At 11th hour, judge blocks Trump’s pause on federal funding (Higher Ed Dive)

“UPDATE: Jan. 28, 2025: A U.S. District judge halted the government’s temporary freeze on federal funding just minutes before it was set to take effect at 5 p.m. Tuesday, according to news reports. U.S. District Judge Loren AliKhan in Washington, D.C., blocked the Trump administration’s directive for one week.

The challenge came from a coalition of organizations that filed a on Tuesday. The plaintiffs, represented in the legal challenge by Democracy Forward, include the National Council of Nonprofits, the American Public Health Association, Main Street Alliance, and SAGE.” 

Other coverage:

Please look out for future Policy Matters updates with the latest on this developing story.

 

Department of Education reminds institutions that misrepresentation rules extend to third party service providers

On January 16, the U.S. Department of Education published  to remind institutions of their obligations to avoid misrepresentations when working with third-party service providers, including Online Program Managers (OPMs). While noting this is not an exhaustive list, the Department provides examples and warnings relating to the following practices: (i) inaccurately identifying an individual employed by an external service provider such as an OPM as being employed by the institution itself; (ii) inaccurately presenting a sales representative or recruiter as an academic advisor; (iii) and describing a version of a program provided in partnership with an external service provider as an institution’s campus-based version of the program when there are meaningful differences. Many of the examples provided involve third party employees implying affiliation with the institution or the institution failing to properly disclose the involvement of an external service provider in the program. According to the Department, this letter was intended to remind institutions that the Higher Education Act’s prohibition on providing false, misleading, or inaccurate information about the nature of educational programs “applies equally to circumstances where an institution has arranged for an external service provider to exclusively manage functions of online programs, such as recruitment, advising, and clinical placements.” 

 

NEW Primers and Insights Resource – 

Introducing a new resource tailored for higher education professionals looking to build online and professional educational partnerships with foreign universities: International Policy Matters to International Program Success: Considerations for International Programming in Online and Professional Higher Education. This resource provides a broad overview of some of the most critical policies that affect international online and professional education programming. More importantly, it provides UPCEA members with key questions to ask about a potential international online and professional education program in order to adequately measure the policy risk involved. Knowing what questions to ask during the project planning and vetting stage will help surface risks that can help institutions judge the merits of a given international education project, and if they proceed, avoid delays and challenges during implementation. 

 

U.S. Department of Education Reveals New Distance Education and Program Integrity Rules: Final Outcomes and Responses to Concerns Raised by UPCEA

In this blog post, UPCEA Senior Policy Fellow and Associate Director of Compliance and Policy at the University of Michigan’s Center for Academic Innovation, Ricky LaFosse, summarizes key issues from the Department of Education’s new distance education and program integrity rules addressing a number of topics raised during negotiated rulemaking in 2024, along with the final decisions made by the Department. 

 

Other News

Is an OPM partnership right for your institution?

The answer is rarely a simple yes or no.

The decision to work with an Online Program Manager (OPM) is complex—shaped by factors like institutional readiness, cultural alignment, operational needs, staff expertise and financial considerations.

Some universities thrive with deep OPM partnerships, others prefer independence, and many find themselves experimenting with hybrid models. Many schools are currently engaged with OPMs and trying to decide whether those relationships should continue. Some institutions also engage an OPM on a short-term basis as they develop expertise in-house. What matters most is knowing where your institution stands today—and whether an OPM can help you get where you want to go.

Making the right decision involves asking the right questions. Does an OPM offer opportunities that align with your organizational objectives, or does it create frustrating complexities? Does it offer the expertise and scalability you need, or is it clashing with your institution’s culture and long-term vision? The answers lie in carefully examining what your institution is ready for—and what it truly requires.

1. Institutional Readiness: Are You Set Up for a Productive Partnership?

When hiring freezes or budget restrictions prevent institutions from adding internal staff, external partnerships can be an attractive option. An OPM can bring valuable expertise, but the partnership works best when your institution already has a solid foundation.

Institutions need clear goals, tracking systems, and leadership buy-in to make the most of the relationship. The partnership must be well-managed, with the right processes in place to track performance, build mutual trust and demonstrate impact.

Questions to consider:

  • Do we have clear objectives that align with what an OPM can deliver?
  • Is leadership committed to supporting and sustaining an OPM partnership?
  • Are we prepared to work with external vendors if hiring restrictions limit our ability to build internal capacity?
  • Can we track key metrics and systems to measure progress and performance?
  • Are we prepared to work closely with an OPM team to align expectations and timelines?

The most effective partnerships occur when institutions know what they want to achieve and can demonstrate measurable progress to maintain leadership support and funding. Many institutions don’t have the technology infrastructure to track and monitor progress on their own. Without the information provided by an OPM or another external partner, they may lack the ability to make data-informed decisions. On the other hand, every school should be pursuing methods to link data from marketing and enrollment campaigns to their overall goals and objectives.

2. Cultural Alignment: Will an OPM Fit Your Institution’s Values?

Culture plays a pivotal role in determining whether an OPM partnership will succeed. Some institutions embrace the expertise and efficiency an OPM provides. Others struggle with the shift in control or outsourcing certain operations.

Questions to consider:

  • Will faculty and staff support the idea of working with an external partner?
  • Does our institution’s culture encourage collaboration with vendors and third-party providers?
  • Can we align the OPM’s role with our broader mission and values?
  • How will we handle potential resistance from stakeholders?

Without cultural alignment and appreciation of what strengths the OPM brings, even the most promising partnerships can face roadblocks and hurdles, despite a positive enrollment picture. It’s essential to foster buy-in and create a shared vision to succeed—and if those things can’t be obtained, then the OPM partnership may not be the right solution.

3. Operational Needs: Will an OPM Fill Key Gaps?

OPMs can bring valuable resources to institutions, especially in areas like marketing, enrollment management, and instructional design. For institutions dealing with hiring freezes, OPMs can provide essential services without increasing headcount. However, the success of the partnership depends on seamless collaboration between internal institutional teams and external partners. Successful collaboration includes effective, meaningful and consistent communication between both parties, as well as transparency of results and processes.

Questions to consider:

  • Are there operational gaps—like marketing or instructional design—that we can’t fill internally?
  • Can an OPM provide specialized expertise we don’t currently have?
  • Will the OPM’s systems integrate smoothly with our existing tools and platforms?
  • How will we ensure ongoing collaboration between internal teams and the OPM?
  • Are there operational gaps that we would like to build over time where we can learn from an OPM?

While OPMs can solve many operational challenges, institutions must be prepared to manage the partnership effectively. Without clear processes and integration, operational gaps can persist, undermining even the most well-intentioned efforts.

4. Financial Considerations: Can an OPM Help Us Scale Sustainably?

OPMs offer different financial models—historically, revenue sharing, and, more recently, fee-for-service—that can be attractive to institutions. However, understanding the institution’s longer-term plans and craft an appropriate financial model is essential to ensure the partnership meets both immediate needs and long-term goals.

Questions to consider:

  • Do we fully understand the financial structure and responsibilities of the partnership, including revenue sharing or fee-for-service models; agreed deliverables and responsibilities, and revenue optimization versus risk avoidance?
  • Can we manage the budget impact of the OPM’s services?
  • Will we have access to performance data to ensure the investment is delivering results with required or reasonable timeframes?
  • Are we prepared to navigate leadership transitions that might shift priorities and disrupt ongoing funding for the OPM partnership?

The financial model for an OPM partnership requires careful planning. Institutions must align their budget with both immediate needs/capabilities and future scalability. While an institution may have a current need that the OPM can meet, it may also have plans to build internal capability. Therefore, structuring that transition plan in to the agreement is important.

Choosing the Right Path: Dependent, Independent, or Hybrid?

