Tag: human

  • Access partnerships need human relationships, not just programmes

    Access partnerships need human relationships, not just programmes

    Our schools and universities are experiencing difficult circumstances. One particularly worrying challenge – which is happening at the intersection of both – is the decline in widening participation.

    Recent research from the Education Policy Institute shows that widening participation in higher education in England has stalled.

    Despite a constant focus from the sector on the issue, young people eligible for free school meals remain half as likely to participate in higher education as their wider peer group.

    While various approaches exist nationwide, partnerships that directly connect university students with potential future applicants create unique opportunities for building social capital across communities.

    Models like this don’t just address academic attainment gaps – they forge meaningful relationships between people who might otherwise never interact, enriching both sides through expanded social networks and shared experiences.

    Our new agreement between the Tutor Trust and the University of Salford is a good example. The partnership enables Salford students to provide tutoring to local Year 6 pupils as they make the critical transition from primary to secondary school.

    The University of Salford has a strong track record of working with young people from disadvantaged backgrounds to improve access to higher education. Our latest figures show that out of our nearly 27,000 current students, 50 per cent are first in family to attend university, and 49 per cent of students identify as minoritised ethnic.

    Our new partnership represents one of several approaches universities are implementing to create authentic connections between their current students and young people in their communities.

    Similar initiatives can be found across the higher education landscape. The University of Bristol’s Bristol Scholars programme connects current students as mentors with local schools, while Kings College London’s K+ programme creates long-term engagement between undergraduates and sixth form students from underrepresented backgrounds. What unites these initiatives is their focus on genuine, sustained human connection rather than simply institutional outreach.

    We have identified five ways in which these student-centered partnerships can increase widening participation in higher education:

    Closing the attainment gap

    At the core of successful widening participation is improved academic attainment for young people from low-income households.

    Currently at the end of Key Stage 2, the attainment gap in Salford between disadvantaged young people and their more privileged peers is 12 months, and this gap increases to 21.8 months by the end of Key Stage 4. In comparison, the attainment gap at the end of secondary school in London is 10.5 months.

    There is extensive evidence that tutoring is one of the most effective interventions to accelerate academic progress. When delivered by university students, this intervention simultaneously addresses the immediate attainment gap while building aspirations through organic relationships.

    Alleviating financial pressures

    Effective student-led programs must be delivered at no cost to pupils and minimal cost to schools, ensuring no family has to choose between their child’s education and essential living costs.

    These models also typically provide fair compensation to student tutors, with rates well above minimum wage. This dual benefit addresses financial barriers on both sides – removing cost as a barrier to access for school pupils while providing meaningful income for university students who may themselves come from disadvantaged backgrounds.

    Providing authentic role models

    When tutoring is delivered by university students, they naturally become relatable role models who help inspire their tutees to consider higher education as a realistic pathway.

    Research shows that pupils with tutors from similar backgrounds demonstrate higher engagement and increased academic progress. This highlights how representation matters – for young people from low-income backgrounds to see university as a realistic option, they benefit tremendously from interacting with people from similar lived experiences who are already succeeding in higher education.

    Integrating workplace skills into the student experience

    To ensure universities attract and retain students from all backgrounds, higher education must demonstrably prepare students for future careers. Recent surveys found that 72 percent of students feel universities could do more to integrate workplace skills into the curriculum.

    Student tutors develop invaluable real-world skills through their experiences in classroom settings, including communication, leadership, and adaptability. These experiences enhance their employability while allowing them to make meaningful contributions to their local communities.

    Building cross-community social networks

    Perhaps most important is how these partnerships build social capital across traditional divides. University students expand their understanding of diverse communities and challenges, while school pupils gain connections to networks they might otherwise never access.

    This exchange creates ripple effects beyond individual participants. Family members, friends, and wider community connections all benefit from these expanded networks, gradually breaking down the invisible barriers that often separate university and non-university communities.

    Education Secretary Bridget Phillipson recently wrote to all universities asking them to expand access and outcomes for disadvantaged students, aiming to remove structural barriers and improve inclusivity. Student partnership models of this sort directly respond to this call by addressing both immediate academic needs and deeper systemic barriers.

    Developing strong, community-led partnerships that connect real students with real potential applicants has never been more important. These models don’t just increase university participation statistics – they weave new social fabrics across communities, building mutual understanding and respect. When university students work directly with younger students from their surrounding communities, both groups gain perspective, connection, and belonging.

    The most powerful widening participation initiatives recognise that sustainable change requires more than institutional programs – it requires human relationships. When we invest in models that prioritise these connections, we create pathways to higher education that are supported not just by academic readiness, but by expanded social networks and authentic community bonds too.

    It improves the life chances of young people, benefits our universities, strengthens local communities, and ultimately creates a more cohesive society.

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  • The Human Touch: Why AI in Higher Ed Matters

    The Human Touch: Why AI in Higher Ed Matters

    Having spent years in higher education enrollment and marketing, I’ve know firsthand the dedication it takes to connect with prospective students and ensure their success, keenly aware of the immense effort required, the daily challenges teams face in standing out amidst a sea of institutions, and the ever-increasing workloads they manage. And, at the center of all of this is a profound passion for making a real difference in students’ lives and a deep commitment to the unique mission of each university.

    The exciting prospect I see now is how artificial intelligence can actually empower us to achieve these very goals more effectively, without sacrificing the crucial human touch that is critical to the student experience.

    The true power of AI at universities

    The true power of AI in student engagement isn’t about replacing people; it’s about freeing up our teams to invest their time and energy where it truly matters – nurturing meaningful relationships with students. By automating routine tasks and offering valuable data-driven insights, AI provides us with a unique opportunity to connect with students on a deeper level. We can better understand their individual needs and interests, allowing us to provide personalized support that genuinely sets them up for success.

