Tag: Higher

  • Cassidy Probes Math Course Placements at Selective Colleges

    Cassidy Probes Math Course Placements at Selective Colleges

    Bill Clark/CQ–Roll Call Inc./Getty Images

    A Senate committee chair has launched an investigation into what he says is a decline in how prepared freshmen accepted into selective institutions are for math courses there.

    Sen. Bill Cassidy, the Louisiana Republican who chairs the Senate Committee on Health, Education, Labor and Pensions, announced Friday that he’s sent letters to 35 institutions, including Ivy League universities, the Georgia Institute of Technology, Rice University and more.

    “The United States faces a crisis in student achievement at the K–12 level that has begun to spill over into higher education, especially in math,” Cassidy wrote in the letters.

    He cited the widely discussed November report from the University of California, San Diego, in which a university working group said that one in 12 first-year students in the fall placed into math below a middle school level, despite having a solid math grade point average from high school.

    “This state of affairs is unacceptable and demands immediate corrective action,” Cassidy said.

    He’s asking each of these institutions to provide data on freshman placement into math courses, explanations of how placements are decided, information on math classes that include precollege content, descriptions of universitywide math graduation requirements and info on whether they require the SAT, ACT or other math tests for admission. The due date is Feb. 5.

    A Cassidy spokesperson didn’t respond to requests for comment Friday on why he’s only investigating selective institutions.

    The UC San Diego report provided some reasons for its first-year students’ math deficits.

    “This deterioration coincided with the COVID-19 pandemic and its effects on education, the elimination of standardized testing, grade inflation, and the expansion of admissions from under-resourced high schools,” the report said. “The combination of these factors has produced an incoming class increasingly unprepared.”

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  • ED Scraps Biden-Era Regulation for Corporate College Owners

    ED Scraps Biden-Era Regulation for Corporate College Owners

    Greggory DiSalvo/iStock/Getty Images Plus

    The Trump administration will no longer automatically enforce an accountability measure for the owners of private institutions that consumer advocacy groups say is critical to protecting students and taxpayers.

    The regulation was originally put in place by the Biden administration, first as guidance and then in regulations. Under the policy, primary owners of for-profit and nonprofit colleges were required to sign onto a contract, known as a Program Participation Agreement, in order for their institution to access federal student aid. The aim of requiring the individual or corporation who owns an institution to sign onto the PPA signature requirement was to hold them accountable for unpaid debts, misuse of federal funding and compliance with federal aid law.(PPAs still have be signed by the president or CEO of the institution.)

    But now, according to a Jan. 16 announcement, the owners will not always have to assume personal liability after ED voluntarily settled with a Missouri Christian college that challenged the requirement. The education secretary does, however, reserve the right to require signatures on a case-by-case basis if necessary to “protect the financial interest of the United States.”

    Education Under Secretary Nicholas Kent said the change will maintain liability standards as much as possible while abiding by the law, which limits the department’s authority to force owners to assume personal liability to circumstances when “institutions have financial problems.” The department intends to further clarify how it will conduct case-by-case evaluations through a rule-making session but did not clarify when that session will be held.

    “The Biden Administration’s regulation was over broad as it required all private institutional owners, including at faith-based colleges, to sign program participation agreements,” Kent said in a statement to Inside Higher Ed. “Moving forward, the Trump Administration will adhere to the law … This approach will protect taxpayers while not creating undue burden on institutions.”

    Student and taxpayer advocates, however, view the decision as a major mistake—particularly because it extends beyond nonprofit religious institutions like the one behind the lawsuit, granting more flexibility to for-profit institutions as well.

    “Taking the blanket signature requirement away does nothing to protect students. It does nothing to protect the taxpayer interest. Really, the only people with benefits are those who could be held financially responsible,” said Dan Zibel, vice president and chief counsel of Student Defense, a legal advocacy group.

    He cited news coverage and research reports as evidence that the owners of some for-profit institutions can access federal aid and take advantage of students. But when those owners were forced to sign a PPA contract, they could be less freely inclined to defraud students, he explained.

    It forced them to “acknowledge their own skin in the game,” Zibel said. So by halting the enforcement of these contracts, particularly for for-profit owners, the department “is sorely misguided and makes it harder, not easier, for the department to protect students and taxpayers.”

    Hannibal-LaGrange University and its sponsor, the Missouri Baptist Convention, argued in the lawsuit that the department’s requirement exceeded the agency’s statutory authority and violated the Religious Freedom Restoration Act. Other private institutions and their lobbyists have also pushed back, saying many of LaGrange’s arguments extend to nonreligious institutions and corporate owners.

    Jordan Wicker, Career Education Colleges and Universities’ senior vice president of legislative and regulatory affairs, called the change “a meaningful course correction” for “unintended consequences” and institutional burdens created by the regulation.

    “The 2023 rule … made the risk to institutions significantly greater when it comes to routine recertifications, acquisitions, ownership changes, any corporate restructuring or even simple business financial transactions,” Wicker said. “Particularly for proprietary institutions, you’re looking at a dampening effect of the market, or the devaluation of schools because of hesitancy for new capital to enter that space.”

    “[Signing on for liability] is an extraordinary risk in the world of business and operations, and so it created a hesitancy,” he added.

    Lawyers at Duane Morris LLP, a law firm that represents public, private, nonprofit and proprietary colleges, said the decision was “significant for institutions and their owners, sponsors, investors and lenders because it responds to significant adverse effects” of the rule.

    In a breakdown of the announcement, the firm noted that while ED is now requiring officials to sign the agreements only when necessary, the department only has the authority, in their view, to allow individual owners to take on liability—not full corporate entities.

    As a result, “the market effects will likely persist to some extent unless the issue is fully resolved through final, legally sustainable regulatory action,” the firm stated.

    But Zibel argued that the fact businesses are wary of taking on liability shows why this regulation is necessary and conforms with the law.

    “For-profit companies have been able to make sizable profits and scam students, which has cost the federal government and cost taxpayers billions of dollars, with no one at the end of the day held financially accountable for this,” he said. “The federal government should be doing everything in their power to make sure that doesn’t happen.”

    Zibel also believes that the way in which the department terminated enforcement of this policy is illegal. Federal law requires the department to go through a specific process, known as negotiated rule making, to both create and repeal regulations. That process includes opportunity for public comment as well as a discussion between representatives of multiple constituent groups and the department. None of those steps were followed in this case.