Every institution has three basic options when it comes to OPMs: go all-in, go independent, or take a hybrid approach. Each model has its benefits and trade-offs. The key is understanding what’s right for your institution and planning accordingly.

 

OPM-dependent: a deep partnership
In this model, institutions rely heavily on the OPM for multiple services, such as enrollment management, marketing, instructional design and support, new program identification and program delivery. This approach offers comprehensive support but requires maximum transparency and clear communication.

Best Practice: Build trust by ensuring shared performance metrics and ongoing dialogue with your OPM partner.

 

Fully independent: managing everything in-house
Some institutions prefer complete control and opt to bring all functions in-house. While this approach offers maximum flexibility, it also requires significant investment in talent and infrastructure.

How to Prepare: Ensure you have the capacity to manage all key functions without external support—and create contingency plans to avoid disruptions.

 

Unbundled OPM: a flexible approach
This model offers the best of both worlds—retaining control over some areas while outsourcing specific functions to external providers. Institutions might work with an OPM for marketing but keep instructional design or enrollment management in-house.

If you choose this option, your consideration set can extend well beyond OPMs. There are many external partners who provide a specialized set of services and can engage in a fee-for-service model.

Considerations: Identify operational gaps and bring in specialized partners where needed. Focus on gradually building internal capabilities to reduce reliance on the OPM over time.

Does an OPM Make Sense for Your Institution?

An OPM can unlock new opportunities, but a successful partnership requires careful alignment with your institution’s goals, culture, and operational and financial needs. Whether you choose to continue with full partnership, move toward complete independence, or split the difference with a hybrid model, the key is making informed decisions based on what will serve your institution best. By asking the right questions upfront and evaluating your options thoughtfully, you can determine the model that will set you up for success.

 

Webinar
A webinar around this topic will be hosted by Lee Maxey of MindMax and Jim Fong of UPCEA on Thursday, February 20 at 2pm ET.  To learn more or to register, please click here.

 

Lee Maxey is Founder and CEO of MindMax. Lee has led MindMax since its founding in 2009, providing technology-enabled marketing solutions to accelerate enrollments for universities. Lee takes pride in building long-lasting relationships with MindMax’s university partners and building a culture focused on results aligned with client specific needs. MindMax provides strategic guidance, proven processes, and the latest digital tools to optimize online marketing and enrollment operations for university-affiliated continuing and professional education organizations. We are a trusted advisor to many of the nation’s top universities, and have transformed hundreds of online programs, impacting over 1 million students.

 

Jim Fong is UPCEA’s Chief Research Officer, and the founding director of UPCEA Research and Consulting. In his role, Jim has analyzed demographic, occupational, technological and societal trends and data to help the higher education community better serve the adult and corporate learner. Prior to joining UPCEA, Jim worked as a higher education strategic marketing and CRM consultant and researcher for two firms and prior to that was the Director of Marketing, Research and Planning for Penn State Outreach. Jim holds an M.B.A., an M.S. in Applied Statistics and a B.S. in Mathematics, all from The University of Vermont.

“Think about a professional stepping into the workforce—equipped with the strategic insights cultivated during a four-year business degree and bolstered by technical expertise gained through microcredentials. This balanced blend of broad understanding and specialized skills does more than make them competitive; it prepares them to lead and drive transformative change. Employers are no longer satisfied with a single dimension of expertise—they expect candidates who bring the best of both worlds.

The data supports this evolution. […]

Imagine someone learning Python for data analytics or mastering SEO techniques for digital marketing within just a few weeks. Microcredentials make this possible, offering a fast and focused way to gain market-relevant skills without committing to a long-term program. These certifications often cost a fraction of traditional degrees, breaking down financial barriers and making high-quality learning accessible to more people. What’s more, many microcredentials are developed hand-in-hand with major companies or industry groups, ensuring that learners gain expertise aligned with current job market trends. A LinkedIn Learning report from 2022 found that 94% of professionals believe continuous learning is crucial for career success. A 2023 survey by UPCEA and Collegis Education found that 95% of employers recognize benefits in microcredentials, particularly as indicators of an employee’s commitment to skill development and advancement.”

Read the full article. 

During a recent Virtual Masterclass titled Strategies for Integrating Micro-Credentials into Curriculum, I had the privilege of joining Lancie Affonso from the College of Charleston to explore how industry-recognized microcredentials can enhance course outcomes. Lancie shared examples of how microcredentials can bridge the gap between academic theory and professional practice while meeting students’ diverse interests and career goals.

For instance, in his Data Visualization and Storytelling Honors course, students selected microcredentials aligned with their interests, ranging from analytics to cybersecurity to sustainability. This flexibility not only encouraged peer learning but also motivated students to deeply engage with the material, which allowed them to rapidly acquire targeted skills while achieving overall course learning objectives.

In his Cybersecurity course, Lancie integrated Google’s Cybersecurity professional certificate into both online and face-to-face formats. In the latter, he adopted a flipped classroom model based on student feedback, leveraging the certificate’s up-to-date content for improved engagement and preparation. He discussed how students benefited from participating in the professional certificate community and how alumni noted that students with this certification stood out in the job market.

With technology advancing quickly and workforce demands evolving, innovation is not just a luxury; it is a responsibility. Industry-linked learning, a subset of work-integrated learning intentionally supported by microcredentials, is a powerful tool for fostering adaptable, job-ready graduates. Briefly, I want to highlight Ten Ways to S.K.I.L.L., or ways to think about Strengthening Knowledge through Industry-Linked Learning.

  1. Aligning Microcredentials with Course Outcomes: An Introduction to Sociology course could incorporate Foundations of User Experience (UX) Design from Google’s UX Design Professional Certificate as a way for learners to understand social behavior in the context of design. Students could analyze the cultural and social impacts of digital platforms, engaging with both sociological theories and practical UX principles.
  2. Embedding Microcredentials as Supplemental or Core Learning: In a Health Sciences course on patient care, faculty could offer learners the option to complete the Analyze Data to Answer Questions course from Google’s Data Analytics Professional Certificate as a supplemental activity to help analyze real-world healthcare data. The course could also be used as a core component of a data analysis module to help learners understand how data analytics can inform patient care decisions and healthcare management.
  3. Engaging Learners with Universal Design for Learning (UDL) Principles: In an English Literature course learners could complete the Multimedia Content Creation course from Adobe’s Content Creator Professional Certificate to produce a multimedia project, like a video analysis of a novel or poem. This would allow them to combine literary analysis with creative skills while providing flexibility in how they demonstrate their understanding of the text.
  4. Leveraging Role-Based Organization: In a Business Administration program, faculty could integrate courses from IBM Business Intelligence (BI) Analyst and Microsoft Power BI Data Analyst professional certificate into management and analytics classes. By aligning these role-specific microcredentials with the skills required for data-driven decision-making, learners develop expertise in tools like data visualization and dashboard creation, directly preparing them for real-world business data analysis tasks.
  5. Integrating Micro-Internships: In a Marketing class, learners could complete the Meta Social Media Marketing Professional Certificate, and then apply their knowledge by working on a real-world marketing campaign for a local business. The course plus the microcredential provides foundational knowledge, while the micro-internship offers practical experience.
  6. Implementing Project-Based Learning with Microcredentials: For Psychology majors studying organizational behavior, the Introduction to Scrum Master Profession from IBM’s IT Project Manager Professional Certificate could be included as part of a team project. Learners could manage a simulated organizational change, applying both psychological principles and project management skills.
  7. Using Microcredentials to Bridge Disciplines: A Criminal Justice course could integrate the Foundations of Cybersecurity course from Google’s Cybersecurity Professional Certificate credential to help learners understand the role of cybersecurity in preventing cybercrime. Learners could use case studies to evaluate the impact of cyber laws and regulations.
  8. Mapping a Microcredential Integration Plan: An Economic History course could pilot the Principles of Real Estate course from the Keller Williams Real Estate Agent Certificate to explore historical market trends and their broader implications. Based on the results, the full certificate could be mapped across courses like historical research methods or urban history to create an interdisciplinary pathway.
  9. Developing Assessment Strategies: In a Business Ethics course, learners could complete the Sales and CRM Overview course in the Salesforce Sales Operations Professional Certificate and present a case study applying ethical decision-making frameworks while using CRM tools. Grading could focus on both technical competency and ethical analysis.
  10. Exploring a Student-Centric Approach: In a STEM course focused on innovation, faculty could offer the AWS Cloud Technology Consultant Professional Certificate as an optional component or for internship credit. This would give students interested in cloud computing the flexibility to earn the microcredential while engaging with the course content.