    AI can help enrollment teams sift through hundreds of thousands of inquiries to find those students who will find their path in life thanks to the unique offerings of their university. I don’t know an enrollment team that says they are fully staffed, and AI will give our already stretched teams more time back in their day to really connect with these prospective students. The reward of seeing these students thrive on campus and later succeed in their chosen fields, knowing you played a part in their journey, is deeply fulfilling and why many of us work in higher education.

    Discover RNL Edge, the AI solution for higher education

    RNL Edge is a comprehensive suite of higher education AI solutions that will help you engage constituents, optimize operations, and analyze data instantly—all in a highly secure environment that keeps your institutional data safe. With limitless uses for enrollment and fundraising, RNL Edge is truly the AI solution built for the entire campus.

    Ask for a Discovery Session

    And let’s consider the experience students have once they are on campus. It’s not just about sitting in class and absorbing information; it’s about navigating a complex environment, discovering one’s place and passion, and building a foundation for the future. Students need guidance, encouragement, and consistent support throughout this journey. This is where the human element is indispensable. AI can be a powerful tool in identifying students who may be facing challenges, enabling us to offer targeted support and help them overcome obstacles that might otherwise slow or even block their progress.

    Beyond simply reacting to challenges, AI can empower us to be more proactive. It can help us identify students who might be at risk academically or personally, so we can provide timely support before they fall behind and withdraw. It can also help us tailor our teaching methods to better suit the diverse needs of individual learners, moving away from a one-size-fits-all approach. And crucially, AI can help us measure the effectiveness of our programs faster, making the goal of data-informed decisions for continuous improvement possible across the university.

    Ultimately, the goal of using AI at your university should be to cultivate a more personalized, more effective, and more compassionate learning environment. It’s about empowering students to reach their full potential and making a lasting positive impact on their lives. By integrating AI in a way that enhances, rather than replaces, human interaction, we can build a more supportive, more present, and more successful learning experience for every student. If you are ready to learn more about how AI can help your university, schedule a discovery session with RNL to see firsthand how AI can empower your teams, enhance student experiences, and drive academic success.

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  • Banking on Human Capital: How RBC Sees the Future of Talent, Innovation, and the Role of Post-Secondary Institutions

    Banking on Human Capital: How RBC Sees the Future of Talent, Innovation, and the Role of Post-Secondary Institutions

    Canada’s heading into some pretty choppy waters in 2025. For a century or so, we’ve had a one track economic strategy, closer integration with the United States. Now, the Trump administration with its faith in tariffs as an instrument of both power and corruption, has essentially nuked that strategy, at least as far as the trading goods is concerned. There’s a lot of change coming to Canada, and it’ll be costly. In much the same way that diplomatic evolution and defense needs are forcing European countries to look at higher education in a different light, Canadian universities are looking around at their new situation very nervously too.

    In Canada right now, a few people are making the case for change as strongly as John Stackhouse. John’s the ex editor-in-chief of the Global Mail. He’s now a Senior Vice President at the Royal Bank of Canada, leading that organization’s economics and thought leadership group. He’s the lead author of a recent report called “A Smarter Path, the Case for Post-Secondary Reform.” This report makes a number of, shall we say, uncomfortable observations about the relationship between Canadian higher education and the Canadian knowledge economy, in particular, between high spending and high graduate numbers on the one hand, and low productivity and significant levels of graduate underemployment on the other.

    Though the report does not directly address the issue of Trump or tariffs — it was released 48 hours before Liberation Day — it has added to the sense in Canada that the higher education sector is headed for and indeed needs a shakeup. And just to come clean for a moment, we here at Higher Education Strategy Associates are in a partnership with John and RBC and the Business Higher Education Roundtable, putting together a series of events culminating in a policy summit on post-secondary education in late September of this year.

    In the interview today, I talked to John about what the Canadian system’s biggest challenges are, how universities and businesses can more effectively partner with one another, and why Canadian political parties are increasingly shy about betting on the knowledge economy. But enough for me. Let’s turn it over to John.


    The World of Higher Education Podcast
    Episode 3.30 | Banking on Human Capital: How RBC Sees the Future of Talent, Innovation, and the Role of Post-Secondary Institutions

    Transcript

    Alex Usher (AU): Okay, John, why does a bank care so much about post-secondary education?

    John Stackhouse (JS): That’s a fair question, Alex—and thank you for including us in the podcast. If I can put it in terms of capital, maybe that’s what people would expect from a bank. Our economy, and the society that depends on it, relies on different kinds of capital. We have natural capital, technology capital, and of course, financial capital—which you’d expect from a bank. But just as critical is human capital. That’s core to the economy.

    There’s nothing new in saying that, except to emphasize that from RBC’s perspective, when we look at Canada’s prospects through the 2030s and the prosperity we hope to achieve, we need to think seriously about how we harness all these forms of capital: natural, financial, technological—and critically—human capital.

    We need to develop a more prosperous economy and society, but also the kind of vibrant communities that companies want to be part of, and that we as individuals want to contribute to. As a bank, that matters to us. Our purpose is to help clients thrive and communities prosper—and both of those depend on human capital. We hear that from our clients, our community partners, and our employees. So those are just some of the reasons why RBC is leaning into the post-secondary conversation.

    AU: In the paper you co-wrote, you describe Canada’s post-secondary education system as being slow, costly, and often out of sync with the economy. I think those are fairly common criticisms of higher education around the world. Do you think there’s something specific to Canada in that critique? Or is this more of a general observation about modern higher ed?

    JS: There’s probably some parchment from a thousand years ago where an education critic wrote, “You’re too slow, too costly, and out of touch with the economy.” -Signed, the monks of higher education. But yes, it’s fair to say that Canada isn’t alone in facing these challenges. That said, there are a few things that may be more pronounced here. One is that we’ve been a bit of a victim of our own success. We have a lot of post-secondary education in this country, but we haven’t differentiated enough within the system.

