Tag: work

  • New Research Highlights the Power of Access Work — and the Tools We Need to Evaluate It 

    New Research Highlights the Power of Access Work — and the Tools We Need to Evaluate It 

    • This blog was kindly authored by Dr Anna Anthony, director of HEAT. HEAT provides a collaborative data service enabling higher education providers, Uni Connect partnerships and Third Sector Organisations to show the impact of their equality of opportunity delivery through a shared, standardised data system. By aggregating data from across the membership, HEAT can publish national-level impact reports for the sector. 

    It has never been more important for providers across the sector to show that access and participation activities have an impact. With resources stretched, we need to know the work we are doing is making a measurable difference. New research from HEAT reveals a series of powerful findings: 

    1. Intensive outreach boosts HE entry by up to 29% – Students who received at least 11 hours of intensive outreach were up to 29% more likely to enter higher education (HE) than matched peers receiving minimal support. 
    1. Disadvantaged students see the biggest gains – Free school meal (FSM) eligible students were up to 48% more likely to progress to HE when engaged in intensive outreach. 
    1. Uni Connect makes a difference – The largest relative increases in HE entry were observed in FSM-eligible students who participated in Uni Connect-funded activities, further demonstrating the importance of impartial outreach delivered collaboratively. 
    1. Access to selective universities improves – Intensive outreach from high-tariff providers increased the chance of progressing to a high-tariff university by 19%. 
    1. Sustained support across Key Stages is vital – Outreach delivered across both Key Stages 4 and 5 had the greatest impact, highlighting the need for long-term, multi-stage interventions throughout secondary education. 

    These findings provide compelling evidence that the work being done across the sector to widen participation is not only reaching the right students but changing trajectories at scale. Crucially, this latest research includes previously unavailable controls for student-level prior attainment — adding new rigour to our understanding of outreach impact. You can read the full report on our website

    What’s next for national-level research? 

    Our ability to generate this kind of national evidence is set to improve even further thanks a successful bid to the Office for Students (OfS) Innovation Fund. Through a collaboration with academics at the Centre for Education Policy and Equalising Opportunities (CEPEO) at the UCL Institute of Education, HEAT will lead on the development and piloting of a pioneering new Outreach Metric, measuring providers’ broader contribution to reducing socio-economic gaps in HE participation. More details about this project can be found here, and we look forward to sharing early findings with the sector in 2026. 

    Local-level evaluation is just as important 

    While national analyses like these are essential to understanding the big picture, the OfS rightly continues to require providers to evaluate their own delivery. Local evaluations are critical for testing specific interventions, understanding how programmes work in different contexts, and learning how to adapt practice to improve outcomes. Yet robust evaluation is often resource-intensive and can be out of reach for smaller teams. 

    This is where use of a sector-wide system for evaluation helps – shared systems like HEAT provide the infrastructure to track student engagement and outcomes at a fraction of the cost of building bespoke systems. Thanks to a decade of collaboration, we now have a system which the sector designed and built together, and which provides the tools necessary to deliver the evaluation that the OfS require providers to publish as part of their Access and Participation Plans (APP).  

    We’re also continuing to improve our infrastructure. Thanks to a second successful bid to the OfS Innovation Fund we are building system functionality to support providers to use their tracking data when evaluating their APP interventions. This includes an ‘automated comparator group tool’ that will streamline the process of identifying matched participant and non-participant groups based on confounding variables. By reducing the need for manual data work, the tool will make it easier to apply quasi-experimental designs and generate more robust evidence of impact. 

    Next steps – sharing through publication 

    With all these tools at their disposal, the next step is to support the sector to publish their evaluation. We need shared learning to avoid duplication and siloed working. HEAT is currently collaborating with TASO to deliver the Higher Education Evaluation Library (HEEL), which will collect, and share, intervention-level evaluation reports in one accessible place for the first time. By collating this evidence, the HEEL will help practitioners and policymakers alike to see what works, what doesn’t, and where we can improve together. 

    If we want to continue delivering meaningful progress on access and participation, we need both meaningful, critical local evaluation and powerful national insights. Centralised data tracking infrastructure can give the sector the tools it needs to do both. 

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  • The Art of Collaboration: Designing Assignments That Work – Faculty Focus

    The Art of Collaboration: Designing Assignments That Work – Faculty Focus

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  • The Art of Collaboration: Designing Assignments That Work – Faculty Focus

    The Art of Collaboration: Designing Assignments That Work – Faculty Focus

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  • Avoiding Work Has Always Been Part of College. This Is New.