    “Doing things by settlement is not how this is supposed to happen,” he said.

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  • George Washington U Pauses Admissions to 5 Ph.D. Programs

    George Washington U Pauses Admissions to 5 Ph.D. Programs

    George Washington University is pausing admissions to five Ph.D. programs for fall 2026, citing financial hardships.

    According to social media posts, applicants to the programs received emails last week alerting them that the programs “will not be reviewing applications for the 2026–2027 academic year.” The emails went on to say that their application fees would be refunded and offered them the opportunity to be considered for master’s programs instead.

    The Ph.D. programs affected are in clinical psychology, anthropology, human paleobiology, political science and mathematics.

    A university spokesperson attributed the pauses to financial difficulties.

    “Like many universities, we are taking a close look at how best to support our PhD programs while maintaining the highest standards in doctoral education in a difficult fiscal environment. Our recent actions do not reflect a long-term closure or suspension of programs,” the spokesperson told Inside Higher Ed in an email. “Rather, they represent a need to limit new commitments in order to ensure that we fully meet our funding commitments to continuing PhD students” in those five departments.

    Two faculty members told Inside Higher Ed that the university was also slashing the total number of Ph.D. packages across all departments within the Columbian College of Arts & Sciences. GWU did not respond to a question about those additional cuts.

    The suspensions follow other instances of high-profile institutions slashing admissions to Ph.D. programs due to budget concerns, including Boston University, the University of Chicago and Harvard University. In a recent Faculty Senate meeting, GWU president Ellen Granberg asked the university’s schools and divisions to prepare “budget contingency plans” amid declines in applications from international students, the student newspaper, The GW Hatchet, reported. International students accounted for about 13 percent of the institution’s enrollment this fall, a decrease from the previous year.

    Huynh-Nhu Le, who leads the clinical psychology Ph.D. program, said that faculty have been aware for a while that cuts might be coming. In addition to declines in international students, GWU has been a victim of the Trump administration’s research funding cuts. And the program’s cohort size was already shrinking; for fall 2025, the clinical psych Ph.D. admitted a record low three students, down from the typical eight or nine.

    But Le didn’t expect that the program would admit no new students for fall 2026. The pause came as a result of the College of Arts & Sciences allocating just two slots for its three doctoral psychology programs combined. Because the American Psychological Association requires a minimum number of students in a clinical psychology Ph.D. cohort to promote “professional socialization,” Le decided not to admit any this year.

    The decision is likely to have a “ripple effect” on GWU’s clinic, Le said, where first-year students typically perform vital duties like answering phones and conducting intake appointments.

    ‘Hoping It’s an Anomaly’

    Other departments had to make similarly difficult decisions. According to Joel Brewster Lewis, an associate mathematics professor and the director of the department’s graduate programs, annual Ph.D. funding packages are decided by the dean’s office. This year, the amount of funding available to the mathematics department was equivalent to the number of continuing Ph.D. students in the department, meaning there was no funding available for new students.

    “We as a department opted to continue their funding next year rather than defund them and run admissions on those packages,” Lewis wrote in an email.

    In the human paleobiology program, funding for an incoming Ph.D. student would have been available only if a current student graduated this summer, according to Alison Brooks, a professor in the anthropology department and a faculty member within the Center for the Advanced Study of Human Paleobiology. One student is on track to graduate this summer, she said, but by the time the department knows for sure, it would be too late to admit another student.

    GWU’s human paleobiology Ph.D. program is one of the most recognized at the institution, Brooks said. In a typical year, the program admits roughly three students.

    “We have very high numbers of graduates in tenure-track jobs and other prestigious positions. Two members of our small faculty are in the National Academy of Science and Medicine. And generally we get some funding every year to support research initiatives, in addition to outside funding, to carry on with what we do,” she said. “We’re not necessarily being singled out, but we’re not being preferred, either.”

    Le, of the clinical psychology Ph.D. program, said she hopes this year is just a “blip.”

    “It’s really unfortunate. It’s not only our program—I think other clinical programs in the U.S. are going through the same thing,” she said. “I’m hoping it’s an anomaly for this year.”

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  • The Rise of Degree Apprenticeships

    The Rise of Degree Apprenticeships

    Degree apprenticeships, programs that let students earn a college degree while gaining paid work experience, are a fast-growing model in education and workforce development. But new research from the think tank New America finds access to them remains limited and uneven.

    A report released this month by New America’s Center on Education & Labor found that about 350 institutions nationwide offered nearly 600 degree apprenticeship programs integrated with associate, bachelor’s or master’s degrees, preparing students for 91 different occupations.

    Among institutions that offer them, degree apprenticeships are concentrated in a small number of fields, with K–12 teaching and registered nursing accounting for the largest share.

    Ivy Love, a senior policy analyst at New America, said degree apprenticeships are especially valuable for states facing teacher or nurse shortages.

    “These are two rapidly growing professional areas for degree apprenticeships,” Love said. “There is an opportunity to make these paths into these professions more accessible.”

    Degree apprenticeships combine paid work experience, on-the-job training, employer-aligned classroom instruction and recognized credentials with an associate, bachelor’s or master’s degree. Learners participate in work-based learning while completing coursework—known as related technical instruction—at a college or university that aligns with what they are learning on the job.

    These programs are emerging at a moment of growing skepticism about the value of a college degree. In New America’s Varying Degrees 2025 survey, just 52 percent of adults—a slim majority—said a postsecondary credential is the minimum level of education they believe a close family member needs to ensure financial security.

    At the same time, New America found that earning a postsecondary degree remains the surest path to economic stability and family-supporting wages. In 2024, households with two adults needed to earn more than $100,000 a year to support two children—a level of pay that typically requires at least an associate degree, the report said.

    Lancy Downs, a senior policy analyst at New America, said one story that stood out in the report came from an administrator at an Alabama community college where more than half the students attend part-time. The administrator explained that this is because school is optional, but work is not.

    “We see [degree apprenticeships] as an effective way to upskill people into higher-paying jobs with more upward mobility,” Downs said. “They also help bring more people into professions well suited for this model, allowing students to earn a paycheck, attend school and take on minimal debt at the same time.”