    Continental Europe, for example, continues to differentiate in ways we haven’t. So we end up producing graduates with degrees and diplomas that are too similar—and not always aligned with specific needs.

    We also haven’t allowed the business model to evolve at the pace of the economy or society, or even the expectations of students and educators. Many of them know the world is moving faster than our institutions are.

    And then on the research side—which I’m sure we’ll get to—we really lag behind. As an advanced economy, a G7 country, we’re not where we should be in post-secondary research. Part of the issue lies with the private sector—we haven’t integrated research and business to the degree that an advanced economy will need to in the 2030s.

    AU: RBC has been a really strong voice on the education–work connection. What are employers still not getting from the current system? And what responsibility do you think they have in helping to improve it?

    JS: There’s definitely a shared responsibility—and thanks for mentioning RBC’s commitment to work-integrated learning. One of the reasons we’re so invested in this is because our CEO, Dave McKay, is a product of the co-op system at Waterloo. He has a deep belief that work-integrated learning not only improves the student experience, but also strengthens the education system itself.

    When students return to the classroom after applying their knowledge in the real world, it deepens their learning. And it also improves the organizations they work with. At RBC, we hire a couple thousand co-op students every year—not just programmers from Waterloo, but fantastic interns from TMU and a wide range of colleges and universities across the country.

    We benefit from that. It improves how we work. Yes, it creates a talent pipeline—but we’ve also seen something more transformative. Over the past decade, we’ve started giving our co-op students real challenges to solve. We form teams, provide some management support, and tell them: here are some of our biggest problems—see you in August. Then they present their ideas to senior leadership in what’s essentially a competitive showcase. We’ve had around a hundred patents come out of that system.

    Students bring critical thinking, fresh perspectives, and a collaborative mindset that they develop in post-secondary. They often arrive with stronger teamwork skills than we could teach them from scratch, and they’re able to apply those skills to real problems.

    So what do employers need to do? They need to treat this as a serious investment in their own businesses. It’s a way to drive change, but it requires resources. You have to hire people who are good at managing these programs. Students don’t just walk in and figure it out on their own—it’s not Lord of the Flies. It takes organizational effort.

    AU: Let’s talk about what educational institutions are doing. I got the impression from the report that you think they still need to do more to align educational outputs with labor market needs. That said, there’s been a lot of progress over the last decade: growth in work-integrated learning, the rise of microcredentials, experiments with competency-based learning. But it sounds like you don’t think that’s enough. What more needs to happen?

    JS: Sadly—or depending on your perspective, maybe excitingly—none of us are doing enough. That’s partly because of technology, but also because of broader global forces. The world around us is changing faster than most of us are able to keep up with—including large organizations, small businesses, and educational institutions.

    The pace of change is accelerating, and it will only continue to do so. Institutions need to become much more change-minded in how they operate. That’s hard in education, for all the reasons your listeners will understand.

    One major challenge is the business model. It’s becoming a crisis. Post-secondary institutions aren’t getting the funding they need. Everyone knows that—but they’re losing the argument in the public square when it comes to making the case for new funding. And given the pressures society is under, I don’t see that changing in a meaningful way anytime soon.

    So institutions need more freedom to change—to evolve their business models, including how they generate revenue. And that means becoming more connected to, and responsive to, the broader economy around them. That’s where many of the new opportunities lie.

    AU: John, we’ve been talking mostly about human capital, which you’ve said is a key concern for RBC. But what about research and the co-production of knowledge? What are the respective roles of post-secondary institutions and businesses? Why don’t we see the kind of close connection between enterprises and universities that exists in parts of Europe or the U.S.? What’s the missing link?

    JS: That’s a tough nut to crack—and one that people far smarter than me have studied and debated for decades. But part of the challenge lies in the private sector itself. In many ways, we’ve become too much of a “branch plant” and “hinterland” economy—living off the wealth of the land, our access to the U.S. market, and the dividends of an innovation economy.

    I wouldn’t say that’s coming to an end—because that would be overly dramatic—but we’re clearly experiencing a sharp shift. In an odd way, the Trump challenge to Canada is a bit of a gift. It’s forcing us to acknowledge that we can’t be so dependent on the U.S. market. That’s become a broadly shared Canadian view. We need to build stronger connections with other parts of the world—and that’s going to require more serious investment in R&D from our businesses.

    If we want to transform branch plants into independent, globally competitive facilities, especially ones that can succeed in European and Asian markets—despite the distance—we need to invest in research and development in a way we haven’t for a generation.

    New governments—federal and provincial—need to act with urgency. They should bring business leaders together and ask, “What do we need to build?” And not just through one-off tax incentives. We need to foster a culture of collaboration and dynamism between universities, colleges, polytechnics, and businesses to shape what I’d call a post-Trump Canadian economy.

    That’s not going to happen by copying Germany’s Fraunhofer model or Japan’s approach—those are deeply rooted in specific cultural contexts. We need to develop something uniquely Canadian.

    And we can’t afford to spend years on a Royal Commission or slow-moving studies. This needs to happen quickly. A new federal government could seize this moment to bring together the provinces and private sector with a sense of urgency—and maybe even a crisis mindset.

    AU: I’ll come back to the Trump issue in a moment, but going back to the report—you lay out a number of challenges in the sector: outdated budget models, over-credentialed but under-skilled graduates, and so on. What do you think is the most pressing reform Canadian post-secondary needs right now? What’s the weakest link in the system?

    JS: That’s a great question—and a hard one to answer. But I’d go back to the funding model. Post-secondary institutions need more flexibility to innovate with how they’re funded. They need to move beyond the constraints of provincial funding and develop new approaches to tuition and fees—ones that are more closely tied to performance, outputs, and outcomes.

    There also needs to be more competition within the sector. Most people I know in post-secondary are pretty enthusiastic about that idea—though, understandably, they’d like the model to be structured so they have a good shot at succeeding.