    Avoiding Work Has Always Been Part of College. This Is New.

    In a recent piece in The New Yorker, “What Happens After AI Destroys College Writing?,” Hua Hsu tells a story that will be familiar to anyone working in higher education: students wrestling—to varying degrees—about when and how to use generative AI tools like ChatGPT in the completion of their schoolwork.

    There is a range of approaches and opinions among students—as there must be, as students are not a monolith—but Hsu centers the piece around “Alex,” an NYU student with a future goal to become a CPA who makes extensive and, to his mind, strategic use of these tools in various aspects of his life, including in writing the emails he exchanged with Hsu to arrange the interview for the piece.

    Alex walks Hsu through his use of Claude to first crunch an article on Robert Wedderburn (a 19th-century Jamaican abolitionist) into a summary, and then, when the summary was longer than he had time to absorb before class, to reduce it to bullet points that he then transcribed into a notebook since his professor didn’t allow computers in class.

    In a more elaborate example, Alex also used it to complete an art history assignment rooted in a visit to a museum exhibition, where he took pictures of the works and wall text and then fed it all into Claude.

    His rationale, as told to Hsu, was “I’m trying to do the least work possible, because this is a class I’m not hella fucking with.”

    At the end of the article, we check in with Alex on his finals. Alex “estimated he’d spent between thirty minutes and an hour composing two papers for his humanities classes,” something that would’ve taken “eight or nine hours” without Claude. Alex told Hsu, “I didn’t retain anything. I couldn’t tell you the thesis for either paper hahhahaha.”

    Hsu then delivers the kicker: “He received an A-minus and a B-plus.”

    I mean this without offense to Hsu, an accomplished writer (New Yorker staff writer and author of the best-selling memoir Stay True) and professor at Bard College, but the piece, for all its specifics and color, felt like very old news—to me, at least.

    The transactional mindset toward education, something I’ve been writing about for years, is on perfect display in Alex’s actions. Generative AI has merely made this more plain, more common and more troubling, since there aren’t even any hoops to jump through in order to fake engagement. Alex is doing nothing (or nearly so) and earning credits from New York University.

    On reflection, though, the story of Alex is even older than I thought, since it was also my story, particularly the line “I’m trying to do the least work possible,” which was very much my experience for significant chunks of my own college experience from 1988 to 1992.

    I earned quite a few credits in my time for, if not doing nothing, certainly learning nothing. Or not learning the subject for which I’d earned the credits, anyway.

    How could I blame a student of today for adopting the attitude that I lived by? With my own students, when I was teaching college, I often made hay from my lackluster undergraduate performance, talking about how I skipped more than 70 percent of my class meetings second semester of freshman year but still received no grade lower than a B.

    In the article, Hsu remarks that “None of the students I spoke with seemed lazy or passive.” The students “worked hard—but part of their effort went to editing out anything in their college experiences that felt extraneous. They were radically resourceful.”

    I, on the other hand, at least when it came to the school part of college, was resolutely lazy and largely passive, except when it came to making sure to avoid courses I was not interested in—essentially anything outside of reading and writing—or that had a mode of assessment not suited to my skills.

    My preferred structure was a lecture or lecture/discussion with in-class essay exams and/or short response papers geared to specific texts. Exams and research papers were to be avoided, because exams required studying and research papers required … research.

    If you let me loose on a reading or a few chapters from a textbook, I had no trouble giving something that resembled a student doing college, even though the end result was very much akin to Alex’s. I didn’t retain anything.

    But hindsight says I learned a lot—or learned enough, anyway, through the classes I was interested in and, perhaps more importantly, the noncurricular experiences of college.

    While there are some similarities between my and Alex’s mindset vis-à-vis college, there is a significant difference. Alex appears to be acting out of an “optimization” mindset, where he focuses his efforts on what is most “relevant,” presumably to his future interests, like employment and monetary earnings.

    I, on the other hand, majored in the “extraneous experiences.” I was pretty dedicated to the lacrosse club, showing up for practice five days a week with games on the weekend, but I also recall a game day following my 21st birthday when I was so hungover (and perhaps still drunk) that you could smell the alcohol oozing from my pores. My shifts in the midfield were half the length of my line mates’.

    (That was the last time I got that drunk.)