    The findings: The report found that programs that prepare K–12 teachers made up 156 of the nearly 600 degree apprenticeships identified, while registered nursing programs accounted for 51. Other positions represented include electro-mechanical and mechatronics technologists and technicians, electricians, and industrial engineering technologists and technicians.

    With the exception of teaching, most degree apprenticeship opportunities are concentrated at the associate-degree level. Two-thirds of the programs awarded associate degrees, 29 percent awarded bachelor’s degrees and 4 percent awarded master’s degrees, according to the report. Most associate-level credentials were associate of applied science degrees.

    Love said occupational requirements are the main factor driving these patterns: Careers in teaching typically require a bachelor’s degree, while nursing careers can be started with an associate degree.

    “Community colleges have been really involved in degree apprenticeships, many of them for quite some time,” Love said. She noted that although some universities offer degree apprenticeships as well, community colleges’ “workforce orientation” gives them more familiarity with the model, and two-year institutions are more likely to have close connections to employers in technical fields.

    The report also found that rural and small-town colleges are disproportionately represented among institutions offering teacher apprenticeships, suggesting degree apprenticeships in teaching are shaped by local workforce needs.

    Downs said she suspects the prevalence of the “grow-your-own” model in teacher training explains this pattern.

    “It’s possible that the prevalence of those already in teaching contributed to the overrepresentation in many rural communities,” Downs said.

    The implications: Downs said degree apprenticeships’ small program size, reliance on public funding and other structural factors must be addressed for programs to succeed.

    “We don’t really fund degree apprenticeships the same way we fund K–12 schools or even higher education,” Downs said, noting that most funding comes from “one-off” federal grants.

    “More funding is needed to get [degree apprenticeship] programs up and off the ground and figure out how to run them sustainably,” she said.

    Beyond funding, Downs said the programs also need to be thoughtfully designed to meet the needs of the students they serve.

    “If you can get credit for what you’re learning on the job, you don’t have to sit in a classroom to learn the same thing again. It makes the programs more efficient for learners and employers, which we support,” Downs said.

    Love said the degree apprenticeship model allows students to combine the benefits of work and education in a single pathway.

    “This is a ‘yes, and’ strategy,” Love said. “Through [degree apprenticeship] programs, we hope to learn more in the coming years about how they open pathways to important professions while giving people another option that brings the best of both worlds together.”

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  • Neuroinclusive teaching in higher education

    Neuroinclusive teaching in higher education

    Over the weekend, HEPI published a blog on where universities go from here.

    This blog was kindly authored by Lewis Eves, Teaching Associate at the University of Nottingham.

    Neuroinclusivity is increasingly important in Higher Education. A recent survey shows that 22% of UK students have a neurodivergent diagnosis (e.g. ADHD or Autism), with up to 28% identifying as neurodivergent in some way. This constitutes an overrepresentation of neurodivergence among students compared to the general population, of which only 15-20% are diagnosed as neurodivergent.

    Meanwhile neurodivergent disclosure rates among academic staff are significantly lower. In 2023, only 1.8% of academic staff disclosed a neurodivergent condition.

    It’s unsurprising that neurodivergent people would be underrepresented in academia. Academia is structured around neurotypical behaviours, activities and thought processes that are intuitive for those whose brain functions conform to the collective standard.

    As such, academia privileges ways of working that are difficult for neurodivergent people to navigate. The need to excel in, and constantly switch between, research, teaching and administrative tasks poses challenges for neurodivergent staff. This discourages neurodivergent people from pursuing careers in academia. Meanwhile, those who do pursue academia express fear and anxiety that disclosing their neurodivergence might negatively impact their careers.

    The growing gap between the number of neurodivergent academics and students poses a challenge for higher education. How is a traditionally neurotypical environment, lacking in lived experience of neurodivergence, going to adapt to the learning needs of an increasingly neurodivergent community?

    Neuroinclusive teaching

    As a neurodivergent academic, I often reflect on the challenges I faced as a student. I use this lived experience to inform my teaching practice, employing various techniques and measures to support the learning of neurodivergent students.

    Inductive Teaching

    Teaching in Higher Education is mostly deductive. A top-down approach that focusses on teaching staff telling students what is important to know, providing examples and testing students’ understanding.

    This is something that I struggled with as a student, and is something that my neurodivergent students have shared that they struggle with too. I suspect the issue is that the way a neurotypical teacher links ideas and concepts to real-world examples is not as intuitive for neurodivergent students. Neurodivergence means that brains link and connect information differently.

    To address this, I employ inductive approaches in my teaching. This involves focussing first on examples, preferably examples from students’ lived experience, and using these examples to discuss and learn key ideas and concepts. This enables students to connect examples and concepts in a way that is intuitive for them. It is also a more collaborative learning process, promoting discussion and sharing of ideas that I find benefits both neurodivergent and neurotypical students.

    Structure

    Secondary and further education are highly structured learning environments, with students’ learning time being timetabled and supervised. Higher education, however, is much less structured. Some subjects have very few timetabled sessions, with a significant emphasis on independent study.

    Many students struggle with this transition into a less structured learning environment. However, this sudden drop in structure is something that neurodivergent students particularly struggle with. It was something that I struggled with as a student, and now that I teach, it is one of the more common topics that my neurodivergent students wish to discuss with me.

    To help address this issue, I support the structuring of students’ independent study. One method I use is hosting regular study workshops in which students can complete their assignments. I facilitate these using techniques like body doubling. This is a productivity technique commonly used by those with ADHD, which relies on the natural rhythms of productivity in shared workspaces to encourage focus. All students are welcome, and the feedback has been overwhelmingly positive, especially from neurodivergent students.

    Neuroinclusive policy

    In my experience of teaching in higher education, there are opportunities to develop teaching practice to better support the increasing number of neurodivergent students. In my experience of teaching in higher education, there are opportunities to develop teaching practice to better support the increasing number of neurodivergent students. However, this will need to be done sector-wide, which will require supportive and effective policymaking.

    These policies should promote teaching and learning practices that make learning environments more accessible, equitable and inclusive. These require co-creation with the neurodivergent community, who are underrepresented in academia. Accordingly, for policy to promote neuroinclusive teaching and learning for students, it must also promote academic neuroinclusion.

