’s unsuccessful 2025 Compact for Academic Excellence in Higher Education, Education Secretary Linda McMahon issued a new, substantially less prescriptive appeal to college and university presidents and governing boards on August 3. The “National Call to Action” asks every postsecondary institution, before the end of 2026, ”to describe to the American public your commitments to rigorous teaching, pathbreaking research, and national service — commitments that make our universities a bedrock institution of the American republic,” and to post those statements prominently on their websites. Rather than prescribing a common set of institutional policies, the letter poses seven questions spanning admissions transparency, free speech and intellectual diversity, affordability and student outcomes, academic rigor in the age of AI, research security, and programs serving national workforce and economic needs.
Importantly, the Call to Action is currently voluntary. During an August 19 Department briefing, officials emphasized that there are no direct penalties or awards associated with participation and described the initiative as not being tied to a specific funding “carrot or stick.” At the same time, when pressed about potential future consequences (including OMB’s pending overhaul of government-wide grant funding processes, which could create a policy risk institutions should watch closely) Department officials did not fully close the door on how an institution’s response (or decision not to respond) could factor into the administration’s broader approach to higher education. Officials stressed that the voluntary nature of the initiative does not mean the Department will “cease to hold institutions accountable in other ways,” and suggested that institutions declining to engage could be viewed as recommitting to what the administration considers a broken status quo. For university leaders, the practical question may therefore be broader than whether the Call to Action is technically voluntary: it is also whether the administration may incorporate these stated priorities into its exercise of discretion over federal funding.
For online and professional education leaders, several of the Secretary’s questions are especially noteworthy. The letter puts explicit emphasis on affordability, program-level value, workforce responsiveness, and academic rigor in the age of AI, areas already receiving increased attention elsewhere in federal policy. Institutions considering a response may want to inventory the evidence they can already point to around adult learner outcomes, transparent pricing, workforce-aligned programming, teaching and assessment practices, and the value delivered by individual programs. Even institutions that ultimately choose not to issue a formal response should view the letter as a useful indicator of the themes the Department is likely to continue emphasizing as part of its higher education policy agenda. Read the letter here.
Other News
- ‘Radical Reform’: Trump Official Explains New Plan to Get Colleges to Change (The Chronicle of Higher Education)
- DOD Demands 30 American Universities Audit Foreign Partnerships (Inside Higher Ed)
- U.S. Department of Education Approves the Nation’s First Workforce Pell Grant Program in Iowa (U.S. Department of Education)
- Senate panel OKs bill to block Education Department’s postsecondary office transfer (Higher Ed Dive)
When a budget review lands on your desk, line items for professional association memberships are often the first to draw scrutiny. The question from leadership is reasonable: What do we actually get for this? For online and professional continuing education units, the honest answer is usually “a great deal” — but only if you can express it in numbers your CFO recognizes.
Below, we offer a simple, repeatable return on investment (ROI) calculator framework for calculating the return on a UPCEA membership, built around four measurable inputs and a plug-and-play worksheet you can adapt for your own team. The goal is to move membership out of the “nice to have” column and into a defensible investment that pays for itself.
Why Membership ROI Needs a Clearer Formula
Many membership renewals get justified with vague language: “great networking,” “stays current on trends,” “good for morale.” While these statements are true, they are easy to cut precisely because they sound optional.
The Problem With Treating Membership as a Soft Benefit
In other words, when membership is framed as a soft benefit, it competes against everything else in the discretionary budget and usually loses. The deeper problem is that the real value (e.g., savings, avoided costs, hours returned to staff) is happening, but nobody is tracking it. Without a formula, that value stays invisible and, in turn, the easiest to eliminate.
What Counts as Measurable Value for Higher Ed Teams
For a higher education team, measurable value falls into categories your finance office already understands:
- Hard dollar cost savings
- Recovered staff time priced at a loaded hourly rate
- Costs avoided through better decisions
- Staff retention savings when you keep skilled people instead of replacing them
Each of these can be estimated with reasonable assumptions and defended in a budget conversation. The trick is reasonable, documented estimates that a skeptical reviewer would accept. Once you frame association membership this way, the conversation shifts from, “Is this worth it?” to presenting the math.
The Four Inputs in a Simple Membership ROI Calculator
Member Pricing Savings on Events and Professional Development
The most direct input is the member pricing discount your team receives on conferences, webinars, certificate programs, and workshops. UPCEA members pay special pricing on professional development programs and all conferences and events, and those event discounts add up quickly across a team.
To calculate this input:
- Count the number of staff who attend UPCEA events in a typical year.
- Multiply by the per-event savings.
- Add the discount on any professional courses or the Enterprise Leadership Certificate your team pursues.
For units that send several people to one or two annual conferences, this single line often covers a meaningful share of the membership cost.
Time Saved Through Templates, Benchmarking, and Resource Libraries
The second input is recovered staff time. Rather than building strategic plans, marketing frameworks, or program proposals from scratch, your team draws on UPCEA’s resource library of research, tools, presentations, and best practices. When a director can pull existing benchmarking data instead of commissioning original research, the hours saved are real and priceable.
Estimate these time savings by listing the recurring projects your team runs — like annual planning, new program proposals, competitive analysis — and assigning an honest estimate of hours saved per project. Multiply those hours by a loaded staff rate (salary plus benefits, often 1.3 to 1.4 times base pay).
Avoided Costs From Better Decisions and Fewer Mistakes
The third input is the cost of mistakes you don’t make. Launching a program that fails, pricing a credential incorrectly, or investing in the wrong technology can cost an institution tens of thousands of dollars. Access to peer data, research and consulting, and a community that has already navigated the same decisions reduces the odds of an expensive misstep.
This input is harder to pin to an invoice, but you can estimate it conservatively: If membership helps your team avoid even one bad decision every few years, prorate that avoided cost annually. A single corrected assumption on enrollment projections or program viability can dwarf the entire membership fee.