    I recall a contest at my fraternity where the challenge was to gain the most weight within an 18-hour period, during which we stuffed ourselves with spaghetti, Italian bread, chocolate pudding and gallons of water until we were sick and bloated. Another time we ground through an entire season of Nintendo Super Tecmo Bowl football over the span of a few days, skipping class if you had a matchup that needed playing. We had a group of regulars who gathered in my room to watch All My Children and General Hospital most weekdays. I am the least successful of that crew by a fair stretch.

    I know that I took courses in economics, geography, Asian studies and Russian history where, like Alex, I retained virtually nothing about the course material even days after the courses, when I crammed for a test or bs’ed my way through a paper to get my B and move on to what I wanted to spend my time on.

    From my perspective as a middle-aged person whose life has been significantly enhanced by all the ways I dodged schoolwork while I was in college, including spending inordinate amounts of time with the woman to whom I have been married for 25 years this August, I would say that missing out on those classes to make room for experiences was the right thing to do.

    (Even though I had no understanding of this at the time.)

    Will Alex look back and feel the same?

    So many questions that need exploring:

    Would Alex be as appalled by my indigence, my failure at optimization, as I am by his ignorance?

    Have we lost our belief that we as humans have agency over this world of technology?

    Is Alex actively deskilling himself, or am I failing to develop the skills necessary for surviving in the world we’ve made for students like Alex?

    I wonder if Alex and I have different definitions of what it is to survive.

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  • 60% of Teachers Used AI This Year and Saved up to 6 Hours of Work a Week – The 74

    60% of Teachers Used AI This Year and Saved up to 6 Hours of Work a Week – The 74


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    Nearly two-thirds of teachers utilized artificial intelligence this past school year, and weekly users saved almost six hours of work per week, according to a recently released Gallup survey. But 28% of teachers still oppose AI tools in the classroom.

    The poll, published by the research firm and the Walton Family Foundation, includes perspectives from 2,232 U.S. public school teachers.

    “[The results] reflect a keen understanding on the part of teachers that this is a technology that is here, and it’s here to stay,” said Zach Hrynowski, a Gallup research director. “It’s never going to mean that students are always going to be taught by artificial intelligence and teachers are going to take a backseat. But I do like that they’re testing the waters and seeing how they can start integrating it and augmenting their teaching activities rather than replacing them.”

    At least once a month, 37% of educators take advantage of tools to prepare to teach, including creating worksheets, modifying materials to meet student needs, doing administrative work and making assessments, the survey found. Less common uses include grading, providing one-on-one instruction and analyzing student data.

    A 2023 study from the RAND Corp. found the most common AI tools used by teachers include virtual learning platforms, like Google Classroom, and adaptive learning systems, like i-Ready or the Khan Academy. Educators also used chatbots, automated grading tools and lesson plan generators.

    Most teachers who use AI tools say they help improve the quality of their work, according to the Gallup survey. About 61% said they receive better insights about student learning or achievement data, while 57% said the tools help improve their grading and student feedback.

    Nearly 60% of teachers agreed that AI improves the accessibility of learning materials for students with disabilities. For example, some kids use text-to-speech devices or translators.

    More teachers in the Gallup survey agreed on AI’s risks for students versus its opportunities. Roughly a third said students using AI tools weekly would increase their grades, motivation, preparation for jobs in the future and engagement in class. But 57% said it would decrease students’ independent thinking, and 52% said it would decrease critical thinking. Nearly half said it would decrease student persistence in solving problems, ability to build meaningful relationships and resilience for overcoming challenges.

    In 2023, the U.S. Department of Education published a report recommending the creation of standards to govern the use of AI.

    “Educators recognize that AI can automatically produce output that is inappropriate or wrong. They are well-aware of ‘teachable moments’ that a human teacher can address but are undetected or misunderstood by AI models,” the report said. “Everyone in education has a responsibility to harness the good to serve educational priorities while also protecting against the dangers that may arise as a result of AI being integrated in ed tech.”

    Researchers have found that AI education tools can be incorrect and biased — even scoring academic assignments lower for Asian students than for classmates of any other race.

    Hrynowski said teachers are seeking guidance from their schools about how they can use AI. While many are getting used to setting boundaries for their students, they don’t know in what capacity they can use AI tools to improve their jobs.

    The survey found that 19% of teachers are employed at schools with an AI policy. During the 2024-25 school year, 68% of those surveyed said they didn’t receive training on how to use AI tools. Roughly half of them taught themselves how to use it.