    I think provinces need to be nudged—and maybe not even that much—to open the door to more innovation, more competition, and a bit more daring on the institutional side.

    AU: I think the words you used in the report were “reasonable deregulation.” Tell me more about increased competition—are there things we could do to incentivize more new players in the system who might be more disruptive?

    JS: There’s nothing quite like new players. I’ve studied enough sectors over the years to see that when it comes to innovation, nothing works quite as well as a vibrant, well-funded new entrant. Encouraging that kind of disruption would move us forward significantly—and it would give creative people across the sector permission to come up with ideas they’re not even thinking about yet. That’s the power of competition.

    So one key step is reducing the regulatory barriers that prevent those new players from entering the space.

    I also think employers can play a bigger role by sending clearer market signals. That could be as simple as hiring differently. We tend to recruit from the same institutions over and over—often for good reasons—but “like hires like.” If we want to encourage new entrants, we have to show that their graduates will have good job prospects. That kind of signal travels fast—even down to the high school level, where students are making decisions about their future.

    AU: Outside the scope of the report, you’ve been very outspoken in recent months about the gravity of the threat Canada faces from the U.S. under Trump. You spoke at the Business + Higher Education Roundtable event, and I know people who heard your remarks were quite sobered by them.

    There are clearly big changes coming to the country as a whole. What are the implications for universities? What changes do you think are now baked into the systems of government subsidy and regulation because of the shifting geopolitical situation?

    JS: It’s unfortunate that colleges and universities aren’t more central to the Trump-related conversation. We’re hearing a lot about pipelines, export infrastructure, and ports—which are all important. We’re also hearing a lot about trade-exposed sectors: autos, steel, aluminum, even pharmaceuticals. Guess what? All of those sectors depend on post-secondary institutions.

    So how are we thinking about the steel plant of the future that might be exporting more to Europe or Asia? It’s going to need incentives to retool. The same goes for auto plants that may need to shift into different kinds of manufacturing—including, potentially, defense production as we scale up defense spending. What kind of talent will be needed for that? How are schools in those regions adapting? And to your point about research—how can we better integrate the research side of those institutions into this transformation?

    They’ll need to develop new models—and we need to incentivize that shift. The good news is, I think there will be more money on the table. But it will be different kinds of research and institutional funding than what we’ve seen in the past. And that could be a good thing.

    So how do colleges and universities rise to that challenge? There could be tens of billions of dollars available to support economic transition. They’ll need to step up and play a leading role—and if they do, they’ll be rewarded for it.

    Interestingly, there’s already growing enthusiasm to attract academic talent from the U.S.—what some are calling “Trump intellectual refugees.”

    I’ve seen similar cycles before. After 9/11, during the Bush years, there was a similar kind of excitement. Star academics moved here as a sort of cultural vote for Canada. But that kind of movement doesn’t tend to be sustainable—or even all that interesting—from a long-term perspective.

    So how do we make it sustainable and interesting? One idea, from someone else, is to create a kind of Canada Research Chairs 2.0 for the late 2020s.

    Not a play to say “Come escape Trump,” but rather to say: if you’re an entrepreneurial, ambitious academic working in areas that matter to Canada, there’s no better place in the world to be right now than here.

    AU: One of the points you touched on earlier is that political parties seem to be responding to aggressive tariffs on exports by doubling down on producing goods. I find that kind of strange—surely one of the answers is to pivot more toward services. We’re not especially strong in that area, and in theory, that’s where universities should have an advantage. Why do you think we’re pushing so hard on goods while letting the services side drift?

    JS: That’s a great observation. We’ve become more of a services—or maybe better put, an intangibles—economy. A knowledge economy. That was a popular thing to say a decade ago, though it’s become a bit derided since.

    But we need both. You can have intangibles on their own, but the best ones tend to emerge from tangible activities.

    We need to play to our strengths, and that includes our resource economy. One of the things we noted in our study is that post-secondary doesn’t align with the resource economy as well as it should. That doesn’t mean just producing miners and rig operators—though those roles will still matter for years to come. There’s a whole spectrum of science and discovery we’ve long excelled at, and we need to scale that up if we want to lead in critical minerals, for example.

    It’s not just about having critical mineral mines or processing plants. We’ve shut down many of our best mining schools in this country, while China has established far more than we have—far more than you’d expect based on population size alone.

    So yes, we need to invest in the intangible—knowledge—side of that tangible sector. It’s not just manufacturing, as you said. It’s also processing and resource extraction, which are highly sophisticated fields. Those have earned Canada substantial academic recognition over the decades.

    We need to ensure that the intangible capacity we’re building in our universities and colleges remains closely tied to the real economy—especially to manufacturing and resource development.

    AU: Best case scenario—ten years from now—what does the Canadian post-secondary system look like? How is it different from today?

    JS: It would have much more variation. In fact, we might see something entirely new emerge—something that’s not quite a college, university, or polytechnic, but a distinct Canadian model.

    Just as Canada pioneered community colleges in the 1950s and ’60s, we have a chance to create a new tier. And this wouldn’t be at the expense of the existing systems—but something more suited to evolving needs.

    We’d have institutions that reflect and respond to the economy across all regions, including the far North. We don’t need to be physically present everywhere—we can do a lot of this remotely—but we do need our institutions to better reflect the realities of the country and the economy. And they need to be more connected to the world.

    You and I have talked a lot about the situation with international students. The real tragedy of what’s happened over the last decade would be if we abandoned the whole model. We had something that was largely good—it got mucked up—but that doesn’t mean we throw it out.

    We need to fix what went wrong. And we need to remain a destination for the best and most ambitious students from around the world. Ideally, we want them to stay—but even if they go back home, they can help connect us to the world.

    Because if we’re being honest with ourselves, what we’re really saying as Canadians—though maybe not quite this explicitly—is that we want to be a more global country. And our post-secondary system is one of the best tools we have to make that happen. But it will take a deliberate effort to reach out to the world—and there’s no sector better positioned to do that than post-secondary.