Staff Retention Value From Learning, Networks, and Career Growth
The fourth input is retention. Replacing a mid-level professional typically costs a significant fraction of their annual salary once you account for recruiting, onboarding, and lost productivity. Member benefits like mentorship programs, career resources, and professional networking through a peer group make staff feel connected and supported in their field, which contributes directly to retention and staff engagement.
To estimate this input, take your team’s annual replacement cost for one position, estimate the share of retention you can reasonably attribute to professional growth and connection, and prorate it. Even a small attributed percentage produces a number worth including.
How to Build Your UPCEA ROI Worksheet
Step 1: List the Team Members Who Will Use the Membership
Because UPCEA institutional membership covers everyone who works at the institution, team membership starts with listing each person who will realistically use it, including:
- Conference attendees
- Staff who tap the resource library
- Leaders pursuing a certificate
- Anyone active in the CORe community
Naming people makes the value concrete and prevents you from undercounting. A membership used by eight people delivers very different ROI than one used by only one.
Step 2: Estimate Savings, Time, and Decision Value by Category
For each of the four inputs, fill in a conservative dollar estimate using the methods above. Keep your assumptions visible and labeled so a reviewer can follow your logic. List the hourly rate you used, the number of events attended, and the hours saved per project. A simple table works well:
| Input | Estimate | Assumptions |
| Member pricing savings | $ | Events × per-event discount |
| Time saved | $ | Hours saved × loaded rate |
| Avoided costs | $ | Prorated cost of one avoided mistake |
| Retention value | $ | Replacement cost × attributed share |
Step 3: Compare Total Estimated Value Against Membership Cost
Sum the four inputs and divide by your annual dues, which vary by Carnegie Classification and enrollment. The result is your ROI ratio. If your total estimated value is three or four times your dues (a common outcome for active teams), you have a clear case for budget justification. Even a conservative worksheet that lands at a 1.5x return is a defensible argument because it shows membership pays for itself before counting the benefits that resist measurement.
Where UPCEA Membership Creates Team-Level Value
Benchmarking and Research for Budget Asks and Planning
UPCEA’s research and benchmarking studies strengthen exactly the budget planning conversations where data wins arguments. One dean noted that “UPCEA research and benchmarking were key to increasing capacity in continuing education” and developing new programs systematically. When you walk into a planning meeting with peer data behind your budget ask, you are far more persuasive than you would be with internal numbers alone.
CORe and Peer Networks for Faster Problem-Solving
The CORe community platform connects more than 15,000 members in a 24/7 peer community where you can post a question and get answers from people who have solved it before. That shortcut of reaching someone who has already done the thing you are attempting is where much of the time-saving and mistake-avoidance value actually lives. It turns isolated problem-solving into collective problem-solving.
Events, Webinars, and Professional Development for Shared Learning
UPCEA’s conferences, webinars, and workshops give your whole team a shared vocabulary and current knowledge base, and webinar recordings in the library mean staff who miss a live session can still catch up on their own schedule. Increasingly, that shared learning includes practical guidance through resources like the UPCEA AI Hub — which centralizes primers, research, and training on applying artificial intelligence across enrollment, student success, and credential innovation. These fast-moving topics are where staying current has direct operational value.
How to Make the ROI Case Internally
Translate Benefits Into Budget, Strategy, and Capacity Language
When you present the case, speak your leadership’s language. Frame member pricing as budget savings, benchmarking as strategic advantage, and time saved as added capacity without new headcount. Lead with the worksheet total and the ROI ratio, then let the four inputs serve as supporting detail. Decision-makers in higher education leadership respond to a number that fits their mental model of cost and return instead of merely a list of features.
Present a 90-Day Plan for Using the Membership Immediately
Pair the numbers with a short activation plan so leadership sees value materializing fast. A concrete plan signals that the membership will be used — which is the real difference between value on paper and value realized. In the first 90 days, for instance, you might:
- Register the team for an upcoming event.
- Onboard everyone to CORe.
- Pull two benchmarking reports for current planning work.
- Enroll one staff member in a certificate program for their own leadership development.
Discover Higher Education Membership ROI for Yourself Through UPCEA
Membership ROI is not a mystery; it is just usually uncalculated. By breaking value into four measurable inputs (pricing savings, recovered time, avoided costs, and retention), you can build a worksheet that turns a soft renewal request into a clear financial case. For units focused on online education, where the field shifts constantly, that documented value is especially worth making visible. Run the numbers honestly, document your assumptions, and pair the total with a 90-day activation plan. In most cases, the math makes the argument for you.
Ready to build your case? Explore everything included on the UPCEA membership page and start plugging real numbers into your worksheet today.
FAQs: UPCEA Membership ROI Calculator
1: How do you calculate UPCEA membership ROI?
Calculate membership ROI by comparing the estimated value of cost savings, staff time saved, better decisions, avoided mistakes, and retention benefits against the cost of membership.
2: What should be included in a UPCEA membership ROI calculator?
An UPCEA ROI calculator should include member pricing savings, event and professional development use, benchmarking value, time saved through resources, peer community value, and team participation across roles.
3: How can membership help justify budget requests?
Membership can support budget requests by giving teams access to benchmarking data, peer examples, research resources, and professional development that provide outside context for planning and investment decisions.
4: How does peer networking create measurable value?
Peer networking can save time by helping teams troubleshoot problems, compare approaches, avoid preventable mistakes, and find models that other institutions have already tested.
5: Why should staff retention be part of the ROI model?
Staff retention matters because professional development, mentorship, leadership pathways, and peer connection can improve engagement and help employees see a clearer path for growth.
6: How can a team use UPCEA membership in the first 90 days?
A team can start by assigning members to relevant networks, reviewing benchmarking resources, using webinar recordings for staff learning, asking questions in CORe, and tying event attendance to specific strategic goals.
Three years ago, I joined my first UPCEA event without knowing many people in the room. Today, Drieam is a UPCEA Silver Partner, and I’ve lost count of how many Coffee Chats, webinars and conversations that partnership has led to. What has stayed consistent across those three years is not the format of the conversations, but what they have taught me about what it means to actually be part of a community, rather than simply attending one.