    “There aren’t very many buildings or districts that are giving really clear instructions, and we kind of see that hindering the adoption and use among both students and teachers,” Hrynowski said. “We probably need to start looking at having a more systematic approach to laying down the ground rules and establishing where you can, can’t, should or should not, use AI In the classroom.”

    Disclosure: Walton Family Foundation provides financial support to The 74.


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  • ATEC starts work with reform agenda – Campus Review

    ATEC starts work with reform agenda – Campus Review

    Tertiary education’s new steward will focus on allocating university funding, harmonising tertiary education and negotiating mission-based contracts, according to its Terms of Reference released on Tuesday.

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  • We have to work together to improve school culture and make our public schools great places to teach, work and learn

    We have to work together to improve school culture and make our public schools great places to teach, work and learn

    A torrent of controversy has erupted over the Trump administration’s decision to shutter the federal Department of Education. Critics howl that it will destroy public education in America. Supporters insist it will somehow make things better.

    The only thing that’s clear is that our public education system is broken. It’s time for politicians to stop using education as a political football, with blue and red teams competing for control rather than sharing the responsibility to prepare our children for their futures.

    The resulting chaos and confusion and rigid policies choke the joy out of learning and of working in our schools. Insufficient attention by leaders to education culture can result in fear and distrust, turf wars and a tendency to blame and make excuses for a lack of progress.

    Such behaviors produce a toxicity that disables learning and disempowers leadership. Instead of increasing our nation’s economic prosperity, we’re deepening inequality, limiting opportunity and sadly wasting the potential of many children, on whose ability to thrive our country depends.

    Poor work conditions, insufficient support, inadequate pay and limited career opportunities are among some of the reasons teachers are leaving and schools are struggling to attract top talent. Reductions in funding from the Great Recession through the present render our facilities dangerous in some instances and unwelcoming in others. Would you buy a house with barbed wire fencing and unkempt grounds that make you wonder whether the aim is to keep something out or in?

    Related: A lot goes on in classrooms from kindergarten to high school. Keep up with our free weekly newsletter on K-12 education.

    What should we do to change what is going on inside our schools?

    We must first of all start working together to make our public schools great places to teach and learn.

    Great places to work and learn are places that are well led, fueled by purpose and guided by shared, positive behaviors that advance learning goals and serve as “rules of the road” for how employees and students are expected to behave.

    In great schools, employees, students and families are respected and valued. Leaders in great schools inspire their employees — all of them — to do more than they think they can. Employees align behind the purpose of enabling learning, which creates momentum and camaraderie for what they are working to attain together.

    In great schools, leaders inspire their communities to join them in cheering for and supporting kids’ future successes. Families, no matter their socioeconomic status, feel a sense of belonging.

    Problems are perceived as opportunities to get better, not sources of indiscriminate blame. Solutions are found by looking in the mirror first. External threats to learning, such as poverty or parents’ underemployment, are acknowledged and addressed. Schools don’t dodge their responsibility to educate all kids.

    In great schools, kids are known by caring employees; they feel seen and heard and are deeply engaged and invested in their learning.

    Every employee working in a great school district feels responsible for achieving the district’s mission, no matter whether they work inside or outside of the classroom.

    When kids return after being absent, employees welcome them back, tell them they were missed and focus on catching them up. They do not judge the constraints of their families’ lives or mete out punishment as though missing school is a crime.

    Related: Horticulture, horses and ‘Chill Rooms’: One district goes all-in on mental health support

    Great places to learn must also be great places to work. We must reframe our concept of schools as not just places where kids learn. Great places to work care about the needs of all the human beings in their care, including and especially their employees.

    “To win in the marketplace, you must first win in the workplace,” Douglas R. Conant, former Campbell Soup Company CEO famously said. He knew what is becoming clearer within our public school systems — that unhappy, unfulfilled employees lead to high turnover, disengagement by students and staff and disaffected families turning to alternative educational offerings.

    It is no secret that attracting and retaining top talent to work in our schools is increasingly difficult as employees seek more stability. Attracting younger workers is even more difficult.

    Many of those who currently work in schools, especially teachers, are stressed, burned out and dissatisfied. Being stressed and burned out is not a normative experience; it’s a symptom of a weak culture, and an organizational problem to be solved. And employee turnover is no longer limited to teachers. There are increasing vacancies among principals, bus drivers and food service and facilities staff.