Utilizing microcredentials to S.K.I.L.L. (Strengthening Knowledge through Industry-Linked Learning), can provide learners with industry-recognized skills that complement their degrees. Microcredentials offer a way for those who want to be lifetime earners to boost their earning potential while developing lifelong learners who can adapt to a constantly changing job market.

I recently completed my 20th professional certificate through Coursera in my journey to better understand industry-linked learning. This process has been more than just acquiring certifications; it has been an opportunity to dive deep into industry content, challenge my own perspectives on learning design and explore how higher education can better connect academic theory with practical, professional skills. Looking ahead, I am eager to help colleges and universities expand the integration of industry-learning into academic courses, conduct research to measure impacts on student outcomes and engage in meaningful conversations about the evolving role of microcredentials in higher education.

 

Elizabeth Robertson Hornsby is a Coursera Contributor and Adjunct Professor at Southern University at New Orleans. Coursera was launched in 2012 by two Stanford Computer Science professors, Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 162 million registered learners as of September 30, 2024. Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, Guided Projects, and bachelor’s and master’s degrees. Institutions around the world use Coursera to upskill and reskill their students, employees, and citizens in fields such as data science, technology, and business. Coursera became a Delaware public benefit corporation and a B Corp in February 2021.

A revolution is quietly taking place in academic and scholarly research prompted by the advent of AI research tools. This will reshape the very nature of our studies and greatly accelerate synergies and collaborations across academic fields.

AI research tools such as OpenAI o1 have now reached test score levels that meet or exceed those who hold Ph.D. degrees in the sciences and a number of other fields. These Generative AI (GenAI) tools utilize Large Language Models that include research and knowledge across many disciplines. Increasingly, they are used for research project ideation and literature searches. The tools are generating interesting insights to researchers that they may not have been exposed to in years gone by.

The field of academe has long emphasized the single-discipline research study. We offer degrees in single disciplines; faculty members are granted appointments most often in only one department, school or college; and for the most part, our peer-reviewed academic journals are in only one discipline, although sometimes welcoming papers from closely associated or allied fields. Dissertations are most commonly single-discipline based.  Although research grants are more often multidisciplinary and practical solution-finding in nature, a large number remain focused on one field of study.

The problem is that as we advance our knowledge and application expertise in one field, we can become unaware of important developments in other fields that directly or indirectly impact the study in our chosen discipline. Innovation is not always a single purpose, straight line advance. More often today, innovation comes from the integration of knowledge of disparate fields such as sociology; engineering; ecology and environmental developments, and expanding understanding of quantum physics and quantum computing. Until recently, we have not had an efficient way to identify and integrate knowledge and perspectives from fields that, at first glance, seem unrelated.

AI futurist and innovator Professor Thomas Conway of Algonquin College of Applied Arts and Technology addresses this topic in “Harnessing the Power of Many: A Multi-LLM Approach to Multidisciplinary Integration.”

Amidst the urgency of increasingly complex global challenges, the need for integrative approaches that transcend traditional disciplinary boundaries has never been more critical. Climate change, global health crises, sustainable development, and other pressing issues demand solutions from diverse knowledge and expertise. However, effectively combining insights from multiple disciplines has long been a significant hurdle in academia and research.

The Multi-LLM Iterative Prompting Methodology (MIPM) emerges as a transformative solution to this challenge. MIPM offers a structured yet flexible framework for promoting and enhancing multidisciplinary research, peer review, and education. At its core, MIPM addresses the fundamental issue of effectively combining diverse disciplinary perspectives to lead to genuine synthesis and innovation. Its transformative potential is a beacon of hope in the face of complex global challenges.

Even as we integrate AI research tools and techniques, we, ourselves, and our society at large are changing. Many of the common frontier language models powering research tools are multidisciplinary by nature, although some are designed with strengths in specific fields. Their responses to our prompts are multidisciplinary. The response to our iterative follow-up prompts can take us to fields and areas of expertise of which we were not previously aware. The replies are not coming solely from a single discipline expert, book or other resource. They are coming from a massive language model that spans disciplines, languages, cultures, and millennia. As we integrate these tools, we too will naturally become aware of new and emerging perspectives, research and developments generated by fields that are outside our day-to-day knowledge, training and expertise. This will expand our perspectives beyond the fields of our formal study.  As the quality of our AI-based research tools expand, their impact on research cannot be overstated. It will lead us in new directions and broader perspectives, uncovering the potential for new knowledge, informed by multiple disciplines. One recent example is “Storm,” a brainstorming tool developed by the team at Stanford’s Open Virtual Assistant Lab (OVAL):

The core technologies of the STORM&Co-STORM system include support from Bing Search and GPT-4o mini. The STORM component iteratively generates outlines, paragraphs, and articles through multi-angle Q&A between “LLM experts” and “LLM hosts.” Meanwhile, Co-STORM generates interactive dynamic mind maps through dialogues among multiple agents, ensuring that no information needs overlooked by the user. Users only need to input an English topic keyword, and the system can generate a high-quality long text that integrates multi-source information, similar to a Wikipedia article. When experiencing the STORM system, users can freely choose between STORM and Co-STORM modes. Given a topic, STORM can produce a structured high-quality long text within 3 minutes. Additionally, users can click “See BrainSTORMing Process” to view the brainstorming process of different LLM roles. In the “Discover” section, users can refer to articles and chat examples generated by other scholars, and personal articles and chat records can also be found in the sidebar “My Library.”

More about Storm is available at https://storm.genie.stanford.edu/.

One of the concerns raised by skeptics at this point in the development of these research tools is the security of prompts and results. Few are aware of the opportunities for “air-gapped” or closed systems and even the ChatGPT Temporary Chats.  In the case of OpenAI’s temporary chats, you can start a Temporary Chat by tapping the version of ChatGPT you’re using at the top of the GPT app, and selecting Temporary chat. I do this commonly in using Ray’s eduAI Advisor. OpenAI says that in the temporary chat mode results “won’t appear in history, use or create memories, or be used to train our models. For safety purposes, we may keep a copy for up to 30 days.” We can anticipate these kinds of protections will be offered by other providers. This may provide adequate security for many applications.

Further security can be provided by installing a stand-alone instance of the LLM database and software in an “air-gapped computer” that maintains data completely disconnected from the internet or any other network, ensuring an unparalleled level of protection. Small Language Models (SLM) and medium sized models are providing impressive results, approaching and in some cases exceeding frontier model performance while storing all data locally, off-line.  For example, last year Microsoft introduced a line of SLM and medium models:

Microsoft’s experience shipping copilots and enabling customers to transform their businesses with generative AI using Azure AI has highlighted the growing need for different-size models across the quality-cost curve for different tasks. Small language models, like Phi-3, are especially great for:

-Resource constrained environments including on-device and offline inference scenarios.

-Latency bound scenarios where fast response times are critical.

-Cost constrained use cases, particularly those with simpler tasks.