    Achieving this will require a decoupling of academic performance monitoring and career progression from neurotypical behaviours. This will help address barriers to disclosure and empower neurodivergent academics to more effectively inform teaching and learning practices based on their lived experience.

    Research and guidance from UCL lists numerous suggestions that could be incorporated into broader policy. This includes:

    • Promoting greater flexibility and accessibility in research, focussing on the depth of contributions rather than the breadth of activity neurotypical scholars may engage in.
    • Challenging the culture of ‘publish-or-perish’ that privileges quick publication, recognising the value of slower, high-quality research that alleviates pressure on both neurodivergent and neurotypical researchers.

    Changes like these will take time. However, if the higher education sector is serious about creating a neuroinclusive environment and effectively supporting the growing demographic of neurodivergent students, we need to take these steps.

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  • What grade inflation panics miss about the real value of higher education

    What grade inflation panics miss about the real value of higher education

    Cloaks swish. Cameras flash. It’s graduation day, the culmination of years of effort. It celebrates learning journeys whose outcomes have nurtured the realisation of talents as varied as our students themselves.

    It is a triumphant moment. It is also the moment in which the sector reveals the outcome of its own Magic Sorting Hat, whose sorcery is to collapse all this richness into a singular measure. As students move across the stage to grasp the sweaty palm of the VC or a visiting dignitary, they are anointed.

    You are a First. You are a Third. You are a 2:1.

    There is something absurd about this, that such diverse, hard-won successes can be reduced to so little. That absurdity invites a bit of playfulness. So, indulge me in a couple of thought experiments. They are fun, but I hope they reveal something more serious about the way we think about standards, and how often that crowds out a conversation about value.

    Thought experiment one: What if classifications are more noise than signal?

    Let us begin with something obvious. Like any set of grades, classifications exist to signal a hierarchy. They are supposed to say something trustworthy about the distribution of talent – where a First signals the pinnacle of academic mastery. What “mastery” is – and how relevant that signal is beyond the academy – is a point I think we should dwell on as ambiguous.

    “Mastery” isn’t the upper tier of talent. Our quality frameworks do not, by principle, norm reference, and for good reason that are well-worn in assessment debates: shaving off a top slice of talent would exclude cohorts of students who might, in a less competitive year, have made the cut. So, then, we criterion reference; we classify against the extent to which programme outcomes have been met to a high standard. On that logic, we ought to be delighted when more and more students meet those standards. Yet when they do, we shift uneasily and brace for assaultive chorus of “dumbing down.”

    The truth of the First feels even less solid when set against the range of disciplinary and transdisciplinary capabilities we try to pack into that single measure, and the range of contexts that consume it at face value. They use it to rank and sort for their own purposes; to make initial cuts of cohorts of prospective employees to make shortlists manageable, for instance, with troubling assumptive generalisation. That classification is paradoxically a very thin measure, and one that is overloaded with meaning.

    It is worth asking how we ended up trusting so much to a device designed for a quite different era. The honours classification system has nineteenth-century roots, but the four-band structure that still dominates UK higher education really bedded in over the last century. The version we live with now is an artefact of an industrial-era university system; built in a world that imagined talent as a fixed trait and universities as institutions that sorted a small elite into neat categories for professional roles. It made sense for a smaller, more homogeneous system, but sits awkwardly against the complex and interdisciplinary world students now graduate into.

    Today it remains a system that works a bit like a child’s play dough machine. Feed in anything you like, bright colours, different shapes and unique textures, and the mechanism will always force them into the same homogenous brown sausage. In the same way, the classification system takes something rich and individual and compresses it into something narrow and uniform. That compression has consequences.

    The first consequence is that the system compresses in all sorts of social advantages that have little to do with academic mastery. Access to cultural capital, confidence shaped by schooling, freedom from financial precarity, familiarity with the tacit games of assessment. These things make it easier for some students to convert their social position into academic performance. Despite the sector’s valiant reach for equity, the boundary between a 2:1 and a 2:2 can still reflect background as much as brilliance, yet the classification treats this blend of advantage as evidence of individual superiority.

    The second consequence is that the system squeezes out gains that really matter, but that are not formally sanctioned within our quality frameworks. There is value in what students learn in that space a university punctuates, well beyond curriculum learning outcomes. They navigate difficult group dynamics. They lead societies, manage budgets and broker solutions under pressure. They balance study with work or caring responsibilities and develop resilience, judgement, confidence, and perspicacity in ways that marking criteria cannot capture. For many students, these experiences are the heart of their learning gains. Yet once the classification is issued, that can disappear.

    It is easy to be blithe about these kinds of gains, to treat them as nice but incidental and not the serious business of rigorous academic pursuit. Yet we know this extra-curricular experience can have a significant impact on student success and graduate futures, and it is relevant to those who consume the classification. For many employers, the distinctive value that graduates offer over non-graduates is rarely discipline specific, and a substantial proportion of graduates progress into careers only tangentially aligned to their subjects. We still sell the Broader Benefits of Higher Education™, but our endpoint signaling system is blind to all of this.

    The moral panic about grade inflation then catches us in a trap. It draws us into a game of proving the hierarchy is intact and dependable, sapping the energy to attend to whether we are actually evidencing the value of what has been learned.

    Thought experiment two: What if we gave everyone a First?

    Critics love to accuse universities of handing out Firsts to everyone. So, what if we did? Some commentators would probably implode in an apoplectic frenzy, and that would be fun to watch. But the demand for a signal would not disappear. Employers and postgraduate providers would still want some way to differentiate outcomes. They would resent losing a simple shorthand, even though they have spent years complaining about its veracity. Deprived of the simplicity of the hierarchy, we would all be forced into a more mature conversation about what students can do.

    We could meet that conversation with confidence. We could embrace and celebrate the complexity of learning gain. We could shift to focus on surfacing capability rather than distilling it. Doing so would mean thinking carefully about how to make complexity navigable for external audiences, without relying on a single ranking. If learning gains were visible and tied directly to achievement, rather than filtered through an abstract grading function, the signal becomes more varied, more human, and more honest.

