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  • Supporting Transfer Student Success Through Data

    Supporting Transfer Student Success Through Data

    Transfer students often experience a range of challenges transitioning from a community college to a four-year institution, including credit loss and feeling like they don’t belong on campus.

    At the University of California, Santa Barbara, 30 percent of incoming students are transfers. More than 90 percent of those transfers come from California community colleges and aspire to complete their degree in two years.

    While many have achieved that goal, they often lacked time to explore campus offerings or felt pressured to complete their degree on an expedited timeline, according to institutional data.

    “Students feel pressure to complete in two years for financial reasons and because that is the expectation they receive regarding four-year graduation,” said Linda Adler-Kassner, associate vice chancellor of teaching and learning. Transfer students said they don’t want to “give up” part of their two years on campus to study away, she said.

    Institutional data also revealed that their academic exploration opportunities were limited, with fewer transfers participating in research or student groups, which are identified as high-impact practices.

    As a result, the university created a new initiative to improve transfer student awareness of on-campus opportunities.

    Getting data: UCSB’s institutional research planning and assessment division conducts an annual new student survey, which collects information on students’ demographic details, academic progress and outside participation or responsibilities. The fall 2024 survey revealed that 26 percent of transfers work for pay more than 20 hours per week; an additional 40 percent work between 10 and 20 hours per week. Forty-four percent of respondents indicated they do not participate in clubs or student groups.

    In 2024, the Office of Teaching and Learning conducted a transfer student climate study to “identify specific areas where the transfer student experience could be more effectively supported,” Adler-Kassner said. The OTL at UCSB houses six units focused on advancing equity and effectively supporting learners.

    The study found that while transfers felt welcomed at UCSB, few were engaging in high-impact practices and many had little space in their schedules for academic exploration, “which leads them to feel stress as they work on a quick graduation timeline,” Adler-Kassner said.

    Put into practice: Based on the results, OTL launched various initiatives to make campus stakeholders aware of transfer student needs and create effective interventions to support their success.

    Among the first was the Transfer Connection Project, which surveys incoming transfer students to identify their interests. OTL team members use that data to match students’ interests with campus resources and generate a personalized letter that outlines where the student can get plugged in on campus. In fall 2025, 558 students received a personal resource guide.

    The data also showed that a majority—more than 60 percent—of transfers sought to enroll in four major programs: communications, economics, psychological and brain sciences, and statistics and data science.

    In turn, OTL leaders developed training support for faculty and teaching assistants working in these majors to implement transfer-focused pedagogies. Staff also facilitate meet-and-greet events for transfers to meet department faculty.

    This work builds on the First Generation and Transfer Scholars Welcome, which UCSB has hosted since 2017. The welcome event includes workshops, a research opportunity fair and facilitated networking to get students engaged early.

    The approach is unique because it is broken into various modules that, when combined, create a holistic approach to student support, Adler-Kassner said.

    Gauging impact: Early data shows the interventions have improved student success.

    Since beginning this work, UCSB transfer retention has grown from 87 percent in 2020 to 94 percent in 2023. Similarly, graduation rates increased 10 percentage points from 2020 to 2024. Adler-Kassner noted that while this data may be correlated with the interventions, it does not necessarily demonstrate causation.

    In addition, the Transfer Student Center reaches about 40 percent of the transfer student population each year, and institutional data shows that those who engage with the center have a four-percentage-point higher retention rate and two-point higher graduation rate than those who don’t.

    Do you have an intervention that might help others promote student success? Tell us about it.

    This article has been updated to correct the share of incoming students that are transfers at UCSB.

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  • Student Success and Working-Class Students: Whose Success is it Anyway? 

    Student Success and Working-Class Students: Whose Success is it Anyway? 

    This blog was kindly authored by Max Collins, a student at the University of Sheffield and Jon Down, Director of Development at Grit Breakthrough Programmes 

    A lot is made of higher education being a driver of social mobility, a route for students from working-class backgrounds to achieve labour market success and higher earnings. But, at the same time, many argue that this view is at odds with how students think about the value of their education.  

    The student-led evaluation of the University of Sheffield Ambition Programme, in which Grit was a delivery partner, tells us that this is not how working-class students see it at all. Funded by the Law Family Charitable Foundation, the programme aims to support the success of young men from pre-16 through to graduation and beyond.  