Research can show us what is changing in continuing education. A strong community helps us understand what that change actually means to institutions and their people.
Some of the most valuable conversations in continuing education do not happen on a conference stage. They happen in the smaller moments, when people bring an unfinished question, share something that has not quite worked yet, or recognize their own challenge in somebody else’s story.
I was reminded of that during a recent UPCEA Coffee Chat. These are informal conversations, but the people taking part are often responsible for some very important work. They are building new programs, responding to workforce needs, supporting different types of learners, and trying to make all of that sustainable inside institutions that are already managing a great deal of change.
I still occasionally catch myself wondering whether the question I want to ask will be relevant to everyone in the room. Perhaps that is a little bit of impostor syndrome, even after more than a decade of working in education technology. But that is also precisely why these conversations matter. A real community creates room not only for polished answers, but also for the questions people are still working through.
Institution-led conversations feel different
There are many valuable technology conferences and user events in higher education. I attend them, learn from them, and genuinely enjoy them. But they are usually led by a company or shaped around a particular product ecosystem.
An institution-led community has a different starting point. The conversation begins with the reality institutions are facing, whether that is changing learner expectations, AI, employer engagement, financial pressure, internal governance, fragmented systems, or the challenge of scaling (continuing) education without simply adding more work for already stretched teams.
That changes the role of a technology partner too.
We should not enter these spaces simply to explain what our platform can do. We should be there to listen, learn, ask useful questions, and contribute patterns we have seen across institutions. Because we work with many different teams, countries, and technology environments, we may hear several versions of the same challenge. That gives us an opportunity, and a responsibility, to connect ideas that might otherwise remain separate.
One institution’s experience can help another avoid starting with an empty mixing bowl. The recipe will never be exactly the same, because every institution has its own learners, structure, culture and constraints. But the ingredients are often much more familiar than we first expect. That is one of the things I did not expect, the added value of me joining these conversations as well, even though I am not part of an institution myself. Through Drieam’s work with continuing education teams across the US and internationally, I can often bring a pattern from one or more institutions into a conversation where another institution is facing the same thing. The positive response to that has been one of the most unexpected and rewarding parts of being here!ed
Research gives us a map, community adds the landscape
This is also why the research shared through communities such as UPCEA is so valuable. Recent UPCEA work, including its Predictions 2026: Insights for Online & Professional Education and Benchmarking Online Enterprises: Insights into Structures, Strategies, and Financial Models in Higher Education, gives leaders a view of the larger forces reshaping the sector.
Research helps us see the patterns. Community conversations help us understand how those patterns appear in practice.
A report may show that governance, funding, learner demand or technology is changing. A conversation can reveal what that means on Monday morning for a small continuing education team trying to launch a new program, serve an employer partner and improve the learner experience at the same time.
That exchange also makes the research more useful. Someone may share a finding from UPCEA, ListEdTech, Instructure, D2L or an independent analyst. Another person may connect it to what is happening at their institution. Someone else may recognize the same pattern in another country or learner population. Suddenly, separate pieces of information begin to form a much clearer picture.
That is when research stops being something we simply read and becomes something we can act on and I really value being able to put those things together.
Technology partners need to learn across ecosystems
At Drieam, working across both the Instructure and D2L ecosystems has widened the range of institutions and perspectives we can learn from. Engaging with institutions using different learning environments gives us a broader view of the opportunities and challenges continuing education teams encounter as they work to scale their programs.
The value of that perspective is not only technological. It helps us understand more clearly where the LMS and other technologies fit, which capabilities matter to online, hybrid, and on-site learners, and what institutions need around the learning experience to make continuing education work operationally.
No single company has the full view. Institutions, associations, researchers and technology partners each see a different part of the landscape. We make better decisions when those perspectives meet.
Community is something you practice
For me, being part of a community cannot be something we do only when there is time, or when we have something to announce. It means showing up consistently, contributing what we know, and being honest about what we are still learning.
I keep doing it because I almost always leave with a new question, connection, or insight that helps me see our work differently.
Those conversations have also reinforced my belief that the next chapter of continuing education will require institutions to think beyond individual courses and programs toward the infrastructure that allows lifelong learning to scale: across learner types, employers, modalities, systems, and credentials. Technology partners have a role to play in that transition, but only if we stay close enough to institutions to understand the problems worth solving.
That is what I appreciate so much about UPCEA. It brings together people who may sit on different sides of the education ecosystem, but who are working towards a shared goal: helping institutions create meaningful, sustainable opportunities for people to keep learning throughout their lives.
If we believe in lifelong learning, we should practice it ourselves. We should keep listening, keep sharing, and keep making connections between what research tells us and what institutions experience every day.
That is how expertise becomes useful. It is how trust grows. And it is how a professional network becomes a real community.
I cannot wait to see what other interesting conversations and events will happen and where I can learn even more.
Warm regards,
Mieke Ridderhof, CMO and Managing Director at Drieam, the makers of Eduframe.
Eduframe by Drieam is the Continuing Education SIS & Registration Platform for Canvas LMS and D2L Brightspace. It helps professional, continuing, and online education units attract and convert more non-traditional learners by making it easier to discover and sign up for programs, while giving staff the tools to manage courses, learners, and processes more efficiently. From the first learner touchpoint through course completion and certification, Eduframe streamlines operations, automates manual tasks, and creates a seamless experience for both learners and staff.
Mieke Ridderhof, Chief Marketing Officer & Managing Director, NORAM/APAC at Drieam, has been in the EdTech space for over a decade and has had the pleasure of working with Higher Ed and Continuing Education institutions all over the world. She is passionate about the role education plays in helping people build skills, advance their careers, and stay ready for a changing world. Her work focuses on understanding the challenges institutions face as they expand lifelong and continuing education, and on finding practical ways technology can help them deliver better experiences for both learners and the teams supporting them. She loves hearing how institutions around the world are approaching lifelong learning and using those insights to understand emerging trends, challenges, and opportunities.