    The quality of the experiences of employees working in our schools must be higher. Every point along the employee experience continuum, from applying for a job to choosing to leave, is an opportunity to deepen employee engagement and commitment to being a high performer.

    We can fix what we have broken. Thinking differently about making our public schools great places to work and learn is a good place to start. No policy changes are required to demonstrate concern for the human beings the system employs and seeks to educate.

    Etienne R. LeGrand is a thought leader, writer and culture-shaping strategist and adviser at Vivify Performance.

    Contact the opinion editor at [email protected].

    This story about school culture was produced by The Hechinger Report, a nonprofit, independent news organization focused on inequality and innovation in education. Sign up for Hechinger’s weekly newsletter.

    The Hechinger Report provides in-depth, fact-based, unbiased reporting on education that is free to all readers. But that doesn’t mean it’s free to produce. Our work keeps educators and the public informed about pressing issues at schools and on campuses throughout the country. We tell the whole story, even when the details are inconvenient. Help us keep doing that.

    Join us today.

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  • Podcast: Spending review, Tooling Up, REF, students at work

    Podcast: Spending review, Tooling Up, REF, students at work

    This week on the podcast we examine the government’s spending review and what it means for higher education. How will the £86bn R&D commitment translate into real-terms funding, and why was education notably absent from the Chancellor’s priorities?

    Plus we discuss the Post-18 Project’s call to fundamentally reshape HE policy away from market competition, the startling new REF rules, and the striking rise in student term-time working revealed by the latest Student Academic Experience Survey.

    With Stephanie Harris, Director of Policy at Universities UK, Ben Vulliamy, Executive Director at the Association of Heads of University Administration, Michael Salmon, News Editor at Wonkhe, and presented by Mark Leach, Editor-in-Chief at Wonkhe.

    Tooling up: Building a new economic mission for higher education

    Investing for the long term often loses out to pensioner power

    What’s in the spending review for higher education

    The student experience is beyond breaking point

    How to assess anxious, time-poor students in a mass age

    REF is about institutions not individuals

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  • How AI Is Transforming Your Work: Insights from CUPA-HR’s Spring Conference – CUPA-HR

    How AI Is Transforming Your Work: Insights from CUPA-HR’s Spring Conference – CUPA-HR

    by Julie Burrell | June 4, 2025

    At the recent CUPA-HR Spring Conference in Seattle, artificial intelligence was a major topic of conversation, from session rooms to hallway discussions. AI has reshaped how many HR pros operate. It’s now being used as a daily tool, whether as a personal assistant for daily tasks or a strategic thought partner in decision-making.

    Here’s how higher ed HR is using AI now.

    Drafting communications and messaging. AI can help draft everything from emails to campus-wide communications. At her spring keynote, Jennifer Parker of the Colorado Community College System said she uses ChatGPT to rewrite her emails to be more formal in tone. She also recommends trying out AI to make internal communications more creative and tailored, like an inspiring message inviting specific groups of employees to review their benefits during open enrollment.

    Making meetings more productive and presentations easier. AI is helping HR pros compile, organize and summarize their meeting notes. AI can also make checklists and to-do’s following meetings. Use AI to create slide decks and scripts for presentations.

    If you’re looking to maximize your time, quickly make your longer meeting notes — like those from the recent CUPA-HR conference — into a conversational podcast using Google’s NotebookLM tool.

    Helping you with internal talent development or coaching for individual career paths. AI can help you create a training or professional development program in record time, like Jennifer Parker did with her civility training program. It can also act as a career coach when used with the right prompts.

    Assisting in talent acquisition. With AI, writing job descriptions has never been easier. For interviews, enter in a job description and ask AI to come up with applicable interview questions or ask for help in creating interview questions that are more neuroinclusive.

    Injecting some creativity throughout the day. Members also shared imaginative uses of AI, like using Doodly to create animated whiteboards, asking ChatGPT to turn selfies into Lego minifigures, or using Canva’s AI features to make eye-catching designs.

    Scaling Up

    AI can do amazing things when used on a larger scale. HR pros are tackling more extensive projects with AI, often in collaboration with other departments.

    Analyzing feedback and surveys. AI can process the results of open-ended survey questions and help identify themes to make surveys more effective than ever, with the partnership of survey experts and AI practitioners on campus.

    See how Harvard University’s Center for Workplace Development used AI in combination with HRIS data to create a strategic needs assessment survey.