In the near term we will find turnkey private search applications that will offer even more impressive results.  Work continues on rapidly increasing multidisciplinary responses to research on an ever-increasing number of pressing research topics.

The ever-evolving AI research tools are now providing us with responses from multiple disciplines. These results will lead us to engage in more multidisciplinary studies that will become a catalyst for change across academia. Will you begin to consider cross-discipline research studies and engage your colleagues from other fields to join you in research projects?

 

This article was originally published on Inside Higher Ed.

The Department of Education recently published new distance education and program integrity rules that address a number of topics raised during negotiated rulemaking sessions held in early 2024. Many of the proposals shared in the Department’s July 24, 2024, Notice of Proposed Rulemaking (NPRM) have been rescinded. Of those that remain, most are scheduled to take effect on July 1, 2026. Not all of the issues raised in the associated negotiated rulemaking sessions for these rules had even made it to the proposed rule stage, however, and the Department has now formally terminated its rulemaking efforts with regard to those remaining issue areas (i.e., State Authorization, Cash Management, and Accreditation and Related Issues). 

From the beginning, the Department’s rulemaking sessions had involved several highly controversial proposals that had the potential to significantly impact UPCEA’s membership, particularly with regard to the administration of online programs. For example, the Department was considering restricting interstate reciprocity benefits and establishing enrollment caps, requiring attendance taking for distance education courses based on recorded instances of academic engagement, and removing Title IV student aid eligibility from asynchronous clock hour programs. These could have had the effect of raising costs for institutions and students, and, in some cases, may have actually resulted in students having fewer protections despite the Department’s stated intention to enhance those protections.     

Given the controversial nature of what was being considered during this rulemaking cycle, UPCEA—often in collaboration with several other higher education membership and advocacy organizations—raised a number of questions and concerns that were shared via letters to the Department and through public comment opportunities. Specifically, UPCEA submitted or contributed to the following: 

Below is a summary of key issues raised in these documents along with the final decisions made by the Department.

Mandatory Attendance Taking for Distance Education

UPCEA and its collaborators expressed concern over the proposed mandate for attendance taking in distance education settings, arguing that it could lead to confusion and potential harm to students, who could be inappropriately withdrawn from courses after 14 days with no recorded instance of academic engagement. We also noted that significant administrative burden and confusion could follow for faculty and staff who may sometimes need to juggle multiple versions of attendance or track engagement across multiple platforms all while applying unique definitions to ensure accurate record keeping. 

Result. In its final rules, the Department removed its proposed provision under § 668.22(b)(3)(ii) for required attendance taking in distance education courses, stating that it was “persuaded by concerns about the need for continued development in [student engagement tracking] tools to make them consistently effective for this [attendance taking] purpose, including the need for system interoperability.” The Department did, however, express continued concern over the potential for abuse in this area but believed removing this provision for the time being would “provide more time to evaluate technological changes that can better track student engagement.” 

“Virtual Locations” and New Distance Education Data Reporting

A number of comments submitted to the Department voiced apprehension over the proposal to establish “virtual locations” largely for data reporting purposes. UPCEA and other commenters feared that this development, combined with the related proposal to establish unique distance education enrollment data reporting obligations using yet-to-be-determined prompts, would be used as a tool to diminish online education offerings. In addition to the added burden unique to distance education, there had been a concern that, in part due to the different populations of students often served through distance education, direct comparisons made across online and in-person programs could potentially produce flawed data that may, nevertheless, be used to inform future policymaking efforts. 

That being said, we did not outright oppose these changes given the potentially valuable data to be collected for research purposes. We also voiced support for students gaining easier access to closure protections through the addition of a virtual location designation, which the Department suggested would be the case. Instead of asking the Department to abandon these proposals, we sought a delay to the effective date along with more information regarding the motives and anticipated use cases for these data collection efforts. 

Result. In the final rules, the Department has removed the definition of a virtual additional location from §  600.2. In doing so, however, it uses the rationale that this provision may be unnecessary in consideration of the similar proposals relating to the expanded collection of distance education enrollment data through National Student Loan Data System (NSLDS) reporting. Though, it acknowledges this would have no effect on closed school loan discharges, which had been another policy aim of the virtual location proposal. Institutions will not be required to report new distance education enrollment information until July 1, 2027, which pushes the deadline back a full year from what had initially been proposed. Regarding concerns over the use of those data to create potentially misleading comparisons across modalities, the Department states that it “would not evaluate information about distance education in a vacuum [and various demographic] factors would also be taken into account when developing policies around distance education.” 

Asynchronous Clock Hour Courses

Regarding the Department’s proposal to remove eligibility from asynchronous clock hour programs, UPCEA and others noted that there are already requirements in place to ensure these programs still provide opportunities for regular and substantive interaction. If the concern was primarily over the lack of institutional capabilities to track engagement and ensure the proper amount of time is being spent for each “clock hour” tied to aid disbursement, meanwhile, then we suggested that more guidance on how to do this to the Department’s satisfaction might be preferable to an outright elimination of these programs. 

Result. The Department has removed this proposal from its final rules but does note that it “will continue to conduct oversight on how institutions offer any asynchronous clock hour programs and may revisit this issue at a later date through a future rulemaking effort if we find continued evidence of widespread problems.”

State Authorization Reciprocity 

While most of the questions and concerns highlighted above are reflected in public comment submissions that UPCEA participated in, there were a number of issues from this same rulemaking cycle, such as those involving state authorization, which never culminated in a proposed rule being issued by the Department. When it appeared as though such a proposal was still forthcoming, however, UPCEA and a number of other organizations co-signed a letter to the Department to express concerns over various proposals featured in issue papers that had been shared with negotiators at the time. 

Of primary concern, the Department had been considering setting enrollment limits for the applicability of reciprocity agreements such as the State Authorization Reciprocity Agreements (SARA) and permitting states to separately enforce a broad range of “closure” laws (e.g., surety bond and teach-out requirements) regardless of what a reciprocity agreement might say on the matter. These moves could have, in effect, removed some of the main benefits of SARA for institutions by requiring institutions to follow a patchwork of state laws. Additionally, these rule changes could have unintentionally removed protections from students in a number of states due to the relatively weak—if not nonexistent—distance education oversight and enforcement capabilities outside of SARA in those states. UPCEA and other organizations expressed concern over the Department’s interference with a voluntary agreement among states and institutions of higher education and asked the Department to instead allow for existing policymaking processes specific to SARA, which states have a prominent voice in, to address concerns over student protections. 

Result. The Department appeared to be receptive to these arguments. In withdrawing its state authorization rulemaking efforts, the Department stated that “it is worth evaluating how State-led efforts at improving state authorization proceed before making further regulatory changes.” The Department continues, “This particularly involves the policy modification process adopted by the National Council for State Authorization Reciprocity Agreements (NC-SARA) . . . [and] allowing this policy modification process to continue is one way to address the Department’s goals.”

Concluding Thoughts

As is reflected in the signature lines to letters and comments linked above, UPCEA engaged in this advocacy work largely through important collaborations with other organizations, including ACE, WCET, QM, OLC, the National Association of Colleges and University Business Officers, and the American Association of Community Colleges. We thank these organizations for their many contributions to the collective advocacy efforts that have been so necessary over this past year in support of online and continuing education. Likewise, we extend our thanks to individuals from UPCEA member institutions who have shared their concerns with us and the broader UPCEA community, which we have been able to amplify through these collaborative efforts. Given the amount of change that has taken place between the Notice of Proposed Rulemaking and these final rules, it appears as though these efforts, along with the 450+ public comments that ED received, have been impactful and that the Department is carefully considering the community’s input in good faith. We appreciate the Department doing so.   