By Vickie S. Cook, Ph.D.
The first article in this series explored how the updated UPCEA Hallmarks of Excellence in Digital Learning Enterprises reflect the evolution of digital learning from a specialized initiative into an institutional opportunity and responsibility. As digital learning has become woven into strategic planning, enrollment management, academic affairs, and institutional sustainability, another question becomes evident in the institutional life cycle.
How do institutions intentionally create the conditions that enable learners to succeed?
The updated Hallmarks answer that question through two closely connected domains: Instructional Support and Learner Support. The Hallmarks intentionally present these as distinct areas of responsibility, yet institutions are most effective when they are viewed as complementary components of a single learner-centered ecosystem. Learners rarely distinguish between instructional support and learner support. They simply know whether they were successful and whether the institution provided the support they needed along the way. From a learner’s perspective, course design, faculty engagement, advising, accessibility, academic resources, technical assistance, and timely communication are experienced as one connected educational experience. Institutional organizational charts may separate these functions, but learners do not.
Designing the Conditions for Learner Success
Higher education has long invested in improving individual components of the learner experience especially at the undergraduate level. Institutions strengthen advising, expand tutoring, introduce new learning technologies, enhance faculty development, redesign courses, and improve accessibility. Yet meaningful learner success rarely results from excellence in one area alone. Instead, learner success reflects the degree to which these efforts are strategically connected.
Institutional intentionality is the difference between offering excellent individual services and creating an educational environment in which instructional support and learner support reinforce one another. That distinction becomes increasingly important as institutions serve learners whose educational experiences are more varied than ever before. Students move easily between online, hybrid, and face-to-face instruction. Many balance careers, families, military service, and other responsibilities while pursuing their education. They expect consistency regardless of instructional modality because, from their perspective, they are attending one institution, not navigating multiple administrative systems.
The Hallmarks recognize that learner success is shaped as much by intentional institutional design as by individual learner interactions. This intentionality requires a broader institutional perspective. Rather than asking whether instructional design is effective or whether learner support services are available, institutions are encouraged to consider how intentionally they have designed the overall learning environment that leads to success.
Putting the Hallmarks into Practice
One of the strengths of the updated Hallmarks of Excellence in Digital Learning Enterprises is that they encourage institutions to think beyond individual functions and toward shared enterprise-level responsibility. Instructional Support focuses on creating learning environments grounded in evidence-based teaching practices, meaningful faculty support, accessibility, and continuous course improvement. Learner Support extends that commitment by ensuring learners have equitable access to the academic, technological, and personal resources that enable persistence and achievement.
Viewed separately, these Hallmarks describe important institutional responsibilities. Viewed together, they describe something larger. They describe an institution intentionally designed for learner success. For institutional leaders, this perspective changes the conversation. Instead of evaluating isolated offices or services, institutions begin examining how effectively people, processes, technologies, and policies work together to support learners from their first interaction with the institution through orientation, course engagement, advising, persistence, completion, and continued professional growth. This shift reflects institutional maturity by recognizing that learner success depends less on individual services and more on how those services are designed to work together. It also reflects a growing recognition that learner success is not the responsibility of any single office. It is the outcome of an intentionally designed learner-centered enterprise.
Measuring Progress
The updated Hallmarks deliberately move beyond describing effective practice by identifying measurable indicators of institutional progress. The accompanying Key Performance Indicators provide institutions with practical benchmarks for evaluating how effectively instructional support and learner support work together to advance learner success. Instead of viewing these indicators as a checklist, institutions should consider using them to guide meaningful conversations about continuous improvement.
Among the conversations that might be considered are:
- Do instructional support and learner support reflect a shared institutional vision for learner success? Is this true for both undergraduate and graduate students?
- Are faculty supported in designing high-quality learning experiences across instructional modalities?
- Do learners receive consistent, accessible support throughout their educational experience?
- Are learner outcomes routinely evaluated to inform improvements in instruction, services, and institutional decision-making?
- Does evidence demonstrate that these efforts contribute to persistence, completion, learner satisfaction, and educational quality?
Collectively, these benchmarks help institutions evaluate not simply whether services exist, but whether they are intentionally connected in ways that improve learner success.
Leadership Reflection
If you viewed your institution through the eyes of a new learner, where would you find evidence of an intentionally designed learning ecosystem? Where might unit or office boundaries still shape the learner’s experience more than the overall institutional purpose?
Continue the Conversation …
To explore the Hallmarks in greater depth:
- Download the UPCEA Hallmarks of Excellence in Digital Learning Enterprises.
- Review the Key Performance Indicators for Hallmark 3: Entrepreneurial Initiatives and Hallmark 4: Instructional Support.
- Register for the upcoming Hallmarks webinar series:
- September 9 at 1:00 PM Eastern: External Advocacy & Professionalism
- September 22 at 1:00 PM Eastern: Technology & Digital Innovation
Vickie Cook is a nationally recognized higher education leader specializing in enrollment strategy, online and digital learning, organizational transformation, team development, and leadership growth. She currently serves as a Senior Fellow and Strategic Advisor for UPCEA, and is a Contributing Editor for the Hallmarks of Excellence in Digital Learning Enterprises.
Why bringing workforce development into the conversation from the beginning can change the role universities play in economic growth.
Imagine building a university because you’re building an industry.
I recently spent time in Malaysia meeting with university and business leaders, and that idea stuck with me.
We talk constantly about aligning higher education with workforce needs. Usually, though, we’re talking about making something that already exists more responsive. A new skill is in demand. An employer can’t find enough talent. An industry is growing. Then we get to work.
What I saw in Malaysia made me wonder: what if we started the workforce conversation earlier?
Malaysia: Starting With the Workforce Need
Multimedia University (MMU) is a great example.