    For some, being at university is less about personal success, more about what it means for their family. Students interviewed by the evaluation team talked about how:  

    success is less about my career or actual achievements. It’s more about my family…  guiding my younger siblings into higher education.   

    For others it’s about taking the opportunities that run alongside the academic experience:  

    At the end of the day a degree is a piece of paper to get to you into a field of work but the opportunities are what makes a degree… for me it’s definitely the wider opportunities. 

    Personal growth and personal satisfaction are also significant indicators of success. Success is: 

    Proving that I could do it. My parents didn’t expect me to go to uni. I wasn’t ever a person who was getting straight As or was the smartest in the class… no one ever thought I was going to go into higher education. Even I didn’t. 

    And it comes with  

    the process and the journey, what you learn from different situations and experiences. 

    Much of this mirrors what employers say about the priorities of new graduates in the workplace.  As one student said:  

    Success is more about the satisfaction you feel at the end of the day, your work-life balance and just feeling like you’re making a difference rather than the financial (although obviously the financial has an impact). 

    Underpinning the conventional, narrow take on what success should look like is a Social Mobility narrative stuck in deficit mode. It is one where working-class pupils at school need to be mended, to be fixed, so they can fit in at university and, ultimately, the graduate work place. They must conceal their identity to successfully navigate the world of Higher Education and a graduate career. It is a narrative that says working-class students need to change – economically, socially, culturally – if they are to succeed: https://wonkhe.com/blogs/working-class-students-feel-alienated-from-their-creative-arts-degrees-heres-how-to-help/

    But, once again, the evaluation of the Ambition programme suggests that this is not how working-class students see things. While the students freely acknowledge the struggles they have had with belonging, with imposter syndrome, with the stigma that comes with a working-class accent, they also describe making connections across the classes: 

    When you’re from a working-class background, you don’t really talk to people of different backgrounds, but the programme has provided a different approach. So now I speak with people who’ve had an upper-class background. I’ve got a lot of international student friends and I’ve learned a lot from them. 

    How they have found belonging: 

    I feel like I belong at uni more than I thought I would because in the programme I immediately met people with a similar background to me…  

    How they got past feelings of stigma: 

    I did feel a bit hesitant, especially coming from Rotherham… literally everyone I met sounds like the Queen’s English, that everyone’s quite posh except me… but once you get to know everyone, you change your opinion and perception of it.  

    Success for working-class students, then, does not have to mean a transformation of identity, rejecting who you are and where you have come from. It’s not about conforming to an alien aspiration. Success is a reframing, on each individual student’s own terms, of their expectations for themselves and their future lives. It can mean a myriad of different things, but success doesn’t have to mean leaving your old self, your family, your community behind.  

    In times when there are significant questions about whether young people will be as wealthy, healthy and happy as their parents, when there are increasing debates about the value of a university education, isn’t it time for universities to expand their definition of success to what feels right and true, rather than to what extent students conform to somebody else’s expectations? 

    So, for the working-class students on our programmes, success might be about the contribution they make to their community or the next generation (the relative values of the pay of teachers and academics has been eroded significantly in recent years but few would argue that these are not a socially valuable and important roles). It might be about their happiness, fulfilment, job satisfaction and quality of life. It might be about finding new ways to live in the world around them. 

    As the old economic certainties are called into question, universities need to find new ways of measuring success beyond those that focus on earning potential and social status. They could start by making more use of questions from Graduate Outcomes Survey around well being and satisfaction. And, rather than being simply a snapshot in time, the Survey could look at the broader graduate journey.  

    For example, alumni can give a much richer picture of what success means in the long term. Case studies and narratives of life journeys help us understand how success means different things at different times. Where success for working-class students means returning to or staying in the communities where they were brought up, instead of being part of the flight to the big cities, then we might capture the economic impact on the prosperity of a local area. 

    In our programmes, we have seen how, with the right mixture of support, challenge and encouragement, working-class students come to define success on their own terms. It becomes an experience rooted in their own selves. After all, whose success is it anyway?

     

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  • Scooping Up Adulting and the Benefits of Being Curious – Teaching in Higher Ed

    Scooping Up Adulting and the Benefits of Being Curious – Teaching in Higher Ed

    My first year or two after graduating from college, I kept wanting there to be some instruction book that would teach you how to do all the lessons you somehow had missed in life thus far that it seemed like people should know. Today, young people would refer to this body of knowledge and skills as “adulting,” I think. I’m still wishing I had the magical powers that I witness only on the internet of those people who are able to meal plan effectively and sustainably (as in do it week in and week out). I’ll do it like once and then be so exhausted by the process that I won’t try again until like three years later.