A common theme found throughout the Department’s responses to public comments is that, while a number of key proposals have been withdrawn, this does not mean the Department will not provide oversight over the underlying issues that prompted these rulemaking efforts in the first place. The Department has also made clear that, as it continues in this oversight role, it may engage in future rulemaking efforts on these same topics at a later date. We recommend that institutions carefully review both the final distance education regulations and the termination notice to learn more about the potential abuses the Department had been concerned with. Additional guidance may be gleaned from the Department’s responses to public comments and descriptions of how the existing regulatory framework will be enforced to achieve the Department’s policy goals of protecting students along with the investments made by taxpayers in Title IV programs.  

 

Ricky LaFosse, JD, PhD is UPCEA’s Senior Policy Fellow and the Associate Director of Compliance and Policy and the University of Michigan’s Center for Academic Innovation. Ricky had more than a decade of online education compliance and policy experience, and has long supported the work of UPCEA’s Policy Committee, including as a former Chair.

A person (Stacy Chiaramonte) smiling

By Stacy Chiaramonte

A person (Jim Fong) smiling

By Jim Fong

Defining Microcredentials and Their Value

Microcredentials, shorter educational programs that develop specific skills or competencies, have seen tremendous growth in recent years. Both adult learners and traditional students increasingly seek these credentials for upskilling or career advancement. While the term “microcredentials” is relatively new, short-form credentials have been offered by higher education institutions for decades, playing a significant role in workforce development. 

Despite their growing popularity, many learners and employers remain uncertain about the value of microcredentials. This highlights the need for institutions to adopt targeted strategies to educate these audiences about their benefits. Institutions must begin by understanding the lifelong learner audience and what motivates them to pursue microcredentials. 

 

Understanding the Lifelong Learner Audience 

Higher education is undergoing transformative changes, driven by technological advancements, demographic shifts, and evolving workforce needs. The rise of automation and artificial intelligence is creating a pressing demand for adaptable, highly skilled workers. Microcredentials provide agile learning pathways to address these needs, equipping learners with targeted skills that align with industry demands. 

As the U.S. faces a demographic cliff1—a decline in college-eligible high school graduates—adult learners are becoming an increasingly critical audience for higher education institutions. This shift necessitates that colleges and universities expand their portfolios to include more microcredential offerings tailored to diverse, often older learners balancing work, family, and educational goals. 

Adult learners represent a complex and segmented market. Research by UPCEA and Thinking Cap identifies at least six distinct learner profiles, each with unique motivations, behaviors, and preferences. For instance, Generation Z males value stackable, short-term credentials, while Millennial women often prioritize traditional degrees due to their perceived long-term benefits. Understanding these nuances is essential for effective marketing. 

The growing population of “Some College, No Credential”2 learners presents a significant opportunity. As of 2022, this group includes 40.4 million individuals in the U.S., many of whom face financial, time, and family constraints that prevent them from completing degrees. Microcredentials—particularly affordable, stackable options—offer viable pathways for career advancement and skill development for these learners. 

 

Crafting a Compelling Value Proposition 

To successfully market microcredentials, institutions must align their offerings with the needs of both learners and employers. However, an UPCEA study conducted in 2023 revealed that only 28% of institutions frequently involve employers in the development of microcredentials. Engaging employers ensures that programs address real-world skills gaps, enhancing their relevance and value. Similarly, a UPCEA and Collegis Education study found that 44% of employers have never been approached by a college or university to develop workforce-oriented alternative credentials. 

The stackability of microcredentials is a key selling point. By enabling learners to earn credentials incrementally, institutions allow them to immediately apply new skills while continuing to upskill over time. This flexibility is particularly attractive to working professionals seeking affordable, quick ways to advance their careers. 

Institutions should also focus on capturing and promoting learner outcomes. Testimonials, job placement data, and employer endorsements build trust and demonstrate the tangible benefits of completing microcredential programs. Learners need a clear return on investment, both in terms of career mobility and financial outcomes. 

Digital Marketing Strategies 

Effectively marketing microcredentials requires a strategic, data-driven approach tailored to the diverse adult learner audience. Key strategies include: 

1. Top-of-Funnel Engagement: 

    • Use paid search, social media advertising, and content marketing to drive awareness and inquiries. 
    • Clearly define the adult learner segments, as well as decision-making employers. 
    • Tailor messaging to address specific pain points, such as skill gaps or career advancement opportunities. 

2. Website Optimization: 

    • Ensure program pages are user-friendly, visually appealing, and provide clear calls to action. 
    • Design pages to leverage links and link authority, keywords and phrases, navigation principles, and structure to influence search rankings. 
    • Simplify inquiry forms by collecting only essential information (e.g., name and email) to reduce barriers to engagement. 

3. Personalized Communication: 

    • Develop a library of messaging and videos for the user to explore and connect with.  For example, deploying specific emails based on program interest or other information gathered can help shape a stronger message.  Creating a video library or social media channel for testimonials can better connect the prospect to the institution or program. 
    • Use automated systems for timely, relevant follow-ups based on learners’ interests and behaviors.  The institution must have a process for how it triggers a human response over an automated or electronic response. 
    • Leverage gathered information, such as request for information, web visitor and traffic, and browser information to create more targeted communications. 
    • Adopt a self-service strategy, such as offering resources such as program guides or testimonials to nurture prospective learners through the enrollment funnel. 

4. Advanced Techniques: 

    • Leverage AI-driven analytics to identify and target high-potential leads. 
    • Experiment with influencer partnerships to amplify program visibility, especially on platforms like LinkedIn and TikTok. 
    • Continue to gain knowledge on developing technologies, such as how search engines and AI chatbots will impact search engine optimization.  Search engine optimization is being greatly influenced by AI models and algorithms.  Advances are also being made in voice search. 

 

Building Partnerships and Expanding Outreach 

Collaboration with employers is vital for the success of microcredential programs. Employers face significant challenges in finding skilled workers and upskilling their existing workforce. By involving employers in program development, institutions can ensure alignment with industry needs and establish themselves as trusted workforce partners. The 2024 UPCEA and Collegis Education study referenced earlier reinforced that employers want to engage with institutions to address skills gaps. 

Professional associations and community organizations also offer valuable opportunities for outreach. Partnering with these groups extends the reach of microcredential programs and connects institutions with broader audiences. Alumni networks represent another powerful resource, as alumni can advocate for microcredentials within their organizations and serve as testimonials for lifelong learning. 

 

Measuring and Optimizing Results 

To ensure the effectiveness of marketing efforts, institutions must monitor key performance indicators (KPIs) such as website traffic, ad impressions, lead generation, and enrollment rates. Early metrics like clicks and inquiries can provide valuable insights into the resonance of marketing messages and the appeal of program offerings.  However, cost per inquirer, student and applicant metrics are more crucial indicators. 

A/B testing is an effective way to refine marketing strategies. By experimenting with different messages, channels, and formats, institutions can identify what works best for their target audiences. Regular feedback from learners and employers should also inform program improvements and marketing adjustments. 

An institution should be measuring its microcredential marketing and enrollment management efforts via its customer relationship management (CRM) system and make results readily available to key staff information via dashboards. 

 

Key Takeaways 

Promoting microcredentials requires a targeted, multifaceted approach that: 

  1. Aligns programs with workforce needs through employer collaboration. 
  2. Leverages digital marketing tools to engage diverse lifelong learner segments. 
  3. Focuses on stackable, flexible program designs to meet learners’ evolving needs. 
  4. Continuously measures and optimizes marketing strategies based on data and feedback. 

By adopting these strategies, higher education institutions can position themselves as leaders in lifelong learning, meeting the demands of both learners and employers in a rapidly changing landscape. 

 

Additional Resources 

 

Stacy Chiaramonte is the Senior Vice President of Operations and Strategy for UPCEA’s Research & Consulting division. Prior to joining UPCEA, she spent 13 years at Worcester Polytechnic Institute, most recently as the Associate Vice President of Graduate and Professional Studies. 