    AU: John, thanks so much for being with us today.

    JS: Thanks, Alex. I’ve really enjoyed it.

    Alex Usher: And it just remains for me to thank our excellent producers, Tiffany MacLennan, Sam Pufek, and you, our viewers, listeners, and readers for following us. If you have any questions or concerns about today’s episode or suggestions for future ones, please don’t hesitate to get in touch with us at podcast@higheredstrategy.com. Run, don’t walk to our YouTube page and hit subscribe. That way you’ll never miss an episode of the World of Higher Education Podcast.

    Join us next week when our guest will be Rómulo Pinheiro. He’s a professor at the University of Agder in Norway, and we’ll be talking about university’s role in the economic development strategies of rural and remote regions. Bye for now.

    *This podcast transcript was generated using an AI transcription service with limited editing. Please forgive any errors made through this service. Please note, the views and opinions expressed in each episode are those of the individual contributors, and do not necessarily reflect those of the podcast host and team, or our sponsors.

    This episode is sponsored by KnowMeQ. ArchieCPL is the first AI-enabled tool that massively streamlines credit for prior learning evaluation. Toronto based KnowMeQ makes ethical AI tools that boost and bottom line, achieving new efficiencies in higher ed and workforce upskilling. 

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  • AI and Student Recruitment: Bridging Technology and Human Connection 

    AI and Student Recruitment: Bridging Technology and Human Connection 

    Artificial intelligence (AI) is revolutionizing student recruitment, offering tools to meet the growing demands of efficiency and personalization. As higher education institutions face shrinking pools of applicants and increased competition, the ability to deliver targeted, meaningful engagement is more critical than ever. AI not only enhances how a college or university understands prospective students but also how it interacts with them at every stage of the enrollment journey. 

    Leveraging AI for Data-Driven Decision Making 

    At the core of these advancements are customer relationship management (CRM) systems like TargetX and Outcomes, which centralize student data and lay the groundwork for AI-driven insights in higher education. By integrating AI with CRMs, institutions can unlock the potential of their data to deliver smarter, more effective recruitment strategies. However, the key lies in leveraging AI to augment human effort, not replace it

    Analyzing Data for Actionable Insights 

    Enrollment marketing thrives on data, and AI enables institutions to transform raw information into meaningful insights. With centralized student data in place, AI tools can: 

    • Identify high-value prospects | Predictive modeling analyzes behaviors, such as frequent visits to financial aid resources or high engagement with email campaigns, to identify students with the greatest likelihood to enroll. 
    • Discover growth markets | AI uncovers patterns in geographic and demographic data, highlighting regions or populations with untapped enrollment potential. For example, data analysis might reveal an increasing interest in online programs among working professionals. 
    • Enhance segmentation | AI’s ability to analyze large datasets allows institutions to refine audience segmentation, enabling hyper-targeted campaigns tailored to specific student profiles. 

    Prescriptive Strategies for Recruitment 

    AI doesn’t just interpret data—it help enrollment management professionals generate actionable strategies to optimize recruitment efforts: 

    • Financial aid optimization | By evaluating a student’s financial profile and likelihood to enroll, AI can recommend targeted aid packages that maximize yield. 
    • Campaign personalization | AI suggests tailored outreach strategies, such as sending event invitations to students interested in specific programs or nudging inactive prospects with relevant content. 
    • Continuous improvement | Enrollment marketing campaigns benefit from AI-driven feedback loops that analyze performance data and recommend iterative improvements for future campaigns. 

    Enhancing the Student Journey with AI 

    AI in the Exploration Phase 

    Most prospective students begin their college search online, making search engines a critical touchpoint. AI has significantly altered how search engines present results, directly impacting recruitment efforts: 

    • AI-enhanced search results: Tools like Google Bard or ChatGPT increasingly offer conversational responses, summarizing key information without requiring users to click on external links. For instance, a search for “top nursing programs” might yield an AI-generated list, bypassing institutional websites. 
    • Adapting to AI-driven search: To stay competitive, institutions should create conversational, Q&A-style content optimized for AI algorithms. Structured data and schema markup can enhance visibility, ensuring accurate representation in AI-driven search results. 

    Personalization Across the Enrollment Journey 

    Personalization is no longer a luxury—it’s an expectation. AI enables enrollment marketers to deliver individualized experiences to potential students: 

    • Dynamic content | Emails, ads, and landing pages can dynamically adjust based on a student’s preferences or behaviors. For example, prospective engineering students might see content highlighting research opportunities, while transfer students encounter information about credit evaluations. 
    • Real-time engagement | AI-driven tools monitor student interactions and trigger timely responses. If qualified students visit a program-specific webpage multiple times, marketers can automate follow-up emails with relevant resources or event invitations. 

    Guiding Students Through Key Milestones 

    AI supports students by providing actionable, personalized guidance throughout the recruitment process: 

    • Next-best actions | AI-driven solutions can recommend tailored next steps, such as completing an application, scheduling a virtual campus tour, or exploring scholarship options. These nudges keep students engaged and on track. 
    • Proactive assistance | AI can analyze behavior patterns to identify potential barriers, such as incomplete applications, and prompt intervention. For instance, a student frequently visiting pages about financial aid might trigger outreach offering a one-on-one consultation. 

    Navigating the Limitations of AI 

    The Irreplaceable Value of Human Connection 

    While AI excels at data analysis and automation, human interaction remains indispensable: 

    • Fostering relationships | Admission counselors play a vital role in addressing nuanced questions, providing reassurance, and building trust during critical decision-making moments, all of which support student success. 
    • In-person engagement | Face-to-face interactions, whether through campus tours, phone calls, or personalized advising sessions, create memorable experiences that AI cannot replicate. 