    Such an approach would illuminate the nuance and complexity of talent. It would connect achievement to the equally complex needs of a modern world far better than a classification ever could. It would also change how students relate to their studies. It would free them from the gravitational pull of a grade boundary and the reductive brutality that compresses all their value to a normative measure. They could invest their attention in expansive and divergent growth, in developing their own distinctive combinations of talents. It would position us, as educators, more clearly in the enabling-facilitator space and less in the adversarial-arbiter space. That would bring us closer to the kind of relationship with learners most of us thought we were signing up for. And it would just be …nicer.

    Without classifications the proxy is gone, and universities then hold a responsibility to ensure that students can show their learning gains directly, in ways that are clear, meaningful, and relevant.

    A future beyond classifications

    The sector is capable of imagination on this question – and in the mid-2000s it really did. The Burgess Review was our last serious attempt to rethink classifications. It was also the moment in which our courage and imagination faltered in their alignment.

    The Burgess conclusion was blunt. The classification system was not fit for purpose. The proposed alternative was the Higher Education Achievement Report (HEAR), designed to give a much fuller account of a student’s learning. HEAR was meant to capture not only modules and marks, but the gains in skills, knowledge, competence and confidence that arise from a wider range of catalysts: taught courses, voluntary work, caring responsibilities, leadership in clubs and societies, placements, projects and other contributions across university life. It would show the texture of what students had done and the value they could offer, rather than a single number on a certificate.

    Across Europe, colleagues were (and are) pursuing similar ambitions. Across Bologna-aligned countries, universities have been developing transcript systems that are richer, more contextual and more personalised. They have experimented with digital supplements, unified competence frameworks, micro-credentials and detailed records of project work. The mission is less about ranking learners and more about describing learning. At times, their models make our narrow transcript look a little embarrassing.

    HEAR sat in the same family of ideas, but the bridge it offered was never fully crossed. The system stepped back, HEAR survived as an improved transcript, the ambition behind it did not. And fundamentally, the classification remained at the centre as the core value-signal that overshadowed everything else.

    Since then, the sector has spent roughly two decades tightening algorithms, strengthening externality and refining calibration. Important work, but all aimed at stabilising the classification system rather than asking what it is for – or if something else could do the job better.

    In parallel, we have been playing a kind of defensive tennis, batting back an onslaught of accusations of grade inflation from newspapers and commentators that bleed into popular culture and a particular flavour of politics. Those anxieties now echo in the regulatory system, most recently in the Office for Students’ focus on variation in the way institutions calculate degrees. Each time we rush to prove that the machinery is sound – to defend the system rather than question it – we bolster something fundamentally flawed.

    Rather than obsessing over how finely we can calibrate a hierarchy, a more productive question is what kind of signal a mass, diverse system really needs, and what kinds of value we want to evidence. Two growing pressures make that question harder to duck.

    One is the changing conversation about the so-called graduate premium. For years, policymakers and prospectuses have leaned on an article of faith: do a degree, secure a better job.

    Putting aside the problematics of “better,” and the variations across the sector, this has roughly maintained as true. A degree has long been a free pass through the first gates of a wide range of professions. But the earnings gap between graduates and non-graduates has narrowed, and employers are more openly questioning whether lack of a university degree should necessarily preclude certain students from their roles. In this context, we need to get better at demonstrating graduate value, not just presuming it.

    The other pressure is technological. In a near future where AI tools are routine in almost every form of knowledge work, outputs on their own will tell us less about who can do what. The central question will not be whether students have avoided AI, but whether they can use it in the service of their own judgement, originality and values. When almost anyone can generate tidy text or polished slides with the same tools, the difference that graduates make lies in qualities that are harder to see in a single grade.

    If the old proxy is wobbling from both sides, we need a different way of showing value in practice. That work has at least three parts: how we assess, what students leave with, and how we help them make sense of it.

    How we assess

    Authentic assessment offers one answer; assessment that exercises capability against contexts and performances that translate beyond the academy. But the sector rarely unlocks its full potential. Too often, the medium changes while the logic remains the same. An essay becomes a presentation, a report becomes a podcast, but the grade still does the heavy lifting. Underneath, the dominant logic tends to be one of correspondence. Students are rewarded for replicating a sanctioned knowledge system, rather than for evidencing the distinctive value they can create.

    The problem is not that colleagues have failed to read the definitions. Most versions of authentic assessment already talk about real-world tasks, audiences and stakes. The difficulty is that, when we try to put those ideas into practice, we often pull our punches. Tasks may begin with live problems, external partners or community briefs, but as they move through programme boards and benchmarking they get domesticated into safer, tidier versions that are easier to mark against familiar criteria. We worry about consistency, comparability, grade distributions. Anxieties about loosening our grip on standards quietly win out over the opportunity to evidence value.

    When we resist that domestication, authentic tasks can generate artefacts that stand as evidence of what students can actually do. We don’t need the proxy of a grade to evidence value; it stands for itself. Crucially, the value they surface is always contextual. It is less about ticking off a fixed list of behaviours against a normative framework, and more about how students make their knowledge, talents and capacities useful in defined and variable settings. The interesting work happens at the interface between learner and context, not in the delivery of a perfectly standardised product. Grades don’t make sense here. Even rubrics don’t.

    What students leave with

    If we chose to take evidencing learning gains seriously, we could design a system in which students leave with a collection of artefacts that capture their talents in authentic and varied ways, and that show how those talents play out in different contexts. These artefacts can show depth, judgement and collaboration, as well as growth over time. What is lost is the “rigour” and sanction of an expert judgement to confirm those capacities. But perhaps here, too, we could be more creative.

    One way I can imagine this is through an institutional micro-credential architecture that articulates competences, rather than locking them inside individual modules. Students would draw on whatever learning they have done, in the curriculum, around it and beyond the university, to make a claim against a specific micro-credential built around a small number of competency statements. The assessment then focuses on whether the evidence they offer really demonstrates those competencies.

    Used well, that kind of system could pull together disciplinary work, placements and roles beyond the curriculum into a coherent profile. For those of us who have dabbled in the degree apprenticeship space, it’s like the ultimate end-point assessment, with each student forging a completely individualized profile that draws in disciplinary capabilities alongside adjunct and transdisciplinary assets.

    For that to be more than an internal hobby, it needs to rest on a shared language. The development of national skills classification frameworks in the UK might be providing that for us. It is intended to give us a common, granular vocabulary that spans sectors and occupations, and that universities could use as a reference point when they describe what their graduates can do.