When Malaysia was developing the Multimedia Super Corridor in the 1990s, attracting technology investment wasn’t enough. Someone had to develop the people who would actually do the work. Telekom Malaysia was tasked with establishing a university in Cyberjaya, and MMU’s campus became part of the country’s larger technology ambition.
Think about that sequence. The economic strategy and the talent strategy weren’t separate conversations.
I saw that mindset again at Asia Pacific University of Technology & Innovation (APU). Founded as the Asia Pacific Institute of Information Technology, APU has technology, industry relevance and employability deep in its roots.
Malaysia certainly hasn’t solved every workforce challenge. No country has. What interested me was the starting point.
Workforce wasn’t the follow-up conversation.
The United States: We’re Really Good at Responding
The United States has terrific examples of universities and community colleges working alongside employers and regional industries. I’ve spent much of my career working in and around those partnerships.
But I’ve also seen the other version.
An employer can’t find people with a particular skill. A new technology changes the job. A region attracts a new industry. Then everyone scrambles to close the gap.
And we’re good at it. Maybe too good.
Because being good at responding can keep us focused on the question immediately in front of us: How do we close this skills gap?
Maybe the better question is: How do we get there before the gap opens?
Get to the Table Earlier
That’s what I brought home from Malaysia.
What if higher education and workforce leaders were at the table when regions were thinking about the industries they wanted to attract and businesses were deciding where to invest?
That changes our role. We’re no longer just building programs in response to economic development. We’re helping create the conditions that make economic development possible.
For higher education leaders, I’d ask one simple question: when your institution talks about regional growth, emerging industries and economic opportunity, when does workforce development enter?
I didn’t leave Malaysia thinking we should copy its model. I came home questioning our sequence.
If we’re waiting for the skills gap to tell us what to build, we’re already playing from behind.
Dan Cavalli Senior Director, Academic Partnerships at ISACA and will be appearing at the 2026 Convergence conference with Louisiana Tech University & University of Canada West, & University of Texas Dallas. ISACA helps colleges and universities embed globally recognized IT credential content into IT and non-IT degree programs. With credential-ready content, built-in support, and global credibility, ISACA’s academic partnerships help institutions prepare students for careers, not just graduation. Learn more at www.isaca.org/academic

By Bruce Etter
Picture the classic upward promotion. A bigger title, a nameplate on a new door, an invitation to the standing meeting that used to happen without you. But the levers you actually needed to run the thing, budget authority, decision rights, a team you can call your own, sometimes stay right where they were before the move. The address is new. The job, mostly, is the same.
That is one of the main takeaways from UPCEA’s 2026 Benchmarking Online Enterprises (BOnES) study. Online enterprises are becoming increasingly administratively centralized. Most online enterprises (57%) now reside within the provost’s office. While high-performing enterprises exist in other locations too, the overall pattern is unmistakable: online learning is increasingly being invited to the table where institutional strategy is set. The BOnES data reveals a question quietly asked; does that seat comes with the authority, resources, and governance to match?
When an institution places its online enterprise in the same suite as the senior academic officer, it signals that digital learning is not a side project. But the survey also reveals what the invitation didn’t come with. Eighty percent of Chief Online Learning Officers (COLOs) report that institutional leadership has indicated online learning is a strategic direction for their institution. And yet, the single biggest challenge cited to enterprise success is strategic direction and governance itself (21%), ahead of even funding and resources (19%). This disconnect between the strategy of the institution and the operationalization of that strategy yields considerable tension. It costs an institution nothing to say online learning matters. It costs something real to hand over decision rights, budget authority, and reporting lines to match.
That gap is felt acutely in the scope of what today’s online enterprise is expected to hold up. Responsibilities include instructional design (87%), accessibility (72%), faculty development (72%), marketing (70%), recruitment (70%), and many more that, anywhere else in the university, would each justify a department of their own. Even when the actual service provided by the enterprise is leveraged throughout the University, such as LMS administration, OPM management, or the helpdesk, the enterprise is often the one funding the function. Broad responsibility, dispersed employment, and central accountability is a difficult combination to sustain without control over the operating levers.
Fees offer one of the clearest illustrations of that missing control. Roughly half of institutions (51%) assess an online or distance education fee, most often on a per-credit basis (74%). Yet in only 6% of cases does the online enterprise itself set the amount. Half the time (50%) that decision sits with institutional central administration, and another 27% with system administration. The enterprise responsible for the outcomes tied to that fee has almost no say in what the fee actually is.
The field has also begun to sort itself into groups pulling ahead and groups bracing for contraction. Forty-one percent of respondents expect their budgets to increase next fiscal year, at a modest median of 5.0%. Twenty-three percent expect decreases, with the median expected cut at 10.0% in 2026, double the 4.8% expected in 2025. The share expecting no change dropped from 53% to 36%, meaning institutions are getting clearer about their financial trajectories even when that clarity points toward contraction. The revenue side sorts the same way. Median revenue is up from $11 million in 2025 to $16 million in 2026, and unlike the average, which is pulled around by outliers, the median tells you the typical enterprise really is bringing in more. However, the rising tide is no longer lifting every boat. The share of enterprises clearing two dollars of revenue per dollar budgeted has climbed from 32% in 2024 to 36% in 2025 to 43% in 2026, even as the median ratio barely moved.
The uncomfortable truth in that sorting is that investment is a precursor for efficiency, not a reward for it. The enterprises pulling ahead were resourced early and grew into what the resourcing made possible, not the other way around. The enterprises bracing for cuts are being asked to demonstrate returns before their institutions have handed them the tools to generate them. When governance ranks as the number-one barrier ahead of funding itself, it is because online leaders understand that budget conversations held without clear authority tend to end the same way: with the enterprise doing more with less, until “less” becomes a cut.