    Challenges in AI-Generated Content 

    AI-generated content, while efficient, has limitations that institutions must navigate carefully: 

    • SEO considerations | Search engines prioritize high-quality, original content with human authorship. Over-reliance on AI-generated text can harm visibility and credibility. 
    • Authenticity matters | Prospective students value content that reflects institutional expertise and culture, reinforcing trust and engagement. 

    Striking a Balance Between Technology and Humanity 

    AI should enhance, not replace, human efforts. While AI handles initial outreach and data-driven recommendations, human staff focus on relationship-building and addressing complex inquiries. This synergy ensures a recruitment strategy that is both efficient and personal. 

    Supporting the Institutional Mission

    AI is reshaping student recruitment, offering powerful tools to analyze data, personalize engagement with the right student each time, and optimize strategies. However, its limitations underscore the importance of human connection and authentic communication. By leveraging an AI-driven recruitment strategy, institutions can enhance recruitment efforts and support student success while staying true to their mission of fostering meaningful connections with prospective students. 


    Jess Lanning began her career in higher education at a private university where she served as director of enrollment marketing on a record enrollment team. Over her decade-long career, she has focused on strategizing and implementing digital marketing campaigns as a senior vice president of strategy and senior partnership manager for higher education-specific agencies. In these roles, she served undergraduate, adult, and graduate audiences across the verticals of paid social, search engine marketing, search engine optimization, conversion rate optimization, digital PR, and user experience. Jess now serves as a Director of Digital Strategy at Liaison and we are very lucky to have her!

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  • Q&A With Sarah Bednarz of Human Geography

    Q&A With Sarah Bednarz of Human Geography

    Reading Time: 4 minutes

    1. Tell us a little bit about yourself and your background (current title, professional milestones, professional history, education, research works, hobbies, etc.)

    I am retired from Texas A&M University where I was a professor of geography. I also served as Associate Dean for the College of Geosciences for six years. I now live in Albuquerque, New Mexico with my husband who is also a geographer.

    I came into geography because of a deep curiosity about places I lived. As a child, because of my father’s job with Mobil Oil, I moved in the United States and overseas frequently. I always wanted to know “the why of where.” When I lived in New Zealand as a teenager, I discovered geography. The subject answered the questions I had about people, places, and environments. I majored in it in college (Mount Holyoke College) and after receiving an M.A. in Teaching (University of Chicago), I taught middle and high school for 14 years in Illinois and Texas.

    I loved teaching geography and felt passionately about its value to students in building key citizenship skills, but developed a concern about learning. What could I do to better help my students learn to think geographically? This led me to complete a Ph.D. in geography emphasizing education. My career as a geography educator has led to many great adventures and projects working to enhance the quality and quantity of geography education in K-12 and higher education. Despite retirement I continue to research and work particularly with early career faculty on teaching and learning issues. Travel, knitting, and hiking are my fun activities.

    1. What was your driving force behind the creation of Human Geography: A Spatial Perspective, and what aspects of this inaugural edition are you most passionate about?

    I had the privilege to work with an inspiring set of authors. Each of us had something special we emphasized. My particular passion was to feature the work of a range of geographers in the book, matching their research to the topics discussed, linking the actual work of geographers to teaching introductory human geography. I like to think of the book as less of a textbook and more of a view into the scholarship and scholarly achievements of geography.

    1. Human geography encompasses such a vast array of topics and cultures. In what ways does your textbook offer something unique and differentiating to the field?

    Our philosophy was to blend and emphasize two of the great traditions of geography — human-environment interaction and spatial analysis — to organize the content. As a professor, I always taught this course as the story of a few key concepts which can explain how the world works. We each have to develop a grand narrative and tell a story to help students also make sense of the ways that geographers see the world. It is a challenge — our students are used to thinking chronologically, not spatially. But acquiring that spatial habit of mind is very powerful. I hope the book supports students in this endeavor.

    1. Given the ever-evolving nature of human geography, how does your textbook discuss the complexities of current events and modern issues to remain relevant and impactful for students, and what are they?

    I think by emphasizing key concepts and principles of geography, students can acquire a framework that explains the key processes at work in the world today and the spatial patterns produced by those processes. It is up to instructors to present local and timely examples that support students in seeing the relationships between global trends and local conditions and events.

    1. How do you see this textbook deepening students’ understanding and fostering a more active engagement with its core concepts?

    Clearly the work of the featured NatGeo Explorers is inspiring and motivating. Their work connects the concepts of geography with real-world discoveries and provides examples of the power of geographic analysis.

    1. With learners from diverse academic backgrounds, how does your text accommodate both those specializing in geography or earth science, and those encountering it through general education?

    Geography is what is called a discovery major, that is, very very few students come to higher education committed to majoring in the subject. But that first introductory course, taught by a passionate and skilled instructor, can capture the imagination and interest of some who find that the subject has great explanatory power and is compelling. We designed this book to be accessible to a range of learners, with stunning visuals, clear writing, and intriguing features.  The intent is to provide a solid foundation for the general education student and be a tool to recruit the next generation of geographers.

    1. What do you hope instructors will take away from this textbook that will enhance their teaching?

    Featuring the work of contemporary explorers illustrates ways that faculty can connect exciting scientific discoveries with foundational concepts of geography. A second innovation that can transfer into the pedagogical practices of instructors is the use of the research of contemporary geographers.

    1. Lastly, what do you hope is the most significant takeaway students will carry with them after using your textbook?

    That geography’s unique and particular perspectives on the world can provide them with the knowledge, skills, and attitudes to make them better citizens and everyday decision-makers. Geography has tremendous intellectual and practical value, and I want more students to take advantage of this powerful subject.

     

    Sarah Witham Bednarz is a Professor Emerita of Geography and past President of the American Association of Geographers. She served as Associate Dean for Academic Affairs in the College of Geosciences, Texas A&M University, from 2008 to 2014 and as Principal Investigator on two major curriculum and educational research projects. Recently she cochaired the Geography Education Research Committee (GERC) of the 21st Century Road Map for 21st Century Geography Education Project.