    The trouble is, I doubt, that this kind of skills-map-as-transcript can ever really flourish if it must sit in the shadow of a single classification. That was part of HEAR’s problem. It survived as a supplement while the degree class kept doing the signaling. If we are serious about value, we may eventually need to let go of the single upper-case proxy altogether. Every student would leave not with a solitary number, but with a skills profile that is recognisably linked to their discipline and shaped by everything else they have learned and contributed in the years they spent with us.

    How students make sense of it

    Without support to make sense of their evidence, richness risks becoming noise of a different kind. This is one reason classifications remain attractive. They collapse complexity into simplicity. They offer a single judgement, even if that judgement obscures more than it reveals.

    Students need help to unify their evidence into a coherent narrative. It is tempting to see that as the business of careers and employability services alone, but that would be a mistake. This is a whole-institution task, embedded in curriculum, co-curriculum and the wider student experience.

    From conversations within courses to structured opportunities for reflection and synthesis, students need the means to articulate their value in ways that match their aspirations. They need to design imagined future versions of their stories, develop assets to make them real, test them, succeed and fail, and find direction in serendipity. This project of self, and arriving at that story – a grounded account of who they are now, what they can do and where they might go next – is arguably the apex output of a higher education. It is the point at which years of dispersed learning start to cohere into a sense of direction. And it feels like a very modern version of the old ideal of universities as a place to find oneself.

    Perhaps the sector is now better placed, culturally and technologically, to build that kind of recognition model rather than another supplement. Or at the very least, perhaps the combined pressure of AI and a more skeptical conversation about the graduate premium offers enough of a burning platform to make another serious attempt unavoidable.

    A reborn signal

    I am being playful. I do not expect anyone to actually give every student a First. Classifications have long endured, and they will not disappear any time soon. Any institution that chose to step away from them would be taking a genuine act of brinkmanship. But when confronted with accusations of grade inflation, universities defend their practices with care and detail. What they defend far less often is their students, whose talents and achievements are flattened by the very system we insist on maintaining. We treat accusations of inflation as threats to standards, rather than prompts to talk about value.

    The purpose of these thought experiments is to renew curiosity about what a better signal might look like. One that does justice to the richness of learners’ journeys and speaks more honestly about the value higher education adds. One that helps employers, communities and students themselves to see capability in a world where tools like AI are part of the furniture, and where value is found in how learning connects with real contexts.

    At heart, this is about what and whom we choose to value, and how we show it. Perhaps it is time to return to the thread Burgess began and to pick it up properly this time, with the courage that moment represented and the bravery our students deserve.

    Join Mark and Team Wonkhe at The Secret Life of Students on Tuesday 17 March at the Shaw Theatre in London to keep the conversation going about what it means to learn as a human in the age of AI. 

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  • University of Wisconsin–Madison Chancellor to Lead Columbia

    University of Wisconsin–Madison Chancellor to Lead Columbia

    DNY59/iStock/Getty Images

    Columbia University has selected Jennifer Mnookin, a legal scholar and current chancellor at the University of Wisconsin at Madison, as its next president. 

    Jennifer L. Mnookin

    University of Wisconsin–Madison

    Mnookin has led the Wisconsin flagship since 2022 and will remain in her role through the spring commencement. Before taking the top spot at UW-Madison, she served as dean of the UCLA School of Law.

    Mnookin will be the fourth leader in three years at Columbia. Since 2023 the institution has been disrupted by student protests, faced $400 million in cuts to federal research funding and agreed to a multimillion-dollar settlement with the Trump administration. 

    Mnookin will replace Claire Shipman, the former co-chairperson of the Board of Trustees, who has been acting president since March 2025, when interim president Katrina Armstrong resigned. Armstrong took over for Minouche Shafik, who was the university’s last permanent president and resigned in August 2024.

    According to The Wall Street Journal, Columbia chose Mnookin because of her success navigating polarized politics in Wisconsin and dealing with the federal government. 

    During her tenure, Mnookin launched programs guaranteeing full financial support for Pell-eligible in-state students and for undergraduates who are members of federally recognized Wisconsin American Indian tribes and pursuing their first degree. She also increased the institution’s research spending to $1.93 billion, making it the fifth-highest-ranked institution in the country for research expenditures. 

    Her term has not been without controversy, though. Last July, the institution closed its diversity, equity and inclusion office amid scrutiny into its funding from Republican state lawmakers. In October, the university announced cost-cutting measures after it had federal grants terminated and received stop-work orders on some projects.

    In a statement, Mnookin said her time at UW-Madison has been “life-changing.”

    “It has been a true honor to be a part of the Wisconsin family. I am proud of what we have accomplished together, even in a challenging period for higher education, and I know great possibilities lie ahead for the UW-Madison campus community.”

    Jay Rothman, president of the Universities of Wisconsin, extended “substantial gratitude” to Mnookin.

    “During her tenure, Chancellor Jennifer Mnookin brought unbounded energy, resilience and deeply thoughtful leadership to this great university,” Rothman said.

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  • WEEKEND READING: Calling for a bold new vision for higher education 

    WEEKEND READING: Calling for a bold new vision for higher education 

    Join HEPI for a webinar on Thursday 29 January from 1.30pm to 2.30pm examining the findings of Student Working Lives (HEPI Report 195), a landmark study on how paid work is reshaping the student experience in UK higher education amid rising living costs and inadequate maintenance support. View our speakers and sign up here.

    This guest blog was kindly authored by Dr Adrian Gonzalez, Senior Lecturer in Sustainability at the University of York, and Richard Heller, Emeritus Professor of Public Health, University of Manchester UK and of Medicine, University of Newcastle Australia.

    Background

    Globally, humanity is grappling with a set of interconnected and intractable wicked problems, from the accelerating climate crisis to widening inequality. These are proving difficult to resolve, and higher educational institutions are needed to respond to them and advance solutions.

    Yet, at the same time, higher education around the world is facing its own structural problems that limit the sector’s ability to respond to societal issues. Our thesis is that a major transformation of higher education is required to allow the sector to respond. We identify the major challenges, offer one set of solutions, and call for interest in further discussion about how to transform higher education for the future.