    It still amuses me how this yet-to-be-discovered curriculum evades me. When you think you have something figured out, change emerges, and you’re right back in a liminal space. Jarche writes:

    The Cynefin framework can help us connect work and learning, especially for emergent and novel practices, for which we do not have good or best practices known in advance.

    Speaking of instructions: Will I ever live to see the day when I don’t need to look up the pronunciation of Cynefin each time I run across it, yet again? I’ve been in the field of learning my whole life, though started getting paid for it at the age of 14 and a half, when I first started working and was quickly asked to train other people how to scoop ice cream, decorate cakes, clean the store, and so on at the local Baskin Robbins. It wasn’t that complicated. Sweeping the floors looked the same day-to-day, Even when someone requested a new cake design, it was essentially tracing on plastic wrap and didn’t require new ways of thinking.

    Instead of step-by-step actions, many of the challenges I navigate today at work are complex. I was once selected to be the scholar in residence for the University of Michigan Dearborn specifically because I wasn’t an “expert” (nor did I claim to be one). The role was to explore artificial intelligence in higher education. The team who hired me said it was specifically my curiosity that was what made them think I would be an effective person to help them explore the various perspectives people hold without acting as if there was some easy way to step-by-step figure out exactly what needed to happen.

    Jarche writes:

    In a crisis it is important to act but even more important to learn as we take action.

    This “as we are going” learning is only possible with intentionality. It’s otherwise all to easy to succumb to the tyranny of the urgent and neglect the humility required to continuously learn from what is emerging. We are invited to think of an example of each of the following, which I will attempt to do:

    1. formal community – at my work, we have our Academic Leadership Council (ALC)
    2. informal community – a group of friends have a text chat, where we share each others joys and sorrows, as well as recommend podcasts, articles, tv shows, books, and so on with each other
    3. open knowledge network – I’m thinking about communities that arise from clever (intentional) hashtag use, such as ones related to the disability movement, or Black lives matter, etc.
    4. formal knowledge hub – so many universities have resources to share with faculty related to teaching + learning, like the University of Virginia Teaching Hub

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  • Game On: Competitive Gamification in Diverse ESL Classrooms – Faculty Focus

    Game On: Competitive Gamification in Diverse ESL Classrooms – Faculty Focus

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  • Engaging with Intentionality and Curiosity – Teaching in Higher Ed

    Engaging with Intentionality and Curiosity – Teaching in Higher Ed

    Thus begins week two of Harold Jarche’s Personal Knowledge Mastery workshop. This week’s schedule already feels overly crowded, when my brain may best begin to be described as “fuzzy”… Hardly an opportunity for much sense-making. Still, I noted something as I considered some of the ways that Jarche says are the practices that PKM is built upon. He gives the following examples:

    – narrating our work
    – adding value before sharing information
    – helping make our networks smarter and more resilient
    – network weaving and closing triangles
    – seeking diverse perspectives
    – sharing half-baked ideas

    I instantly thought of the tension between wanting to “add value before sharing information” and “sharing half-baked ideas”. I’ve almost always found incredible things happening in those times when I feel most vulnerable in sharing the unfinished work, while simultaneously wanting the exchange to be worth someone’s time/attention.

    My favorite LinkedIn thread of all time (as least as of October 13, 2025) started with me saying that I had needed to get these custom card decks printed before creating the game structure that they would be played on. As in I needed to create a game after having ordered the cards that the game would be made up of… It was then in my sense-making (and writing on LinkedIn) that I realized I wasn’t even sure that I knew what a game was. And then, the beauty of the waterfall of goodness that commenced was amazing.