     

    Want to know more about “Human Geography: A Spatial Perspective” by Sarah Witham Bednarz, Mark Bockenhauer and Fred Hiebert?  Explore this first edition here.

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  • Human predictions for AI in higher education in 2025

    Human predictions for AI in higher education in 2025

    The year 2023 was a watershed moment for artificial intelligence. ChatGPT made its way into classrooms, prompting educators to grapple with AI’s potential and pitfalls. Industry leaders like Sundar Pichai declared AI as transformative as fire or electricity, while others voiced caution, warning of ethical dilemmas and societal upheaval.

    Two years later, amid the headlines and hype, the deeper question remains: What will AI actually look like in our day-to-day lives in higher ed? Understanding how AI will shape learning, recruitment and operations by 2025 is no longer optional—it’s essential.

    Below are five key ways AI is poised to transform higher education in 2025. These predictions aren’t abstract theories; they’re practical insights to guide your strategic planning, help you stay competitive and ensure your institution thrives in an AI-driven era.

    1. AI Agents Will Revolutionize Learning and Administration

    AI-powered agents are on the cusp of becoming indispensable tools in higher education. These intelligent systems are already taking on roles as digital mentors, capable of guiding students through complex material with tailored feedback. You may be familiar, for example, with Georgia State University’s AI chat-bot pilot program that answered student questions about financial aid and registration, reducing summer melt by 21 percent. In 2025, such agents will act as personalized tutors, adapting to individual learning styles and offering real-time academic support.

    Beyond learning, AI will also streamline administrative operations. Routine tasks like course scheduling, admissions processing and answering common student inquiries will increasingly fall to these systems, freeing human staff to focus on strategic initiatives.

    Imagine admissions officers who no longer spend hours manually reviewing applications but instead analyze data-driven insights provided by AI agents to make quicker, more informed decisions.

    This year will also bring us a new generation of AI that doesn’t just respond but takes action. For example, with agentic AI, a text might automatically go out to an applicant who needs a nudge to submit remaining documents—without a staff member lifting a finger.

    The future of higher education will be defined by AI systems that seamlessly blend proactive support with human expertise, transforming both student success and institutional efficiency.

    1. Generative AI Search Will Reshape Digital Engagement

    Generative AI is changing how prospective students discover and interact with institutions online. Platforms like ChatGPT are making it easier for users to ask complex questions and receive synthesized, conversational answers. Instead of clicking through multiple webpages, users increasingly expect clear and direct responses. In 2025, this shift will make traditional SEO strategies less effective, forcing institutions to reimagine their digital presence.

    One way they might do that is to incorporate generative AI search into their websites. You’ve likely used generative AI search yourself in Google—it’s the AI overview at the top of the page when you do a search that shows a summary answer of your query drawn from the sites that would traditionally appear in a list of search results.

    To prepare for students using AI tools outside of your site (e.g., ChatGPT, Perplexity) to learn about your school or incorporate generative AI search into your own site, there are critical to-dos for your website content teams to make your content as relevant, up-to-date and engaging as possible.

    The stakes are high: AI often relies on the most visible or credible content to provide answers. Universities with fragmented or outdated digital strategies risk being left behind, while those with robust, high-quality content will find themselves highlighted in AI-driven searches.

    Institutions that prioritize creating unique, authoritative content—such as faculty research profiles or interactive student success stories—will gain an edge in this new search landscape.

    1. Hyperpersonalization Will Redefine Student Engagement

    The days of one-size-fits-all communication and student services have ended. In 2025, institutions will rely on AI to create hyperpersonalized experiences that resonate with each student’s unique needs and goals. Drawing inspiration from industries like retail and entertainment, universities will use AI to craft individualized learning paths, anticipate challenges and deliver targeted interventions before students even ask for help.

    For example, Purdue University’s Course Signals initiative uses data analytics to identify students who may be at risk of falling behind and sends personalized alerts encouraging them to seek support. This type of proactive engagement not only improves retention rates but also fosters a sense of belonging. As McKinsey aptly describes it, the future of student engagement hinges on embracing the “care of one.”

    However, this approach raises ethical concerns. Institutions must carefully manage data privacy and ensure that algorithms do not inadvertently disadvantage certain groups. Transparency about how student data is collected and used will be crucial in maintaining trust.

    1. Faculty and Staff Roles Will Evolve Alongside AI

    The integration of AI will not replace faculty and staff but will redefine their roles. In 2025, educators will focus less on rote instruction and more on mentorship, critical thinking and creativity. This shift is already evident in programs like Northeastern University’s Experiential AI initiative, which trains faculty to incorporate AI tools into their teaching to enrich the student experience.

    Marketing and admissions teams will also need to adapt. AI insights can reveal patterns in prospective student behavior, allowing teams to craft campaigns that resonate on a deeper level. However, this will require staff to develop new skills in data interpretation and digital strategy.

    The transition won’t be without challenges. Institutions must invest in professional development to help their teams thrive in an AI-enhanced environment. Collaborative efforts between IT, academic affairs and marketing will ensure the successful adoption of these technologies.

    1. Ethical Challenges Will Take Center Stage

    The adoption of AI presents significant ethical considerations that will shape its implementation in higher education. From ensuring unbiased algorithms to safeguarding student data, institutions will need to tread carefully. Recent incidents, such as the use of biased AI tools in hiring processes, highlight the risks of unchecked AI deployment.

    Higher education can lead the way by modeling responsible AI practices. For example, Stanford University has established an Institute for Human-Centered Artificial Intelligence, emphasizing the ethical use of AI technologies across disciplines. By prioritizing fairness, transparency and accountability, institutions can harness AI’s potential without compromising their values.

