Tag: Data

  • Student suicides: why stable data still demand urgent reform 

    Student suicides: why stable data still demand urgent reform 

    Author:
    Emma Roberts

    Published:

    This HEPI guest blog was kindly authored by Emma Roberts, Head of Law at the University of Salford. 

    New figures from the Office for National Statistics (ONS) show that student suicide rates in England and Wales for the period 2016 to 2023 remain stable – but stability is no cause for complacency. The age-adjusted suicide rate among higher education students stands at 6.9 deaths per 100,000, compared with 10.2 per 100,000 for the general population of the same age group. Over the seven years of data collection, there were 1,163 student deaths by suicide – that is around 160 lives lost every year. 

    The rate being lower than the wider population is encouraging and may reflect the investment the sector has made in recent years. Universities have developed more visible wellbeing services, invested in staff training and created stronger cultures of awareness around mental health. The relative stability in the data can be seen as evidence that these interventions matter. But stability is not a resolution. Each student suicide is a preventable tragedy. The data should therefore be read not as reassurance, but as a call to sustain momentum and prepare for the challenges that lie ahead. 

    What the ONS data tells us 

    The figures highlight some familiar patterns. Male students remain at significantly higher risk than female students, accounting for nearly two-thirds of all suicides. Undergraduate students are at greater risk than postgraduate students, while students living at home have the lowest suicide rate. The data also shows that rates among White students are higher than for Black or Asian students, though the sample sizes are small, so these figures may be less reliable. 

    In terms of trend, the highest rate was recorded in the 2019 academic year (8.8 per 100,000). Since then, the rate has fallen back but remains stubbornly consistent, with 155 deaths recorded in the most recent year. The ONS notes that these figures are subject to revision due to coroner delays, meaning even the latest year may be under-reported. 

    The key point is that the problem is not worsening, but it is also not going away. 

    A changing student demographic 

    This year’s recruitment trends have introduced a new variable. Several high-tariff providers (universities with the highest entry requirements) have reduced entry requirements in order to secure numbers. This can open up opportunities for students who might otherwise not have had access to selective institutions. But it does raise important questions about preparedness. 

    Students admitted through lower tariffs may bring with them different kinds of needs and pressures: greater financial precarity, additional academic transition challenges, or less familiarity with the social and cultural capital that selective universities sometimes assume. These are all recognised risk factors for stress, isolation and, in some cases, mental ill-health. Universities with little prior experience of supporting this demographic may find their existing systems under strain. 

    Building on progress, not standing still 

    Much good work is already being done. Many universities have strengthened their partnerships with local National Health Service (NHS) trusts, introduced proactive wellbeing campaigns and embedded support more visibly in the student journey. We should recognise and celebrate this progress. 

    At the same time, the ONS data is a reminder that now is not the moment to stand still. Stability in the numbers reflects the effort made – but it should also prompt us to ask whether our systems are sufficiently flexible and resilient to meet new pressures. The answer, for some institutions, may well be yes. For others, particularly those adapting to new student demographics, there is a real risk of being caught unprepared. 

    What needs to happen next 

    There are several constructive steps the sector can take: 

    • Stress-test provision:  
      Assess whether wellbeing and safeguarding structures are designed to support the needs of the current, not historic, intake. 
    • Broaden staff capacity:  
      Ensure that all staff, not just specialists, have the awareness and training to spot early warning signs so that distress does not go unnoticed. 
    • Strengthen partnerships:  
      Align more closely with local NHS and community services to prevent students falling between two in-demand systems. 
    • Share practice sector-wide:  
      Collectively learn across the sector. Good practice must be disseminated, not siloed. 

    These are not dramatic or expensive interventions. They are achievable and pragmatic steps that can reduce risk while broader debates about legal and regulatory reform continue

    Conclusion 

    The ONS data shows that student suicide is not escalating. But the rate remains concerningly consistent at a level that represents an unacceptable loss of life each year. The progress universities have made should be acknowledged, but the danger of complacency is real. As recruitment patterns shift and new student demographics emerge, the sector must ensure that safeguarding and wellbeing systems are ready to adapt. 

    Every statistic represents a life lost. Stability must not become complacency – it should be a call to action, a chance to consolidate progress, anticipate new challenges and keep the prevention of every avoidable death at the heart of institutional priorities. 