    Harold suggested we look at who he follows on Mastodon, as we reflect on what our purpose and aims might be there. I noticed:

    1. More than a handful of computer programers. While not a programmer, myself, I do enjoy learning from geeky people.
    2. Primarily individuals and not as many organizations or group entities
    3. Many use what appear to be their “real” names
    4. A few have “request to follow” and I’m wondering what the etiquette is with that.
    5. Found a number of people I recognized from elsewhere, but hadn’t yet “found” on Mastodon
    6. Lots of varieties in profile picture approaches. Some regular photos; others more sketch-drawings; others not people at all)
    7. I try not to be about the numbers, but it depresses me to have gone from 8k on Twitter to 259 on Mastodon. Yes, I know it is quality, not quantity. Still… I won’t try to pretend it doesn’t bum me out a bit.
    8. Lots of personality comes out on these profiles… sense of humor… believe in something that matters to them… good trouble…
    9. Lots of environmental people/professions, which reminds me of a post Harold wrote about wanting differing opinions, but not “both-sides-isms”… I just looked to see if I could find this post in my bookmarks and have come up empty. It’s a bummer, too, because he wanted to hear from people who generally agreed with the 97% of the world’s scientists who agree that climate change is occurring and is an issue, but to hear from people who think differently about what to then do about it.
    10. Wait. Robin DeRosa is actively posting on Mastodon. My goodness, have I missed her on social media.

     

     

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  • Graduate jobs and recruitment reality

    Graduate jobs and recruitment reality

    Despite frequent headlines warning of large declines in graduate jobs, the Institute of Student Employers (ISE) Student Recruitment Survey 2025 shows a less severe and more nuanced reality of the entry-level recruitment market.

    Our survey captures recruitment trends from 155 ISE employer members who received over 1.8m job applications for over 31,000 early careers roles. For these employers, graduate hiring has fallen by eight per cent this year, marking the weakest year for graduate hiring since the 12 per cent decline during the pandemic in 2020.

    Although the ISE represents larger employers who recruit graduates onto formal training programmes, broader labour market data also shows reduced hiring which may impact students who take jobs that may not be part of a formal training programme. For example, data from the Recruitment and Employment Confederation shows a 13 per cent drop in all job adverts from July 2024 to July 2025.

    However, this trend varies from sector to sector and employer to employer. ISE’s survey found that while 42 per cent of employers reduced graduate hiring levels, 25 per cent of employers maintained hiring levels – and 33 per cent reported an increase.

    Looking ahead to 2025–26, we expect graduate recruitment to remain challenging as employers forecast an overall seven per cent reduction in graduate hiring, driven by sharp declines for a small number of large employers.

    Rebalancing early talent programmes

    Graduate programmes aren’t the only route into the UK’s top employers and investment in apprenticeships has been growing since the levy was introduced. ISE found employers are rebalancing early careers programmes with more focus on apprenticeships to meet skills demands.

    While graduate hiring declined this year, school and college leaver hiring increased by eight per cent. Graduates still outnumber apprentices and therefore the overall entry-level job market is down five per cent.

    This increase reflects the role of large levy-paying employers with greater resources to develop and manage apprenticeship schemes, bucking the wider market trend. Government data reports only a 0.6 per cent rise in apprenticeship starts among 19- to 24-year-olds over the past year.

    The ratio of graduates to school or college leaver hiring (which is mostly apprenticeships) among ISE members who recruit students onto both pathways is 1.8 graduates for every school/college leaver hire, down from 2.3 last year. This trend looks set to continue into 2025–26 with the ratio is forecast to decline further to 1.6:1.

    Despite this rebalancing, graduate hires still outnumber school and college leaver hires, and although the jobs market remains challenging, graduates remain a core element of early talent strategies.

    AI impact

    AI is undoubtedly reshaping the early careers recruitment sector. However, no one is telling us that AI is replacing entry level jobs (yet).

    As students increasingly use AI to craft job applications, they also submit a greater number of applications, driving up competition for each role. The application to vacancy ratio remains at a historic high of 140 applications per vacancy.

    The authenticity of applications from “AI-enabled candidates” has also emerged as a key employer concern. In fact, an arms race appears to be underway: only 15 per cent of employers said they never suspected or identified candidates cheating in assessments, and 79 per cent of employers are redesigning or reviewing their recruitment processes in response to AI developments.

    Currently around half of employers allow candidates to use AI tools during the recruitment process, primarily for drafting covering letters and CVs and completing online application questions. Only a small proportion of employers (10 per cent) have banned the use of AI or introduced technical measures to prevent its use.

    Our data also shows that 45 per cent of employers had not provided applicants with any guidance on when it was or was not appropriate to use AI. This guidance may support students in navigating their transition into a graduate role and help employers manage their application volumes.