Jim Fong is the Chief Research Officer and founding director of UPCEA Research and Consulting. Prior to joining UPCEA, Jim worked as a higher education strategic marketing and CRM consultant and researcher for two firms and prior to that was the Director of Marketing, Research and Planning for Penn State Outreach. 

In 2025, online, professional, and continuing education leaders are navigating a challenging yet transformative period. Rising demands for skills-based, flexible learning are matched by an increasingly competitive landscape. 

Today’s adult learners, who often balance work and study, seek programs that offer immediate value, clear career pathways, and lifelong learning opportunities. As traditional degree enrollment declines, institutions must adapt to meet the needs of career-focused, working learners and help them differentiate themselves in the job market. 

Below, we share five data-backed strategies for attracting more learners, engaging and reenrolling alums, and boosting your program’s brand awareness. Based on data from the State of Credentialing Report — with tips and examples from leaders at Syracuse University, Penn State University, George Washington University, and MIT Professional Education — these strategies equip you to thrive in 2025 by delivering relevant, accessible, and career-driven learning experiences.

5 Big Wins For Your Learners and Your Institution

1. Make the Career Value of Your Credentials Clear

What the Data Say

For today’s learners, credentials must be more than just symbols of completion. They’re tools for career growth, skill demonstration, and differentiation in the job market. 

In our recent survey, 96% of digital credential earners found them valuable for their career prospects, and 78% felt they enhanced their chances of receiving a job offer.

However, there is still some confusion about digital credentials among learners. While learners didn’t have an instant preference for digital credentials, our data shows that they wanted everything that only digital credentials can provide:

    • Context: they contain metadata (i.e., an overview of acquired skills, evidence of what was learned and assessed, criteria for entry and earning)
    • Verifiability: they allow employers to confirm learners have earned the credential
    • Security: they can’t be faked or tampered with
    • Sharability: they can be easily shared on social media and added to LinkedIn profiles

This poses a significant opportunity for credential issuers — not only to maximize the value of their digital credentials via metadata but also to better communicate this value to learners. As Penn State University Assistant Teaching Professor of Economics Frank Sorokach points out, “Employers want to know what a badge tells them — about the student’s competency, the quality of the education they received, and the skills they have proven they have.”

What You Can Do

First, add as much relevant metadata as you can to your credentials. This allows employers to examine what the students have learned and how they’ve demonstrated their competency, increasing the chances they’ll land their dream job.

Syracuse University is a fantastic example of maximizing metadata. As shown below, each of their credentials:

  • Has a detailed description of the course or workshop, cluing employers into what, exactly, the student learned
  • Is tagged with specific skills and knowledge that the recipient gleaned from the course
  • Shows students how and where to share
  • Clearly display a verification badge, issue date, and expiration date
  • Links to more information about the School and its curriculum

Screenshot example of credential metadata

After your metadata is in place, focus on educating your learners — why should they care about your digital credentials? Make the value clear on your program page(s) and in credential delivery emails. Here are strategies we’ve seen work well:

  • Sharing stats on how digital credentials have helped learners advance their careers
  • Shouting out students who share their credentials on LinkedIn
  • Adding short videos or testimonials from learners who used credentials in their job search
  • Explaining digital credential security features to emphasize their trustworthiness
  • Providing tips for incorporating digital credentials in job applications and professional profiles

The American Council on Exercise (ACE) is a great example of an organization that does this well on its program page. The value of its credentials is front and center on its program page, and each section gives learners even more reason to accept and share their badges.

Screenshot of examples of achievements from ACE (digital certificates, digital badges, digital wallet cards)

2. Give Learners the Education They Want

What the Data Says

Today’s learners crave a curriculum that prepares them for the challenges they’ll face in their professional careers. 

The State of Credentialing report revealed that 92% of learners want projects and assessments as part of their coursework, and 97% want a series of linked modules (e.g., courses or microcredentials) to help them master a topic and apply that knowledge to real-world scenarios.

Unfortunately, what learners want to see in their courses doesn’t align with what education institutions provide. Just 29% of credential issuers have learning pathways, and only 34% have built-in assignments and tests.

What You Can Do

Addressing these gaps may seem daunting, but you can start by breaking down existing courses into focused skill modules and integrating existing content like seminars and guides. Pairing these materials with hands-on projects and assessments within a structured pathway allows for a flexible, comprehensive learning experience that builds skills progressively through interconnected microcredentials.

Helping learners visualize their learning pathway and awarding digital credentials along the journey will increase learner retention and application, encourage them to keep going, and reward them for staying the course.

UiPath’s Specialized AI Pathway, for example, clearly outlines each Pathway requirement, allowing learners to choose between several different courses (and even optional courses) to suit their specific needs.

Screenshot example of UiPath's Pathway requirement

Educational publisher McGraw Hill assesses students’ knowledge before their course of study, then takes them through targeted lessons based on those results, inserting hands-on activities and quizzes along the way. As Bob Nisbet, Senior Marketing Manager at McGraw Hill, emphasizes, “We’ve found this makes learning more efficient and effective. Students know exactly what skills they need to acquire and can track their progress along the way.”

3. See Credentials as a Marketing Flywheel

What the Data Says

94% of education providers who have adopted digital credentials report a positive impact on their organization, and the most significant benefit they cited was increased credential sharing online. Why? Because it’s essentially free advertising.

In an era of rising learner acquisition costs, enabling learners to share their credentials online boosts brand awareness and, in turn, program referrals. As Myriam Joseph, Assistant Director of Marketing and Business Development at MIT Professional Education, explains, “If you admire someone and you see they just completed a certificate that everyone is raving about on social, you’re going to want to know more.”

Yet most institutions overlook this powerful organic marketing channel — only 1 in 3 sends a reminder to students to open credentials and share them. 44% of issuers report doing nothing to recognize or reward learners who share their credentials.

What You Can Do

Encouraging credential shares can establish your credential as a “must-have,” remind past learners to enroll in new courses, and attract more interest from new learners. 

But learners have a lot on their plates — one email explaining how to share their credentials isn’t going to prompt action. The most successful credentialing programs do four things:

  1. Provide guidance on how learners can use their credentials.
  2. Explain why they should share them.
  3. Use learner engagement strategies that encourage sharing.
  4. Engage and reward learners who share their credentials online.

An easy way to knock out all four? Accredible’s Email Campaigns.

Thomas Mastro, Director of Strategic Initiatives and Planning at The George Washington University’s College of Professional Studies, saw the value right away: “Because a large majority of our student population are working professionals, many of them are active on LinkedIn. Adding badges and certificates to their LinkedIn page is impactful in the sense that then their networks will see, and possibly engage in, our programming.”

He and his team deployed a Credential View Reminder, sent one week after a “Congratulations, here is your badge” email, and a LinkedIn Share Reminder, sent one month later to remind students to share their certificates on LinkedIn.

Screenshot example of strategic email reminder campaign

A strategic email reminder sample highlighted in Unlock the Power of Email Campaigns

These strategic email reminders alone increased the University’s LinkedIn profile credential add rate by 133% and its LinkedIn share rate by 580%. Thomas plans to launch more Campaigns, pinging students who get halfway through sharing their certification (to push them to follow through) or emailing past learners when new coursework rolls out (to increase reenrollment).

4. Keep Learner Engagement Going

What the Data Says

According to the State of Credentialing report, more than 9 out of 10 learners plan to take more courses and are actively looking for recommendations from their education providers. However, 1 in 4 don’t follow through because they don’t know what to take.

Our data also suggests that learners are looking for ways to leverage their credentials for future opportunities. 84% of learners report wanting to be included in an online directory, yet only 35% of issuers provide the opportunity.