    Preparing for 2025 and Beyond

    AI will ultimately elevate higher ed. Institutions that embrace AI’s changes with foresight and care will enhance their competitiveness, improve operational efficiency and create more meaningful experiences for students and staff alike. Success will depend on a willingness to adapt, invest in ethical practices and put students at the center of every decision.

    Mallory Willsea is chief strategist and producer at Enrollify.

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  • Combining AI and Human Expertise to Better Protect K-12 Students Online

    Combining AI and Human Expertise to Better Protect K-12 Students Online

    protect-student-online-harmful-cyberbullying

    Content warning – this article discusses suicidal ideation. If you or someone you know is in crisis, call, text or chat 988 to reach the 988 Suicide and Crisis Lifeline, or visit 988lifeline.org for more resources.


    AI was one of the major themes of 2024.The discussion frequently revolved around its impact on work, but there are innovative ways it can be used to complement human insight to address significant societal challenges.

    For example, suicide was the second leading cause of death for people ages 10-14 (2022) according to the Centers for Disease Control and Prevention. This impacts everyone from families to educators. In one small Missouri town, a K-12 Safety Support Specialist was alerted when a student searched, “How much Tylenol does it take to die?” and “What is the best way to kill yourself?” These online searches triggered the school’s student safety tool which uses machine learning to identify harmful content. A specialist was immediately notified and was able to quickly intervene, providing the student with the necessary support to prevent self-harm. 

    There is an urgent need for effective solutions to protect students from threats like suicide, self-harm, cyberbullying, and exposure to harmful content. A combination of machine learning detection to allow for speed and scale, and human review to allow for context and nuance, is required for a comprehensive K-12 student safety tool. This allows schools to act when needed, as guided by their own Safety Plan. According to Talmage Clubbs, Director of Counseling for Neosho District in Missouri, “Our students know about it [student safety K-12 tool]. We have students purposely typing in keywords so they can be pulled in and talked to about their suicidality, their mental health issues, anything like that because they are struggling, and they just don’t know how else to reach anybody.”  

    Another example where human intervention is essential is when a machine learning-powered solution flags anatomical text as explicit content, but this might be for legitimate science coursework. Human reviewers can verify educational intent by examining context like student age and subject. 

    In the 2022-2023 school year, 94% of public schools report providing digital devices, such as laptops or tablets, to students according to the National Center for Education Statistics. This is a 28% growth from the number of devices provided pre-pandemic in middle schools and a 52% growth for elementary school students. As students spend more time online for school, they also use these devices for extracurricular learning and making social connections. However, they also have easier access to inappropriate content online. The challenges of ensuring online safety have become increasingly complex, as more students may seek harmful information or engage in distressing or inappropriate behaviors.

    To truly support all students — regardless of their socioeconomic background or technological literacy — in the digital age, solutions must be user-friendly and adaptable to the diverse needs of schools and districts. By collaborating — educators, technology providers like GoGuardian, and policymakers can create a future where AI enhances educational experiences for students, fosters healthy human connection and empathy, and ensures privacy.

    This also supports educators in today’s digital world who require innovative safety and security solutions to enable students to thrive physically, mentally, and academically while ensuring their well-being and academic progress. “You can rest well at night, knowing you are changing districts and saving lives,” says Dr. Jim Cummins, Superintendent of Neosho District.


    To learn more, visit GoGuardian.com


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  • honest authors, being human – Sijen

    honest authors, being human – Sijen

    I briefly had a form up on my website for people to be able to contact me if they wanted to use any of my visualizations, visuals of theory in practice. I had to take it down because ‘people’ proved incapable of reading the text above it which clearly stated its purpose. They insisted on trying to persuade me they had something to flog. Often these individuals, generalists, were most likely using AI to generate blog posts on some vaguely related theme.

    I have rejected hundreds of approaches in recent years from individuals (I assume they were humans) who suggested they could write blogs for me. My site has always been a platform for me to disseminate my academic outputs, reflections, and insights. It has never been about monetizing my outputs or building a huge audience. I recognize that I could be doing a better job of networking, I am consistently attracting a couple of hundred different individuals visiting the site each week, but I am something of a misanthrope so it goes against the grain to crave attention.

    We should differentiate between the spelling and grammar assistance built into many desktop writing applications and the large language models (LLM) that generate original text based on an initial prompt. I have not been able to adjust to the nascent AI applications (Jasper, ChatGPT) in supporting my own authorship. I have used some of these applications as long-text search engine results, but stylistically it just doesn’t work for me. I use the spelling and grammar checking functionality of writing tools but don’t allow it to complete my sentences for me. I regularly use generative AI applications to create illustrative artwork (Midjourney) and always attribute those outputs, just as I would if were to download someone’s work from Unsplash.com or other similar platforms.

    For me, in 2023, the key argument is surely about the human-authenticity equation. To post blogs using more than a spell and grammar checker and not declaring this authorship assistance strikes me as dishonest. It’s simply not your work or your thoughts, you haven’t constructed an argument. I want to know what you, based on your professional experience, have to say about a specific issue. I would like it to be written in flowing prose, but I can forgive the clumsy language used by others and myself. If it’s yours.

    It makes a difference to me knowing that a poem has been born out of 40 years of human experience rather than the product of the undoubtedly clever linguistic manipulation of large language models devoid of human experience. That is not to say that these digital artefacts are not fascinating and have no value. They are truly remarkable, that song generated by AI can be a pleasure to listen to, but not being able to relate the experiences related through song back to an individual simply makes it different. The same is true of artworks and all writing. We need to learn to differentiate between computer intelligence and human intelligence. Where the aim is for ‘augmentation’, such enhancements should be identifiable.

    I want to know that if I am listening, looking, or reading any artefact, it is either generated by, or with assistance from, large generative AI models, or whether it is essentially the output of a human. This blog was created without LLM assistance. I wonder why other authors don’t declare the opposite when it’s true.

    Image credit: Midjourney 14/06/23

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