    But while students are embracing AI in their job search, the use of AI by recruiters is currently limited, but likely to grow. While over half of employers use automated systems to fully manage some aspects of testing, AI use is very rare. Employers are most likely to use AI in gamified assessments, but even here the adoption rate is only 15 per cent. Looking ahead to the next five years, more than half of employers expect to use AI in their recruitment processes, and 70 per cent anticipate increasing their use of automation.

    Getting ahead

    The graduate job market is challenging, reflecting the broader economic climate – but it is not without opportunity.

    Students looking to get ahead should remain cautious about their prospects in their chosen career, but the graduate job market is always competitive. A job search should be treated just like a job. Applications should be authentic, considered and tailored, with a focus on quality not quantity. And work experience remains key, with employers reporting former interns better equipped with the skills that they need.

    For universities, these findings highlight the importance of preparing students for a more complex and competitive graduate market through close collaboration with employers.

    As employers rebalance early talent programmes and adapt to the rise of AI, institutions have a key role to play in equipping students with practical experience, adaptability, and digital literacy.

    Strengthening partnerships with employers, embedding employability across the curriculum, and helping students navigate responsible AI use will be critical to ensuring graduates continue to thrive in a shifting recruitment market.

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  • Preparing students for the world of work means embracing an AI-positive culture

    Preparing students for the world of work means embracing an AI-positive culture

    When ChatGPT was released in November 2022, it sent shockwaves through higher education.

    In response, universities moved at pace during the first half of 2023 to develop policy and good practice guidance for staff and students on appropriate use of GenAI for education purposes; the Russell Group’s Principles on the use of generative AI tools in education are particularly noteworthy. Developments since, however, have been fairly sluggish by comparison.

    The sector is still very much at an exploratory phase of development: funding pilots, individual staff using AI tools for formative learning and assessment, baseline studies of practice, student and staff support, understanding of tools’ functionality and utilisation etc. The result is a patchwork of practice not coherent strategy.

    Yet AI literacy is one of the fastest growing skills demanded by industry leaders. In a survey of 500 business leaders from organisations in the US and UK, over two-thirds respondents considered it essential for day-to-day work. Within AI literacy, demand for foundation skills such as understanding AI-related concepts, being able to prompt outputs and identify use cases surpassed demand for advanced skills such as developing AI systems.

    Students understand this too. In HEPI’s Student generative AI survey 2025 67 per cent of student respondents felt that it was essential to understand and use AI to be successful in the workplace whereas only 36 per cent felt they had received AI skill-specific support from their institution.

    There is a resulting gap between universities’ current support provision and the needs of industry/ business which presents a significant risk.

    Co-creation for AI literacy

    AI literacy for students includes defining AI literacy, designing courses aligned with identified learning outcomes, and assessment of those outcomes.

    The higher education sector has a good understanding of AI literacy at a cross disciplinary level articulated through several AI literacy frameworks. For example, UNESCO’s AI Competency Framework for Students or the Open University in the UK’s own framework. However, most universities have yet to articulate nuanced discipline-specific definitions of AI literacy beyond specialist AI-related subjects.

    Assessment and AI continues to be a critical challenge. Introducing AI tools in the classroom to enhance student learning and formatively assess students is fairly commonplace, however, summative assessment of students’ effective use of AI is much less so. Such “authentic assessments” are essential if we are serious about adequately preparing our students for the future world of work. Much of the negative discourse around AI in pedagogy has been around academic integrity and concerns that students’ critical thinking is being stifled. But there is a different way to think about generative AI.

    Co-creation between staff and students is a well-established principle for modern higher education pedagogy; there are benefits for both students and educators such as deeper engagement, shared sense of ownership and enhanced learning outcomes. Co-creation in the age of AI now involves three co-creators: students, educators and AI.

    Effective adoption and implementation of AI offers a range of benefits specific to students, specific to educators and a range of mutual benefits. For example, AI in conjunction with educators, offers the potential for significantly enhancing the personalisation of students’ experience on an on-demand basis regardless of the time of day. AI can also greatly assist with assessment processes such as marking turnaround times and enhanced consistency of feedback to students. AI also allows staff greater data-driven insights for example into students at risk of non-progression, areas where students performed well or struggled in assessments allowing targeted follow up support.