This tells us that issuers are missing a significant opportunity to meet learner expectations post-course completion to retain them and help connect them with future opportunities.

What You Can Do

First, review all of your existing courses and determine what the next step for your learners would be. Myriam at MIT Professional Education did just that, examining 50 of the program’s top courses, noting the course or certificate learners should aim to take next, and including them in the earned digital credential emails.

The team also provides course recommendations via Accredible’s Recommendations on digital credential pages (its own and other issuers’ pages) and prominently at the top of CourseFinder, a credential directory and course search platform. In doing so, MIT Professional Education better markets its courses to new and existing learners, generating additional program enrollment and revenue.

With Recommendations, MIT Professional Education has generated over 5 million impressions with current and future learners — generating over 18,500 additional program referrals. 

“Since we’ve started using Recommendations, we’ve seen a lot more learners who earned credentials take additional courses,” says Myriam. “When we started, we had around 35% of learners return, but now we’re over 50% taking additional courses.”

Screenshot example of Accredible's Recommendations on digital credential pages

Accredible’s Spotlight Directory is another way for learners to maximize their credentials. Wharton Executive Education built a “Wharton Talent Network” to showcase alumni who’ve earned credentials, with a short description of their professional experience, work availability, and links to their social media profiles. Employers can filter results by credentials, skills, or even location to home in on highly qualified candidates for specific roles.

Screenshot of the Wharton Talent Network, built on Accredible's Spotlight Directory

5. Make Metrics Your North Star

What the Data Says

Bar chart representing data about what learners wantIt’s hard to know what learners want without a direct line of sight into learner data. Yet only 54% of issuers track which learners complete a course, and a mere 23% track which learners take additional courses.

Less than 50% track what content or courses learners are most engaged with, which learners are most engaged, course completion time, and where learners drop off – all critical data points for enhancing the learner experience.

Worse, only 13% of issuers track program referrals from shared credentials. If they still use paper or PDF certificates, tracking how and how often they are shared is nearly impossible.

What You Can Do

As a marketer, Myriam Joseph, the Assistant Director of Marketing and Business Development at MIT Professional Education, immediately saw their certificate program as a way to amplify MIT’s exceptional network. However, to get learners to share, she had to see what was happening behind the scenes and modify her marketing strategies accordingly.

She and her team used Accredible’s analytics to:

  • Monitor open rates, following up with the students who hadn’t yet opened their certificates
  • Track credential shares, engaging with students who posted about their accomplishments on LinkedIn
  • Follow credential referrals, determining which courses were most intriguing to potential learners

At the same time, Myriam made it easy for potential learners to explore added courses, taking them straight from a student’s credential LinkedIn post to their course catalog.

“We made it easy for them to learn more about that program and bring them back to our website,” she says. “But most importantly, we worked with Accredible to add tracking to all of these actions so that we can measure them. And we were able to see how many new people came in through Accredible and entered our lead pipeline so we could nurture those learners.”

Since shifting to digital credentials and optimizing the MIT Professional Education program, Myriam and her team have issued over 75,000 digital certificates, hit a consistent 90% open rate, boosted credential referrals by over 55%, and increased LinkedIn share rates by a staggering 280%.

Where to Go Next

The strategies outlined in this playbook aren’t just theoretical — they’re proven approaches used by leading education programs to drive growth and engagement.

Remember, transforming your program isn’t about making radical changes overnight. It’s about strategic, data-driven evolution that keeps your learners’ career needs at the center of everything you do.

The institutions that will thrive in 2025 will be those that view their programs not just as educational offerings but as dynamic career development platforms.

Here’s to making 2025 your best year yet!

 

About Rochelle Ramirez

Rochelle Ramirez is the Senior Vice President of Product at Accredible, the world’s leading digital credential platform. She has helped hundreds of organizations achieve their credentialing goals through her strategic market thinking, execution, and leadership. In her various product leadership roles over the past two decades, she has harnessed her passion for innovation to help clients solve their most demanding business challenges. Connect with Rochelle on LinkedIn.

As I write this at the dawn of 2025, I believe a scan of a few of the most recent developments in generative AI in higher education helps to illuminate the path this technology will take in the coming year.

I publish a number of daily news update blogs for UPCEA, the Online and Professional Education Association:

I scan primary news sources, other publications, research reports and press releases in related fields daily to post major developments, trends and visions of technological, pedagogical, political and related aspects of our field to the blogs. The pace of change has accelerated over the past couple of years. Yet, from these daily readings come indications as to what is likely to gain a foothold in higher education in the coming year or two. I invite you to peruse a handful of developments shared in the blogs in recent weeks, and ponder their implications in our field, so you may see what I see ahead.

“The AI-Generated Textbook That’s Making Academics Nervous,” Kathryn Palmer, Inside Higher Ed, Dec. 13

“The University of California, Los Angeles, is offering a medieval literature course next year that will use an AI-generated textbook. The textbook, developed in partnership with the learning tool company Kudu, was produced from course materials provided by Zrinka Stahuljak, the comparative literature professor at UCLA teaching the class. Students can interact with the textbook and ask it for clarifications and summaries, though it’s programmed to prevent students from using it to write their papers and other assignments. And as opposed to the nearly $200 students were required to spend on traditional texts—including anthologies and primary-source documents—for previous versions of the course, the AI-generated textbook costs $25.”

“OpenAI launches real-time vision for ChatGPT,” Martin Crowley, AI Tool Report, Dec. 13

“First announced in May, OpenAI has finally released real-time vision capabilities for ChatGPT, to celebrate the 6th day of the ‘12 Days of OpenAI.’ Users can now point their phone camera at any object, and ChatGPT will ‘see’ what it is, understand it, and answer questions about it, in real-time. For example, if someone was drawing an anatomical representation of the human body, it can offer feedback like ‘the location of the brain is spot on, but the shape is more oval.’ It can also ‘see’ what’s on a device screen and offer advice, such as explaining what a menu setting is or providing the answer to a math problem.”

“Predictions 2025: Insights for Online & Professional Education,” UPCEA, December 2024

“As we look toward 2025, the landscape of higher education is poised for significant transformation driven by technological advancements, shifting demographics, and evolving economic realities. This series of predictions from UPCEA’s team of experts highlights key trends that will shape institutions and student experiences alike. From the rise of outsourcing in C-suite roles to the increasing demand for microcredentials and the integration of AI in academic programs, these trends reflect a broader movement towards flexibility, efficiency, and a focus on outcomes. Explore what 2025 has in store for online and professional education, and use these 23 expert predictions to gain an understanding of what it means for you and your organization.”

“Opinion: AI gives higher education opportunity to adapt,” Brian Ray, Patricia Stoddard Dare and Joanne Goodell, Crain’s Cleveland, Dec. 12

“These AI systems offer new opportunities for educators to create sophisticated curricula tailored to individual student abilities and interests. At the same time, the powerful capabilities of LLM models challenge traditional teaching methods by allowing students to quickly complete assignments from research papers to computer code with little or no original effort. Orienting toward ‘authentic assessment’ allows educators to use the sophisticated potential of AI systems while addressing these concerns. Authentic assessment focuses on designing tasks that simulate real-world challenges and involve critical thinking and collaboration.”

“OpenAI Chatbots for Education: Custom GPTs to Possibly Help Improve Online Learning,” Isaiah Richard, Tech Times, Dec. 26

“In the two years since generative AI was first introduced to the world, they have significantly improved after delivering significant problems that made them untrustworthy to many users. However, that is not yet over as there are still tendencies that chatbots may hallucinate. Despite this, the likes of OpenAI and other learning institutions are now looking towards creating custom models that would deliver online learning for many students worldwide. Now, OpenAI is making its massive and aggressive move towards entering the education industry with its plans to create custom GPTs that are meant to teach thousands of online students, and the company thinks it can do it.”