    Climate hypocrisy

    Despite the current climate crisis, it features little in most universities’ education and research programmes. There are barriers to embedding sustainability into higher education degrees, including disciplinary conflicts over the meaning of sustainability and major institutional barriers. There is also work on greening university campuses, in some cases stimulated by student activists, although care needs to be taken that this does not become another form of higher education greenwashing. Buildings, travel by staff and students (including student field trips), as well as by international students, have a high carbon footprint. Currently, there is no requirement or standardised way of measuring or reporting universities’ carbon footprint. The response by the sector to this threat can therefore be characterised as tinkering rather than undertaking the transformation required to reflect the global climate emergency. 

    Knowledge inequity

    There are global, regional, national and socioeconomic inequities in access to university education, under-representation of populations in the creation of knowledge and global inequity in research publications, as well as silence or tokenism in educational decolonisation agendas. The commodification of knowledge and the commercialisation of the higher education sector hinder attempts to reduce inequity. The higher education system needs to transform to be more open and responsive to societal needs, offering the opportunity to increase knowledge equity. This will create opportunities and have long-term effects on reducing the problems caused by, between and within, national inequalities.

    Governance and management

    Employment precarity and casualised teaching and research work have risen across the international higher education sector. Excessive managerialism reduces academic autonomy. Gender pay gaps remain, and there is a general failure of the market-driven business model. Financial sustainability is lacking and requires overseas student fees to plug funding gaps across many higher education national contexts, while global needs for access to higher education are ignored in favour of those who can pay fees. Funding from fossil fuel and wider petrochemical companies that strengthen climate obstruction are also still embedded within global HE, including through different research funding avenues.

    Research

    As universities have commodified education; academic publishers have commodified the publication of research. A small number of powerful publishers dominate the field and make large profits by charging high fees for library subscriptions, or to authors in article processing charges, while using volunteer academics as reviewers and editors. This is perpetuated by a system which requires academics to ‘publish or perish’ and prioritises the citation of research in ‘high impact’ journals for academic advancement, often in Global North journals written in English. Publish or perish has also helped drive an acceleration in the quantity of articles published, arguably, in some cases, at the expense of quality. While prestige and academic advancement favour research over education within universities (promotion opportunities for those on an academic teaching pathway are fraught with challenges), research funding is precarious and inadequate. Funding for research on climate change is inadequate and inequitable.

    A distributed model of education

    The first step is to acknowledge these problems. There is a need to develop ideas and advocate for a transformation of higher education, and we call on others to join us in developing and working through ideas and potential solutions to help facilitate a progressive learning culture and practice which addresses these major issues.
    The use of a distributed model of education has the potential to address many of the problems outlined. Large campuses are replaced by local hubs, which can be physical or virtual. Education would be largely online and utilises open educational resources, research involves under-represented populations, and publication focuses on Diamond Open Access journals, which are community-driven, academic-led, and academic-owned. The carbon footprint of higher education would be drastically reduced, leadership distributed (hence managerialism reduced), and academic autonomy increased. Collaborative development and sharing of open educational resources reduces the drive to the commodification of education, and open publishing reduces the power of commercial publishers. These various initiatives will increase knowledge equity. The distributed model is consistent with societal moves towards decentralisation of the internet (Web3.0 and 4.0) and federated IT infrastructures (such as the Fediverse for open social media). Decentralised Autonomous Organisations (DAOs) may offer support. The adoption of such a model would encourage new locally driven academic environments and research initiatives responsive to societal needs.

    Calling for ideas and interest

    This is one set of ideas, but there must be others, large and small, global and local. For example, there are alternative options to increasing student fees, such as a progressive graduate tax, that would offer a fairer and more sustainable financial model. A recent book, Stories of hope – reimagining education, demonstrates that universities contain many committed educators who report exciting educational innovations.  Please express your interest in joining in a discussion about how we can tackle these challenges in a robust and transformational way. If you might be interested, please complete this short form and we will be in touch with further details.

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  • Widely used but barely trusted: understanding student perceptions on the use of generative AI in higher education

    Widely used but barely trusted: understanding student perceptions on the use of generative AI in higher education

    by Carmen Cabrera and Ruth Neville

    Generative artificial intelligence (GAI) tools are rapidly transforming how university students learn, create and engage with knowledge. Powered by techniques such as neural network algorithms, these tools generate new content, including text, tables, computer code, images, audio and video, by learning patterns from existing data. The outputs are usually characterised by their close resemblance to human-generated content. While GAI shows great promise to improve the learning experience in various disciplines, its growing uptake also raises concerns about misuse, over-reliance and more generally, its impact on the learning process. In response, multiple UK HE institutions have issued guidance outlining acceptable use and warning against breaches of academic integrity. However, discussions about the role of GAI in the HE learning process have been led mostly by educators and institutions, and less attention has been given to how students perceive and use GAI.

    Our recent study, published in Perspectives: Policy and Practice in Higher Education, helps to address this gap by bringing student perspectives into the discussion. Drawing on a survey conducted in early 2024 with 132 undergraduate students from six UK universities, the study reveals an impactful paradox. Students are using GAI tools widely, and expect their use to increase, yet fewer than 25% regard its outputs as reliable. High levels of use therefore coexist with low levels of trust.

    Using GAI without trusting it

    At first glance, the widespread use of GAI among students might be taken as a sign of growing confidence in these tools. Yet, when students are asked about their perceptions on the reliability of GAI outputs, many express disagreement when asked if GAI could be considered a reliable source of knowledge. This apparent contradiction raises the question of why are students still using tools they do not fully trust? The answer lies in the convenience of GAI. Students are not necessarily using GAI because they believe it is accurate. They are using it because it is fast, accessible and can help them get started or work more efficiently. Our study suggests that perceived usefulness may be outweighing the students’ scepticism towards the reliability of outputs, as this scepticism does not seem to be slowing adoption. Nearly all student groups surveyed reported that they expect to continue using generative AI in the future, indicating that low levels of trust are unlikely to deter ongoing or increased use.