    There is a wealth of opportunity for innovation and scholarship as the potential of co-creation and quality enhancement involving staff, students and AI is in its infancy and technology continues to evolve at pace.

    Nurturing an AI-positive culture

    At Queen Mary University of London, we are funding various AI in education pilots, offering staff development programmes, student-led activities and through our new Centre for Excellence in AI Education, we are embedding AI meaningfully across disciplines. Successfully embedding AI within university policy and practice across the breadth of operations of the institution (education, research and professional practice), requires an AI-positive culture.

    Adoption of AI that aligns with the University’s values and strategy is key. It should be an enabler rather than some kind of add-on. Visible executive leadership for AI is critical, supported by effective use of existing champions within schools and faculties, professional services and the student body to harness expertise, provide support and build capacity. In some disciplines, our students may even be our leading institutional AI experts.

    Successful engagement and partnership working with industry, business and alumni is key to ensure our graduates continue to have the necessary skills, knowledge and AI literacy to achieve success in the developing workplace.

    There is no escaping the fact that embedding AI within all aspects of a university’s operations requires significant investment in terms of technology but also its people. In our experience, providing practical support through CPD, case studies, multimedia storytelling etc whilst ensuring space for debate are essential for a vibrant, evolving community of practice.

    A key challenge is trying to maintain oversight and co-ordinate activities in large complex institutions in a field that is evolving rapidly. Providing the necessary scaffolding in terms of strategy and policy, regulatory compliance and appropriate infrastructure whilst ensuring there is sufficient flexibility to allow agility and encourage innovation is another key factor for an AI-positive culture to thrive.

    AI is reshaping society and building an AI-positive culture is central to the future of higher education. Through strategic clarity and cultural readiness, universities need to effectively harness AI to enhance student learning, support staff, improve productivity and prepare students for a changing world.

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  • Sydney Uni denied more international students – Campus Review

    Sydney Uni denied more international students – Campus Review

    Australia is set to welcome 160,000 overseas students next year after the education minister revealed which universities will get the largest number of international enrolments.

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  • Senators ask Bishop about $800,000 expenses – Campus Review

    Senators ask Bishop about $800,000 expenses – Campus Review

    Senators have grilled embattled Australian National University (ANU) chancellor Julie Bishop on her spending habits after she racked up nearly $800,000 in expenses while slashing more than 1000 jobs since August of last year.

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  • Why is regulation on disabled students so weak?

    Why is regulation on disabled students so weak?

    When I read university strategies, there tend to be three themes – teaching, research, and that stuff that underpins it.

    If I’m glancing through students’ union strategies, there’s almost always a version of voice, activities/opportunities, and that stuff that underpins it.

    And so it is also the case that when we think about higher education regulation in England, everything from the TEF to the Regulatory Framework tends to have a triangle too – there’s experience, outcomes and that other stuff.

    The problem is that the case of disabled students presents a bit of a problem for the design of the regulation.

    Whatever the current design or theory of change being deployed, the basic question that OfS asks providers to ask is – are disabled students’ outcomes worse than everyone else’s?

    The underpinning theory is that if they are, that’s bound to be because their experience is worse. And if the experience was so poor as to be unlawful, that would definitely show up in outcomes.

    But what if, despite the experience being considerably (and often unlawfully) worse, the outcomes are broadly comparable – or even better? Where does that leave regulation that tends to start with outcomes and work backwards, rather than start with experience and then feed forwards?

    A new brief

    The Office for Students (OfS) has published new research that seems to show that disabled students are increasingly dissatisfied with their university experience even as their degree outcomes improve.

    The regulator has released two documents – a new insight brief examining equality of opportunity for disabled students, and commissioned research from Savanta exploring how 150 students experienced applying for reasonable adjustments.

    The publications come via work from the OfS Disability in Higher Education Advisory Panel, which was established in April 2024 to improve disabled students’ experiences and provide expert guidance.

    The latest data reveals an interesting pattern. For full-time undergraduates with reported disabilities, continuation rates are now 1.1 percentage points higher than for non-disabled peers – and attainment rates are 2.0 percentage points higher. That’s a significant shift from 2019 when disabled students lagged behind on both measures.

    It’s worth saying that, albeit on a smaller N, part-time undergraduates and degree apprentices tell a different story. Part-time disabled students have completion rates 13.0 percentage points lower than their non-disabled peers whilst degree apprentices show a 5.0 percentage point gap in attainment. These gaps suggest that not all disabled students are benefiting equally from institutional support.