“AI-authored abstracts ‘more authentic’ than human-written ones,” Jack Groves, Times Higher Education, Dec. 15

“Journal abstracts written with the help of artificial intelligence (AI) are perceived as more authentic, clear and compelling than those created solely by academics, a study suggests. While many academics may scorn the idea of outsourcing article summaries to generative AI, a new investigation by researchers at Ontario’s University of Waterloo found peer reviewers rated abstracts written by humans—but paraphrased using generative AI—far more highly than those authored without algorithmic assistance.”

“Google’s NotebookLM AI podcast hosts can now talk to you, too,” Jay Peters, The Verge, Dec. 13

“Google’s NotebookLM and its podcast-like Audio Overviews have been a surprise hit this year, and today Google company is starting to roll out a big new feature: the ability to actually talk with the AI ‘hosts’ of the overviews. When the feature is available to you, you can try it out with new Audio Overviews. (It won’t work with old ones.)”

[Ray notes: Imagine using this for a lecture where you give content documents to NotebookLM. In moments, it creates a professional “lecture” podcast, which students can interrupt at any time to ask questions and instantly get answers from the “hosts” before returning to the podcast/lecture.]

“OpenAI brings ChatGPT to your landline,” Kyle Wiggers, TechCrunch, Dec. 18

“ChatGPT is coming to phones. No, not smartphones—landlines. Call 1-800-242-8478 (1-800-CHATGPT), and OpenAI’s AI-powered assistant will respond as of Wednesday afternoon. ‘[Our mission at] OpenAI is to make artificial general intelligence beneficial to all of humanity, and part of that is making it as accessible as possible to as many people as we can,’ OpenAI chief product officer Kevin Weil said during a livestream. ‘Today, we’re taking the next step and bringing ChatGPT to your telephone.’ The experience is more or less identical to Advanced Voice Mode, OpenAI’s real-time conversational feature for ChatGPT—minus the multimodality. ChatGPT responds to the questions users ask over the phone and can handle tasks such as translating a sentence into a different language.”

“How Employees Are Using AI in the Workplace,” Molly Bookner, Hubspot Blog, Dec. 17

“Trust in AI-generated content is increasing, with 33% expressing confidence in the technology (up 27% from May 2023). Furthermore, 39% of full-time employees in the U.S. report having already used an AI chatbot to assist them, with 74% acknowledging the tools’ effectiveness. ‘The implementation of AI in the workplace helps augment staff performance, streamline human resources operations, improve employee experience, and promote cross-team collaboration,” said Aleksandr Ahramovich, Head of the AI/ML Center of Excellence. In a survey released May 13 by TalentLMS in collaboration with Workable, conducted among 1,000 employees working across U.S. industries, 50% of U.S. employees agreed their current job would benefit from integrating AI technologies.”

“AI Will Evolve into an Organizational Strategy for All,” Ethan Mollick, Wired, Dec. 15

“While the integration of AI into our daily lives has happened very quickly (AI assistants are one of the fastest product adoptions in history), so far, organizations have seen limited benefits. But the coming year will mark a tipping point where AI moves from being a tool for individual productivity to a core component of organizational design and strategy. In 2025, forward-thinking companies will begin to reimagine their entire organizational structure, processes, and culture around the symbiotic relationship between human and artificial intelligence. This isn’t just about automating tasks or augmenting human capabilities; it’s about creating entirely new ways of working that leverage the unique strengths of both humans and AI. The key to unlocking the true power of LLMs lies in moving beyond individual use cases to organizational-level integration.”

I hope this sampling of mid- to late December updates from the blogs will help to illustrate the broad, rapid and highly impactful changes that are poised to affect higher education. As Wharton professor Ethan Mollick suggests above, “In 2025, forward-thinking companies [universities?] will begin to reimagine their entire organizational structure, processes, and culture around the symbiotic relationship between human and artificial intelligence.” Are you and your institution prepared?

This post was originally published on Inside Higher Ed.

A person (Vickie Cook) smiling

By Vickie Cook

Enrollment management plays a pivotal role in the success of any online and professional continuing education units through impact on revenue generation, learner engagement, and program sustainability. AI-driven business process automation (BPA) offers transformative solutions to streamline enrollment workflows, enhance recruitment strategies, and improve the overall student experience through allowing staff to focus on human interactions while BPA supports repetitive back-office tasks. Business process automation allows units to determine where their efforts can best be used for their clients and students and which processes are better aligned to being managed through machine learning and automation.  For online and professional continuing education units, achieving AI readiness is essential to integrating BPA tools effectively.  This integration allows staff to be more effectively in dealing with clients, students and customers building relationships. 

Streamlining Enrollment Processes 

Automation can significantly reduce manual workloads associated with enrollment management back-office tasks. Processing applications, verifying documents, and managing waitlists can be handled most efficiently by AI systems. For example, optical character recognition (OCR) tools powered by AI can digitize and validate transcripts, while machine learning algorithms can prioritize applications based on predefined criteria. This not only reduces administrative errors but also accelerates response times, enabling institutions to meet learners’ expectations for faster decisions. 

Enhancing Recruitment through Marketing 

AI readiness enables online and professional continuing units to adopt data-driven recruitment strategies. By analyzing historical enrollment data, AI can identify patterns and predict which programs are likely to attract the most interest.  Additionally, predictive analytics can be utilized to determine likelihood of completion. AI-powered tools like customer relationship management (CRM) systems can personalize marketing campaigns, deliver targeted messages to prospective students based on their interests, location, or professional background. For instance, CRM systems can use AI to segment audiences and optimize outreach efforts, leading to higher conversion rates. In today’s competitive environment, it is important to consider the impact of hyper-personalization with students searching for their continuing education partners to help them meet their goals. 

Improving Retention Through Predictive Analytics 

Retention is a critical factor in the success of online and professional continuing education programs. AI-driven predictive analytics can identify at-risk students by analyzing factors such as attendance, grades, and engagement within learning management systems. Online and professional continuing education programs units can then implement timely interventions, such as offering tutoring, adjusting course loads, offering career building engagements, or providing financial counseling. While more research in this area is needed related to the impact of machine learning and AI on retention efforts, it is apparent from those that have been published the AI may demonstrate more effective student feedback to support overall student retention efforts.  It is critical that all communications with students and the determination of data analysis should be reviewed carefully for bias and discrimination that may inadvertently lower student persistence. 

Concluding Thoughts 

AI-driven strategies may be a game changer for enrollment management practices in continuing education. By streamlining processes, enhancing recruitment efforts, and improving retention, AI empowers online and professional continuing education programs units to address the challenges of a competitive higher education landscape. By leveraging AI effectively, online and professional continuing education programs units can ensure their enrollment management strategies are both innovative and impactful, fostering sustainable growth and learner success.  

To learn more about the impact of being AI ready on enrollment management: 

  1. IACTE (2024). Artificial Intelligence in adult learning: IACTE’s guide to the future of learning. https://www.iacet.org/miscellaneous/iacet-information-brief-generative-ai-in-ce-t/  
  1. Robert, J. (2024).   The Future of AI in Higher Education Administration. EDUCAUSE. https://www.educause.edu/ecar/research-publications/2024/2024-educause-ai-landscape-study/the-future-of-ai-in-higher-education  
  1. Bashkara, V. (2024). How AI admissions recruiters will transform enrollment.  https://www.forbes.com/sites/vinaybhaskara/2024/05/21/how-ai-admissions-recruiters-will-transform-enrollment/ 

 

Vickie Cook is the Vice Chancellor for Enrollment and Retention Management and a Research Professor of Education at the University of Illinois Springfield, as well as a Strategic Advisor for UPCEA Research and Consulting.  To learn more about UPCEA Research and Consulting, please contact [email protected].