    Brainstorming and researching for deeper insights. Proprietary software like Microsoft Copilot enables a deeper dive into existing institutional information and data. By uploading your institution’s mission and strategic priorities, you can accomplish any number of initiatives. Try creating recruitment materials, professional development programs, performance metrics and evaluations, or even a strategic priorities document specific to HR.

    During their presentation, the talent management team at Grand Valley State University shared how they integrated AI into their process for creating core competencies. AI assisted them in brainstorming key competencies, cross-checking those competencies with their institutional values, and transforming them into action-oriented language.

    Training Others on AI. Many HR leaders have been encouraging their employees to experiment with AI, including launching trainings or directing staff to existing trainings. For example, Microsoft offers general Copilot trainings and HR-specific trainings, all self-directed.

    While AI adoption is picking up speed, there are certainly challenges in incorporating it into your workflow. Spring conference attendees mentioned concerns ranging from legal compliance to ensuring truth and authenticity in communication. But used with safeguards, AI has the potential to free up time and allow HR to do what it does best: the fundamentally human work of caring for the people on your campus.



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  • Redistribution doesn’t work when there’s nothing left to redistribute

    Redistribution doesn’t work when there’s nothing left to redistribute

    Too many people across our country do not get the chance to succeed.

    So the government is committed to supporting the aspiration of every person who meets the requirements and wants to go to university or pursue an apprenticeship, regardless of their background, where they live and their personal circumstances.

    Those aren’t my words – they’re the words of the House of Commons’ HE supply teacher Janet Daby, who answers for actual (Lords) minister Jacqui Smith whenever a question comes up about universities or students.

    This answer is a typical one – in which she notes that in the summer, the department (for education) will set out its plan for HE reform and that it will expect providers to play an “even stronger” role in improving access and outcomes for all disadvantaged students.

    Specifically on financial support:

    Whilst many HE providers have demonstrated positive examples of widening access, including targeted outreach and bursaries, we want to see the sector go further.

    Back in 2014, partly to get “top-up fees” through Parliament, then secretary of state Charles Clarke announced that a new Office for Fair Access (OFFA) would be created – and that it would require universities to offer up some of their additional fee income in bursaries.

    Assuming that a proportion of student financial support should come partly via universities’ own budgets has always created a tension – between those who say that local decision making (aka institutional autonomy) is better at designing schemes that get the money to where it’s really needed, and those that argue that redistributing fee income within a provider rather than across the country means that financial support ends up being based not on need, but on the number of other students at your university that need it.

    We used to be able to see that clearly. OfFA used to track how many “OfFA countable” students each provider had and their spending on financial support, and it would generally show that providers doing the most for access tended to have the least to spend per student.

    Over time, direct student financial support declined in popularity. Research questioned bursaries’ impact on applications (unsurprising given how hard it was to find information on them), and it tended to struggle to find retention benefits from 2006-2011 – findings that then got extrapolated far beyond their timeframe.

    Pressure to demonstrate impact led providers to focus on entry and completion metrics rather than the experience students were having as a result. That seemed less critical in the mid-2010s when inflation was low and maintenance loans were cranked up to hide the fact that grants were eliminated. Students living at home (more likely from widening participation backgrounds) also got relatively generous maintenance support compared to their costs.

    Eventually, provider-level reporting on student financial support pretty much disappeared as the Office for Students started to emphasise outcomes over experience or spending transparency.

    But with maintenance support over the past few years some distance from inflation, and the income thresholds over which parents are expected to top up stuck at the level they were set at in the year that Madeleine McCann went missing (18 whole years ago), we really do need some sense of how the mix is panning out.

    So to help us to understand what’s been going on, for the fourth year running we’ve managed to extract some data out of OfS via an FOI request.

    The data

    Ever since the days of the Office for Fair Access (OFFA), HESA has collected data on the amounts of student financial support, and the number of students that helps, for each university in England – and here we have that data over the past few years.

    It covers four different types of spend on student financial support:

    • Cash: This covers any bursary/scholarship/award that is paid to students, where there is no restriction on the use of the award
    • Near cash: This includes any voucher schemes or prepaid cards awarded to students where there are defined outlets or services for which the voucher/card can be used
    • Accommodation discounts: This includes discounted accommodation in university halls / residences
    • Other: This includes all in-kind or cash support that is not included in the above categories and includes, but is not limited to, travel costs, laboratory costs, printer credits, equipment paid for, subsidised field trips and subsidised meal costs

    Some caveats: We remain less than 100 per cent convinced about the data quality, this doesn’t tell us how much money is going to disadvantaged students specifically, it doesn’t tell us about need (and the extent to which need is being met), I’ve yanked out most of what we used to call alternative providers for comparison purposes, and it only covers home domiciled undergraduates (and below, in terms of level of study).