    But back on full-time students, when it comes to experience, National Student Survey (NSS) results paint a very different picture. Disabled students consistently report lower satisfaction across all seven themes measured by the survey, and the gaps have grown over the past two years.

    The difference in satisfaction with organisation and management has widened from 6.5 percentage points in 2023 to 7.5 percentage points in 2025. Assessment and feedback satisfaction gaps have grown from 2.5 to 3.7 percentage points over the same period.

    Complaints to the Office of the Independent Adjudicator (OIA) tell a similar story. Disabled students now represent over 40 per cent of OIA complaints, up from around one-third in 2023. More significantly, a higher proportion of disabled students’ complaints are being upheld, suggesting some universities are failing to meet their legal obligations.

    Six years on

    The insight brief isn’t OfS’ first disabled students insight rodeo. 2019’s Insight brief asked whether universities were doing enough for disabled students. It contained a prescient observation:

    “Many disabled students are achieving despite the barriers which remain in their way, not because these barriers have been entirely removed.

    Over time, the disabled student population has grown substantially. In 2017, 13.2 per cent of students reported a disability. By 2023-24, this had risen to 19.9 per cent of full-time undergraduates and 24.6 per cent of part-time undergraduates. Mental health conditions have driven much of this increase, growing from 0.6 per cent of all students in 2010 to representing a significant proportion of disabled students today.

    2019 focused heavily on the social model of disability and questioned whether universities had truly embedded inclusive practices into their institutional structures. It noted that whilst many providers claimed to follow the social model, in practice they still treated disabled students as problems to be solved rather than addressing environmental barriers.

    2025’s brief takes a more pragmatic approach. Rather than debating models of disability, it provides a checklist of specific actions universities should take on experience that draws on the new evidence sources – including workshops with 105 university representatives and the Savanta research to understand both student experiences and institutional challenges.

    You could call it a statement of expectations, although OfS doesn’t quite go that far.

    The Savanta research found that 43 per cent of disabled students had applications for reasonable adjustments fully or partially rejected. Of those students whose needs were not fully met, 91 per cent took further action such as seeking advice or lodging complaints. This level of self-advocacy suggests that students are fighting for support rather than receiving it as a matter of course.

    The research also revealed significant differences between mature and younger students. Mature students were much more likely to take proactive steps when their support was inadequate, with 53 per cent following up or escalating concerns compared with 31 per cent of younger students. Success appears to depend partly on students’ ability to work the system rather than the system working for students.

    Implementation delays are another indicator that students are succeeding despite rather than because of support arrangements. Over half of students who received positive application outcomes waited five weeks or longer for support to be implemented. Students with three or more health conditions faced even longer waits, with 73 per cent waiting five weeks or more for exam adjustments compared with 45 per cent of students with fewer conditions.

    Workshops with university representatives showed that only 15.2 per cent of institutions have established processes for systematically evaluating whether reasonable adjustments are effective. That suggests most universities are not learning from experience or improving their support based on evidence of what works. Students are therefore navigating systems that are not designed to continuously improve.

    And the National Student Survey data on organisation and management is particularly telling. This theme, which includes questions about whether the course is well organised and running smoothly and whether the timetable works efficiently, shows the largest gap between disabled and non-disabled students at 7.5 percentage points. If disabled students are achieving good academic outcomes whilst rating organisational aspects poorly, they must be compensating for institutional failings through extra effort.

    Disabled Students UK’s 2024 research reinforces this picture. It found that only 38 per cent of disabled students who declared their disability reported having the support they need to access studies on equal terms with non-disabled peers. It also noted that most disabled students hold back from raising access issues with their university, suggesting they are managing barriers independently rather than relying on institutional support.

    And the OIA’s annual reports note that disabled students are overrepresented in complaints and that events occurring because a student is disabled are likely to have significant and lasting impacts. The 2024 report specifically highlighted complaints about implementation of support and reasonable adjustments to teaching and assessment. If support systems were working effectively, disabled students wouldn’t need to resort to formal complaints at such high rates.

    The brief reminds readers that the Equality of Opportunity Risk Register now explicitly identifies being disabled as a characteristic indicating risk to student success, and reminds that Access and Participation Plans must address gaps in disabled students’ outcomes with specific targets – and that OfS then monitors progress against these commitments.