Which brings the corner office metaphor back around. A seat closer to institutional leadership is a real signal that online learning has been taken seriously, but visibility and authority are not the same asset. Being closer to the decision-maker is not the same as being the decision-maker. Absent an intentional handoff of governance, resourcing, and decision rights to match the new address, the corner office becomes a stage rather than a seat. The enterprise becomes accountable for outcomes it does not fully control, and its leaders start playing defense on institution-wide issues that were never uniquely theirs. Fifty-five percent of COLOs already say academic integrity issues get raised in the context of online learning before any other modality, even though we know that academic integrity issues (AI) impact traditional programming as well. That is what an unresourced corner office looks like from the inside.
The report’s five recommendations are best read as one argument delivered in five moves. Convert strategic priority into resourced authority. Resource and govern the enterprise you have already built. Understand your operating model before negotiating budget. Report up with the median, not the average. Do not let your enterprise absorb institution-wide risks alone. Each insists on the same discipline: the resourcing has to match the responsibility. The administrative centralization visible in this year’s BOnES data is a genuine signal that digital education is part of the institution’s strategic direction. Whether that signal produces more than a symbol depends on whether the resourcing follows it.
The corner office has been offered. The door has been opened. The question BOnES leaves institutional leaders sitting with is whether they intend to hand over the keys.
Bruce Etter serves as the Senior Director of Research and Consulting at UPCEA, where he leads the development and management of research initiatives for UPCEA’s Research and Consulting division and its clients.
Adult learners have gradually become one of the most important populations in higher education. Roughly 3.9 million students over the age of 25 were enrolled in undergraduate programs in fall 2023, and adult learners now make up at least 40% of total higher ed revenue. Yet many institutions still serve them with structures built for 18-year-olds moving through campus in a single, linear flow.
When a working parent enrolling in an online program hits a wall, the problem is rarely one bad office. It’s the spaces between them — the handoffs, delays, and conflicting policies that emerge when registrar, finance, marketing, faculty, and student support each optimize for their own work rather than the learner’s journey.
The following guide presents a practical framework for moving from siloed functions to a connected system that adult and online learners can actually navigate.
Why Adult Learners Expose Campus Silos
Adult learners arrive with full lives. The majority are employed full or part time while studying, and nearly half have reported caring for children or other dependents.
They’re also cost-conscious: In EAB’s 2025 survey of more than 8,000 adult learners, respondents ranked cost as the single most important enrollment factor, and 60% had ceased to consider a school altogether because a program seemed too expensive.
Adult Learners Need Speed, Clarity, and Flexibility
These students don’t have the slack to chase down answers across three departments during business hours. They need fast responses, clear information about tuition and financial aid, and the flexibility to act on their own schedule. When an institution can’t deliver that, adult learners notice.
Why Traditional Campus Workflows Often Create Friction
Many campus workflows were designed around a traditional student who shows up in person, follows a prescribed sequence, and has time to absorb institutional complexity.
Adult learners break that assumption. Research on adult persistence consistently points to institutional barriers as major obstacles, such as:
- Inflexible schedules
- Admissions and academic advising systems that are hard to navigate
- Limited faculty availability
Meanwhile, “institutional responsiveness” emerges as a significant predictor of whether adults stay enrolled. When each office runs its own process, the learner becomes the integration layer, manually carrying information from one silo to the next. That friction is a persistence risk that undermines student retention.
The Core Offices That Shape the Adult Learner Experience
Registrar, Finance, and Student Accounts
These offices control the mechanics that make or break momentum, encompassing:
- Transfer credit evaluation
- Registration
- Billing
- Financial aid disbursement
For a returning adult with prior credits, a slow or opaque process at the registrar’s office can stall enrollment before it starts, and confusion in student accounts only adds to the drag. Given that cost is the top deterrent for both prospective and returning learners, unclear billing or aid timing can gradually cause someone to drop out of the process.
Marketing, Enrollment, and Admissions
Marketing and enrollment management shape the first impression and set expectations. Adult learners research differently and make decisions based on intent (e.g., career advancement, reskilling, or personal fulfillment), so messaging has to match motivation.
However, these teams can only deliver on promises the rest of the institution keeps. When marketing advertises flexibility and speed that downstream offices can’t support, the gap erodes trust at exactly the moment a learner is deciding whether to commit and move through the enrollment funnel.
Faculty, Program Leaders, and Student Support Teams
Faculty and program leaders shape the academic experience, while advising, tutoring, and student support sustain learners through it. For online learners juggling work and family, a responsive instructor or a proactive advisor can be the difference between pushing through a hard term and disappearing. These teams often see early warning signs first — but only if there’s a channel to act on what they observe. Strong adult learner support here protects the whole student experience.
A Practical Framework for Cross-Campus Alignment
With all the above in mind, here’s how to help curb some of those roadblocks:
Step 1: Map the Adult Learner Journey From Interest to Completion
Start by mapping the full journey as the learner actually experiences it, from first inquiry through:
- Application
- Transfer evaluation
- Registration
- Billing
- The first course
- On to completion
Document every touchpoint and every office involved. A visual map makes silos impossible to ignore because it reveals how many separate hands a single learner must pass through and where the onboarding experience fragments.
Step 2: Identify Handoffs, Delays, and Ownership Gaps
With the journey mapped, take a hard look at the seams. Where does one office hand off to another? How long does each transition take? Most damaging are the ownership gaps — the moments where a learner’s question falls between two departments and no one is clearly responsible. These gray zones are where adult learners stall; no one has the full picture, and the learner is left to escalate on their own. Closing them is as much about campus collaboration as it is about process.
Step 3: Create Shared Goals Across Offices
Silos persist when each office is measured only on its own narrow metrics. The fix is shared goals tied to the learner’s outcome versus departmental throughput. If the registrar, finance, and advising all share accountability for, say, time-to-first-course or first-term persistence, the incentive to coordinate replaces the incentive to optimize in isolation. Shared goals turn separate teams into a system with a common destination (and improve operational efficiency along the way).
How to Build Systems Instead of One-Off Fixes
One-off fixes solve today’s complaint and still leave tomorrow’s intact.