    But it is, nevertheless, fascinating. Here’s the numbers for each provider in England:

    [Full Screen]

    If we nationally just look at cash help, in 2023/24 just over £496m went to just under 311k students – a spend per head of £1,598 – very slightly above last year’s £1,464 per head.

    But dive a little deeper and you find astonishing disparities. In the Russell Group the £ per head was £2,362 – about £40 up on the previous year. Across Million+ providers that figure was £726 – just £4 more than 2 years ago.

    Interestingly, per student helped, the Russell Group spent the same in cash help per student as it did in 2019. Maybe inflation doesn’t apply in elite universities, or maybe they’re getting worse at recruiting those on low incomes. Meanwhile the cash spend per student helped across Million+ universities has almost halved from £1,309 in 2019/20.

    Clearly all universities are under financial pressure – but what we see is almost certainly an artefact of redistributing fee income around a provider rather than around a country, and it appears to result in manifest unfairness.

    Even if we don’t adjust for inflation, spend per student helped has fallen for 45 universities between 2022/23 and 2023/24, and since 2019, it’s fallen for 56 universities. If we do apply inflation (CPI), only five are beating their 2019 SPH. No wonder students are struggling to come to campus.

    Some may say that it might be better just to look at what’s been going on under the auspices of formal, declarable access and participation work. HESA finance data now includes a look at expenditure – but not the number of students that expenditure covers, nor the total amounts invested pre-pandemic, and nor the amounts allocated in premium funding, all of which would aid meaningful comparison.

    Moving money around

    I tend, in general, to be a fan of redistribution and cross-subsidy. It can help reduce economic inequality, promote social stability, and ensure that everyone has access to basic necessities. It reflects a commitment to fairness and the idea that a society should care for all its members.

    As such, the logical bit of my brian never had much of a problem with the Charles Clarke/OFFA expectation – it was at least aimed at ensuring that everyone got to have a decent experience at university.

    But the redistributive effects of moving money around a provider when some providers (which already tend to be the richest) have fewer poor kids to spend it on never really added up.

    If you really wanted the system to be fairer, and for the most money to reach those who need it most, you might start by acting regionally. I doubt that John Blake’s regional partnership structures – which will involve cohort-level renewal for Access and Participation Plans will actually go as far as expecting providers in a region to pool their bursary or hardship spend – but there’s a very good logical case for that kind of approach.

    When students at Salford are getting £358 each in cash help while their neighbours at the University of Manchester are getting £1,829, there’s a very strong case for pooling the money.

    But even if that was to happen, beware the regional agglomeration effects. The region with the lowest higher education participation rate in the UK is the North East of England, at 33.4 per cent. London, with its 63 per cent rate, ought to be giving some of its spend on student financial support away to support participation up North.

    And once you’re there, you (re)realise what many said at the time of the Clarke announcement – that moving money around a university when participation in universities is so unequal to start with is no way to run a fair system.

    And even more importantly, it’s not fair on fee-paying students. When the assumption was that fees were a small part of the overall funding mix, we could say to students that the state’s contribution would be focussed more on those in need.

    Even with fees at £9,000, the redistributive effects of some paying much more than that through interest of RPI+3% and some much less via the repayment threshold and the cut-off – all while funding a moderately comfortable financial support system for all – was some sort of egalitarianism in action.

    But once the subsidy slips away, and students are expected to pay back almost all of the debt they incur, we end up expecting their personal debt to do what the state ought to do. And while it’s one thing for your fees to be spent subsidising other students at your own university, it would be quite another for them to be spent subsidising those at others in your region, or even around the UK.

    Then add in the fact that in UUK’s cuts survey, just under half of universities (49 per cent) say they may still need to cut hardship funding and 59 per cent say they may need to cut bursaries. Even if some sort of tougher APP regime was to find a way to stop that, that just means that wider cuts will fall on everyone – and so for some students, less and less of their actual contribution will end up being spent on their actual education.

    It turns out that the progressive taxation – ensuring that those with higher incomes contribute a larger share of their earnings to public services – is the much better way to promote economic fairness and reduce income inequality. Who knew?

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