    Not all perceptions are equal

    While the “high use – low trust” paradox is evident across student groups, the study also reveals systematic differences in the adoption and perceptions of GAI by gender and by domicile status (UK v international students). Male and international students tend to report higher levels of both past and anticipated future use of GAI tools, and more permissive attitudes towards AI-assisted learning compared to female and UK-domiciled students. These differences should not necessarily be interpreted as evidence that some students are more ethical, critical or technologically literate than others. What we are likely seeing are responses to different pressures and contexts shaping how students engage with these tools. Particularly for international students, GAI can help navigate language barriers or unfamiliar academic conventions. In those circumstances, GAI may work as a form of academic support rather than a shortcut. Meanwhile, differences in attitudes by gender reflect wider patterns often observed on academic integrity and risk-taking, where female students often report greater concern about following rules and avoiding sanctions. These findings suggest that students’ engagement with GAI is influenced by their positionality within Higher Education, and not just by their individual attitudes.

    Different interpretations of institutional guidance

    Discrepancies by gender and domicile status go beyond patterns of use and trust, extending to how students interpret institutional guidance on generative AI. Most UK universities now publish policies outlining acceptable and unacceptable uses of GAI in relation to assessment and academic integrity, and typically present these rules as applying uniformly to all students. In practice, as evidenced by our study, students interpret these guidelines differently. UK-domiciled students, especially women, tend to adopt more cautious readings, sometimes treating permitted uses, such as using GAI for initial research or topic overviews, as potential misconduct. International students, by contrast, are more likely to express permissive or uncertain views, even in relation to practices that are more clearly prohibited. Shared rules do not guarantee shared understanding, especially if guidance is ambiguous or unevenly communicated. GAI is evolving faster than University policy, so addressing this unevenness in understanding is an urgent challenge for higher education.

    Where does the ‘problem’ lie?

    Students are navigating rapidly evolving technologies within assessment frameworks that were not designed with GAI in mind. At the same time, they are responding to institutional guidance that is frequently high-level, unevenly communicated and difficult to translate into everyday academic practice. Yet there is a tendency to treat GAI misuse as a problem stemming from individual student behaviour. Our findings point instead to structural and systemic issues shaping how students engage with these tools. From this perspective, variation in student behaviour could reflect the uneven inclusivity of current institutional guidelines. Even when policies are identical for all, the evidence indicates that they are not experienced in the same way across student groups, calling for a need to promote fairness and reduce differential risk at the institutional level.

    These findings also have clear implications for assessment and teaching. Since students are already using GAI widely, assessment design needs to avoid reactive attempts to exclude GAI. A more effective and equitable approach may involve acknowledging GAI use where appropriate, supporting students to engage with it critically and designing learning activities that continue to cultivate critical thinking, judgement and communication skills. In some cases, this may also mean emphasising in-person, discussion-based or applied forms of assessment where GAI offers limited advantage. Equally, digital literacy initiatives need to go beyond technical competence. Students require clearer and more concrete examples of what constitutes acceptable and unacceptable use of GAI in specific assessment contexts, as well as opportunities to discuss why these boundaries exist. Without this, institutions risk creating environments in which some students become too cautious in using GAI, while others cross lines they do not fully understand.

    More broadly, policymakers and institutional leaders should avoid assuming a single student response to GAI. As this study shows, engagement with these tools is shaped by gender, educational background, language and structural pressures. Treating the student body as homogeneous risks reinforcing existing inequalities rather than addressing them. Public debate about GAI in HE frequently swings between optimism and alarm. This research points to a more grounded reality where students are not blindly trusting AI, but their use of it is increasing, sometimes pragmatically, sometimes under pressure. As GAI systems continue evolving, understanding how students navigate these tools in practice is essential to developing policies, assessments and teaching approaches that are both effective and fair.

    You can find more information in our full research paper: https://www.tandfonline.com/doi/full/10.1080/13603108.2025.2595453

    Dr Carmen Cabrera is a Lecturer in Geographic Data Science at the Geographic Data Science Lab, within the University of Liverpool’s Department of Geography and Planning. Her areas of expertise are geographic data science, human mobility, network analysis and mathematical modelling. Carmen’s research focuses on developing quantitative frameworks to model and predict human mobility patterns across spatiotemporal scales and population groups, ranging from intraurban commutes to migratory movements. She is particularly interested in establishing methodologies to facilitate the efficient and reliable use of new forms of digital trace data in the study of human movement. Prior to her position as a Lecturer, Carmen completed a BSc and MSc in Physics and Applied Mathematics, specialising in Network Analysis. She then did a PhD at University College London (UCL), focussing on the development of mathematical models of social behaviours in urban areas, against the theoretical backdrop of agglomeration economies. After graduating from her PhD in 2021, she was a Research Fellow in Urban Mobility at the Centre for Advanced Spatial Analysis (CASA), at UCL, where she currently holds a honorary position.

    Dr Ruth Neville is a Research Fellow at the Centre for Advanced Spatial Analysis (CASA), UCL, working at the intersection of Spatial Data Science, Population Geography and Demography. Her PhD research considers the driving forces behind international student mobility into the UK, the susceptibility of student applications to external shocks, and forecasting future trends in applications using machine learning. Ruth has also worked on projects related to human mobility in Latin America during the COVID-19 pandemic, the relationship between internal displacement and climate change in the East and Horn of Africa, and displacement of Ukrainian refugees. She has a background in Political Science, Economics and Philosophy, with a particular interest in electoral behaviour.

    Author: SRHE News Blog

    An international learned society, concerned with supporting research and researchers into Higher Education

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  • Teaching Students Agency in the Age of AI

    Teaching Students Agency in the Age of AI

    Students have little opportunity to practice agency when an LMS tracks their assignments, they’re not encouraged to explore different majors and colleges shrink general education requirements, according to writer and educator John Warner.

    In the latest episode of The Key, Inside Higher Ed’s news and analysis podcast, Warner tells IHE’s editor in chief, Sara Custer, that colleges should refocus on teaching students how to learn and grow.

    “Agency writ large is the thing we need to survive as people … but it’s also a fundamental part of learning, particularly writing.”

    Warner argues that with the arrival of AI, helping students develop agency is even more of an imperative for higher education institutions.

    “AI is a homework machine … Our response cannot be ‘you’re just going to make this thing using AI now,’” Warner said. “More importantly than this is not learning anything, it is a failure to confront [the question]: What do we, as humans, do now with this technology?”

    Warner also shares what he’s learned from consulting and speaking about teaching and AI at campuses across the country. Ultimately, he says, faculty can work with AI in a way that still aligns with their institutional values.

    Listen to the full episode.

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