Standardize Communication, Policies, and Escalation Paths
Durable improvement comes from standardization:
- Consistent messaging across offices
- Policies that don’t contradict each other
- Clear escalation paths so any staff member knows exactly where to route a stuck learner
When a frontline advisor can resolve a billing question (or instantly reach the person who can) the learner experiences one coherent institution instead of five disconnected ones.
Use Data to Spot Barriers Before They Become Stop-Out Risks
Adult learners often disappear quietly. Ellucian’s 2025 research found that 60% of students who left college would return if given a clear completion path.
This serves as evidence that many departures are preventable with swifter intervention. Shared data, including early-alert signals from faculty and engagement patterns from the online learning platform, lets teams identify friction proactively. A stronger online student retention strategy starts with acting on a warning sign in week three, not merely analyzing an attrition report after the term ends.
Create a Cross-Functional Team That Meets With Purpose
Alignment needs a home. A standing cross-functional team with representation from registrar, finance, marketing, faculty, and student support gives the work an owner and is one of the most effective forms of higher education partnerships an institution can build internally.
The key is purpose. Rather than meeting to trade status updates, this group:
- Reviews journey data
- Tracks shared metrics
- Troubleshoots specific breakdowns
- Assigns follow-through
What Strong Cross-Campus Partnerships Make Possible
A Better Enrollment and Onboarding Experience
When offices coordinate, transfer credits can be evaluated quickly, aid and billing are transparent, and the path from “interested” to “enrolled in a first course” is shorter and clearer. For a cost-conscious adult weighing whether the effort is worth it, a smooth start is a powerful signal that the institution respects their time and takes student success seriously.
Faster Problem-Solving for Busy Adult and Online Learners
A connected system is better equipped to solve problems in a single interaction instead of several. When staff share information and escalation paths are clear, a learner’s question gets answered without being bounced between departments. For someone pursuing online education after a full workday, that speed can truly be what keeps them enrolled.
Stronger Retention, Completion, and Institutional Trust
The payoff compounds. Given that year-over-year persistence for students starting at 25 or older runs 35 percentage points lower than for younger students, even modest gains in responsiveness can meaningfully improve college completion. A coordinated completion strategy that supports adult learner retention turns one-time enrollees into graduates. Learners who feel supported stay, finish, and tell others, building the institutional trust that fuels the next class of enrollments.
How Leaders Can Start the Shift From Silos to Systems
Choose One Learner Pain Point to Improve First
Don’t try to fix everything at once. Pick a single, visible pain point like slow transfer credit evaluation, confusing billing, or a clunky registration step and rally the relevant offices around solving it together. An early, concrete win builds credibility and momentum, and it teaches the team how to collaborate before tackling something bigger. This is where higher education leadership can model what cross-campus work looks like in practice.
Build Accountability Around Roles, Metrics, and Follow-Through
Sustained change calls for clear ownership. Define who is responsible for each part of the learner journey, attach shared metrics to that ownership, and review follow-through on a regular cadence. Accountability is what keeps cross-campus work from drifting back into old habits once the initial enthusiasm fades.
Bridge Gaps in Institutional Processes With UPCEA
Adult and online learners don’t experience your institution as an org chart. To them, it’s a single journey, and every gap between offices shows up as friction in their day. Moving from silos to systems, then, requires shared goals, honest journey mapping, smart use of data, and a team accountable for the whole experience. Institutions that treat adult education as a connected system as opposed to a collection of separate transactions will be positioned to enroll, support, and graduate the learners who increasingly define the future of higher education.
Looking to build the partnerships your adult learners need? UPCEA membership connects you with the people, research, and best practices that make cross-campus alignment possible. Explore the benefits of becoming a UPCEA member, compare membership types, and then become a member today to join a community shaping the future of online and professional education.
FAQs: Practical Guide to Cross-Campus Partnerships for Adult Learners
1: Why are cross-campus partnerships important for adult learners?
Cross-campus partnerships are important because adult learners often interact with multiple offices quickly, including admissions, financial aid, registrar, faculty, and student support. When those offices are aligned, learners experience fewer delays, clearer communication, and stronger support.
2: Which campus offices should be involved in supporting adult and online learners?
Key offices often include the registrar, financial aid, student accounts, marketing, enrollment, admissions, faculty, academic advising, student success, IT, and online learning teams.
3: What is the biggest barrier to cross-campus alignment?
One of the biggest barriers is unclear ownership. When no office owns a handoff or learner pain point, adult learners can get bounced between departments without timely resolution.
4: How can institutions improve the adult learner journey?
Institutions can start by mapping the learner journey, identifying friction points, clarifying ownership, standardizing communication, and tracking key metrics such as inquiry response time, registration barriers, stop-out risk, and completion rates.
5: What metrics should cross-functional teams track?
Useful metrics include inquiry-to-application conversion, registration completion, financial clearance timelines, course access issues, advising response times, retention, completions, and learner satisfaction.
6: How can leaders move from silos to systems?
Leaders can begin by selecting one high-impact pain point, forming a cross-functional working group, assigning owners, defining success metrics, and creating repeatable processes that can scale across programs.
“As artificial intelligence continues to reshape the workforce, several colleges and universities are introducing AI requirements to general education curricula, majors and certificate programs this fall.
Some institutions—for example, Miami University, Ohio State University and the State University of New York system—are embedding AI competencies into pre-existing majors and coursework. Others, including Northwestern University and the Wentworth Institute of Technology, are introducing AI-specific major programs. Still others, like Indiana University’s Kelley School of Business, are introducing required courses on AI.
Their approaches may differ but their motivations are the same: Employers are, at breakneck speed, increasingly asking for graduates who know how to effectively use AI. It’s called AI fluency, said Ray Schroeder, a senior fellow at the online and professional education association UPCEA, and it “can be a decisive factor between getting a job and not, especially at entry level,” he said.”
We seem to be obsessed with Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI). Yet, our forward focus today more appropriately should be on the emergence, impact and potential of Quantum Computing.