    But there’s a problem. Providers would have to pick those risks, and pick disabled students.

    We (don’t) have a plan

    If we look across 99 now published Access and Participation Plans for universities, 27 providers have no disability targets whatsoever across any stage of the student lifecycle including widening access.

    Then if we isolate targets related to experience (ie we ignore access), thirty-five providers have set no targets for disabled students in the continuation, completion, attainment or progression stages. This means over one-third of institutions have no measurable goals for improving outcomes once disabled students arrive on campus.

    Most that do have a target don’t have them in all three of the experience measures. And even those that have targets often have them for a subset of disabled students where the disability type suggests a gap.

    If we assume that providers have been reasonable in not selecting disabled students and/or the risks in the EORR associated with disabled students, it’s a design problem. For a start, when an issue is spread thinly across providers and you have a provider-based regulatory system, you don’t get detailed plans in large parts of the long tail – and so the actions are absent.

    But that’s not the only problem. If we then turn to what providers say they do or are promising to do and look at the aspects of OfS’ checklist that directly relate to student experience, just 39 discuss a process for students to raise issues if support isn’t meeting needs or isn’t implemented properly, and none of the others (working with and listening to disabled students, communication about reasonable adjustments, sharing information about adjustments across the institution and ensuring teaching and assessments are accessible for disabled students while maintaining rigour) go above 60.

    Even then, we tend to see descriptions of existing activity and service provision rather than a new and properly resourced intervention. After all, who’s going to put in their plan that new for this cycle is that provider complying with the law?

    Imagine if the design worked the other way. OfS – as it did with Harassment and Sexual Misconduct (first with a Statement of Expectations, then through a formal Regulatory Condition) – sets out expectations. Then through polling (or ideally, an NSS extension, again a la H&SM) determines whether students are experiencing those expectations. Then it can take both system-wide and provider-level action.

    That – as is also the case with Harassment and Sexual Misconduct – might all lead to better outcomes, it might not. But those design flaws mean that for plans to be made and action to be monitored to secure students’ basic legal rights over their HE, there have to be a decent number of disabled students at their provider, and they have to be failing. If not, no promised action.

    Checklists and ticked boxes

    Overall, we’re left with a checklist – one that represents a pragmatic attempt to provide universities with clear guidance about what they should be doing to support disabled students. The questions about personalisation, implementation, communication, information-sharing, complaints processes, evaluation and accessible assessment all address real problems identified in the research.

    But that checklist’s weaknesses reflect a broader challenge in OfS regulation of experience. The questions are framed as prompts for institutional reflection rather than as requirements with clear standards. That approach may encourage tonal buy-in from universities, but it risks allowing institutions to tick boxes without making meaningful changes. And that’s if they even download the PDF.

    The checklist doesn’t specify what good looks like in any of the areas. It doesn’t set expectations about response times, explain what effective information-sharing systems should include, or define what routine evaluation means in practice. The lack of specificity makes it difficult for institutions to know whether they are meeting expectations, or for OfS to hold them accountable.

    Nor does the checklist address the resource constraints that universities identified as barriers to supporting disabled students effectively. The workshops noted that more students are reporting disabilities, that many have complex support needs and that institutions face staff shortages and stretched budgets.

    Unlike on H&SM – where OfS says “afford this detail or don’t provide HE” – the checklist acknowledges none of the challenges nor provides guidance about how universities should prioritise support when resources are limited.

    As usual on disability, no teeth are being bared here – a list of questions to muse on, rather than requirements to meet, and no consequences for those that fail.

    To be fair, the brief notes that students can make internal complaints, complain to the OIA or take their university to court. But as OfS CEO Susan Lapworth herself said about students in general – let alone disabled students – back in 2019:

    We should… consider whether a model that relies primarily on individual students challenging a provider for a breach of contract places a burden on students in an undesirable way.

    As I say, the checklist is a useful starting point for institutional self-reflection. But without clearer standards, stronger accountability mechanisms and recognition of the resource challenges universities face, it is unlikely to transform disabled students’ experiences, and is more likely to be just another PDF whose link I look up in a few years time in another article like this.

    And crucially, the evidence suggests that plenty of disabled students will continue to succeed despite, rather than because, laws that are supposed to achieve equality.

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