AI has had a remarkable impact on higher education, since the release of GPT 3.5 in November of 2022. For an inordinately long time many faculty members fought access to the technology for students and imposed penalties for suspected use of AI in learning assessments. Not only were the initial “AI detector” attempts notoriously unsuccessful, this approach ignored the growing acceptance and reliance on AI in the workplace and resulting need for students to achieve AI literacy. Rather than denying access to AI in higher education, we should promote learning supported by AI among our students.
Attention has now shifted to the advancement of AI from generative to agentic models and the overall integration of AI into enterprise applications. These are important advancements in the field. Agentic approaches enable AI to take on roles within the organization that go beyond limited chatbots and rigidly defined operations to also perform self-assigned assessments, leading to new roles and activities to improve quality and efficiency. Further, recursive approaches enable algorithms to initiate self-improvement, ultimately proposing and independently implementing improvements.
While AGI and ASI will mark significant improvements in AI algorithms, there is not a single clear definition of either of these terms. Therefore, some experts believe that we have already achieved AGI and that ASI is just a year or two away; others say it will be the middle of the century before either is achieved. So, without minimizing the impact of any of the steps toward general and super intelligence, I think we are better served by focusing on more solidly defined steps in AI advancement.
That brings us to what may become a pivotal stage of development in AI, the use of stable quantum computing to accelerate and extend the potential of algorithms. This can begin with supercomputing digital computers linking to quantum computers to take advantage of the awesome speed and other capabilities of quantum physics. Many corporations already have constructed viable quantum computers. James Dargan reports in the Quantum Insider that there are at least 80 corporations that are heavily investing in the development of quantum computers: “IBM, Google, Microsoft, and AWS are among the leading big tech players, each investing significantly in quantum R&D. IBM operates the world’s largest fleet of quantum systems through its Quantum Computation Center in New York, while Google achieved a landmark with its 105-qubit Willow chip.”
The NIST National Institute of Standards and Technology earlier this year described some of the unique characteristics of quantum computers:
These computers work by harnessing quantum physics — the strange, often counterintuitive laws that govern the universe at its smallest scales and coldest temperatures. Today’s quantum computers are rudimentary and error-prone. But if more advanced and robust versions can be made, they have the potential to rapidly crunch through certain problems that would take current computers years. That’s why governments, companies and research labs around the world are working feverishly toward this goal. Quantum computers will not replace our familiar “classical” computers. Rather, the two types of machines could work together to solve problems that stymie classical computers, potentially supercharging scientific research in fields such as materials and drug discovery, giving a boost to industry and upending cybersecurity as we know it.
One of the “strange, often counterintuitive laws” referenced above that govern sub-atomic physics is the phenomenon of “superposition.” That is, the ability of incredibly tiny particles to hold multiple, seemingly exclusive, properties at the same time. Much as digital computers use bits; quantum computers use qubits. The superposition of a qubit allows it to exist in a combination of both the 0 and 1 states simultaneously. For at least a brief period of time needed to complete computations, qubits can be counted as 0, 1 or a simultaneous combination of 0 and 1 at that given time. This results in an exponential acceleration in the capability of quantum computers to do their work compared to digital computers.
Another quality of qubits is that they can become entangled and share properties such as polarity. This entanglement enables them to be separated, potentially by tens of thousands of miles, and retain a special affinity to their entangled partner. For example, if one changes the polarity of one qubit, the entangled partner qubit changes polarity instantly, at the very same instant, not just at the speed of light. In the case of entangled qubits distanced thousands of miles away from each other, monitored with atomic clocks, the change weirdly takes place at the very same instant.
Arguably, the most famous theoretical physicist of all time found this action extraordinary:
“In 1935, Albert Einstein and colleagues first pointed out the “spooky” action of quantum entanglement. Quantum entanglement, however, appeared to conflict with Einstein’s theory of special relativity, which postulates that nothing can travel faster than the speed of light and is demonstrated mathematically by the well-known equation E=mc2.”
A combination of these quantum characteristics and qualities has essentially enabled sub-atomic teleportation over tiny distances. These are all characteristics of sub-atomic quantum physics rather than the Newtonian physics that we are familiar with in everyday life.
The application of these features to AI algorithms greatly expands and accelerates their speed. Initially, this is experimentally being accomplished by linking supercomputers to quantum computers and even creating hybrid computers. One of the more concerning aspects of the incredible speed and power of quantum processing is its impact on cyber encryption that is used for privacy in many applications worldwide.
The overwhelming speed of quantum, enables quantum computers to break encryptions. In the very near future, it is anticipated that all online encryption will be vulnerable to hacking using public keys attacked by quantum computing. Imagine all privacy – at universities, banks, departments of defense, and beyond – becoming vulnerable at the same day when a computer reaches the speed and complexity to crack all codes.
In Forbes, Chuck Brooks warns:
“It would take a billion years for a traditional computer to crack the encryption of today’s RSA-2048 standard. It could theoretically break in less than two minutes if you had a functional quantum computer. An event referred to as Q-Day by quantum researchers is where large-scale quantum computers can use Shor’s algorithm to break all public key systems that employ integer factorization-based (and other) cryptography.”
A dramatic reminder of the impending importance of Q-day can be found at the Q-Day Countdown site! At the time of writing of this column, the site is displaying Google’s estimation of the time to the date of Q-day showing 876 Days; 7 hours; 59 minutes; and 12 seconds. That would be January 1, 2030. Check the site out yourself if you would like a reminder of when our financial systems may collapse if we fail to provide some sort of prior intervention.
I remain hopeful that some ingenious new mode of encryption (mind-meld?) may be discovered to avoid the catastrophe. I am only beginning to imagine ways in which the unique features of quantum computing may enhance distance teaching and learning. In the meantime, we should remain aware that AI will continue to improve, but a massive “quantum” leap is most likely to be seen when we engage quantum computers in advancing AI, especially in the next two or three years. Is your institution prepared for the broad ramifications of quantum computing? Do you have an operable quantum computer on campus for teaching and research purposes? Who is leading your institution in quantum thought and action?
This column was originally published in Inside Higher Ed.