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  • UNC Merges Information and Data Science Schools, Names New AI Vice Provost

    UNC Merges Information and Data Science Schools, Names New AI Vice Provost

    Manning Hall at University of North Carolina Chapel HillUNCThe University of North Carolina at Chapel Hill announced last week that it will merge the School of Information and Library Science and the School of Data Science and Society into a single, yet-to-be-named institution focused on applied technology, information science and artificial intelligence.

    The merger, announced in a joint letter from Chancellor Lee H. Roberts and Interim Executive Vice Chancellor and Provost James W. Dean Jr., represents what administrators called “a bold step forward” in positioning Carolina as a national leader in data and AI education.

    Dr. Stanley Ahalt, current dean of the School of Data Science and Society, will serve as inaugural dean of the new school. Dr. Jeffrey Bardzell, dean of the School of Information and Library Science, will continue leading SILS through the transition while also assuming a newly created secondary appointment as Chief Artificial Intelligence Officer and Vice Provost for AI.

    “Information technologies, especially generative AI, are having a transformational impact,” the letter stated. “This new school is a bold step forward in our commitment to preparing students for a world increasingly shaped by data, information and artificial intelligence.”

    The AI vice provost position, which will become full-time once the new school is operational, will coordinate the university’s response to artificial intelligence across all campus units.

    “Dean Bardzell has been a key voice informing our thinking about AI campuswide,” Roberts and Dean wrote. “We are grateful to have his experience in the classroom, administration and research guiding our efforts.”

    The announcement comes as universities nationwide grapple with integrating AI into curriculum and operations. UNC joins a growing number of institutions restructuring academic units to address what administrators describe as rapid technological change.

    While the decision to merge has been finalized, administrators said that implementation plans remain under development. The university will establish a task force, advisory committee and multiple working groups to determine operational details.

    “Faculty, staff and students will be engaged throughout,” the announcement stated. Both schools will maintain current academic programs during the transition, with administrators expressing hope the merger will support enrollment growth and expanded impact.

    SILS, established in 1931, has approximately 600 students across bachelor’s, master’s and doctoral programs, with strengths in information ethics, library science and human-centered information design.

    SDSS, founded in 2019, has grown to roughly 400 students and focuses on computational methods, statistical analysis and data science applications across disciplines.

    “Both SILS and SDSS bring distinct strengths and areas of excellence to Carolina — technical expertise, humanistic inquiry and a deep understanding of the societal implications of emerging technologies,” administrators wrote.

    The letter noted that the merger is “driven by long-term possibilities” rather than budget constraints, with a focus on growth and expanding both schools’ “powerhouse academic programs.”

    University officials did not provide a timeline for completing the merger or naming the new school. They also did not specify budget details or projected enrollment targets.

    The announcement marks the latest in a series of administrative restructuring efforts at UNC-Chapel Hill, which has seen several organizational changes in recent years as it responds to shifting academic priorities and funding models.

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  • K-12 districts are fighting ransomware, but IT teams pay the price

    K-12 districts are fighting ransomware, but IT teams pay the price

    Key points:

    The education sector is making measurable progress in defending against ransomware, with fewer ransom payments, dramatically reduced costs, and faster recovery rates, according to the fifth annual Sophos State of Ransomware in Education report from Sophos.

    Still, these gains are accompanied by mounting pressures on IT teams, who report widespread stress, burnout, and career disruptions following attacks–nearly 40 percent of the 441 IT and cybersecurity leaders surveyed reported dealing with anxiety.

    Over the past five years, ransomware has emerged as one of the most pressing threats to education–with attacks becoming a daily occurrence. Primary and secondary institutions are seen by cybercriminals as “soft targets”–often underfunded, understaffed, and holding highly sensitive data. The consequences are severe: disrupted learning, strained budgets, and growing fears over student and staff privacy. Without stronger defenses, schools risk not only losing vital resources but also the trust of the communities they serve.

    Indicators of success against ransomware

    The new study demonstrates that the education sector is getting better at reacting and responding to ransomware, forcing cybercriminals to evolve their approach. Trending data from the study reveals an increase in attacks where adversaries attempt to extort money without encrypting data. Unfortunately, paying the ransom remains part of the solution for about half of all victims. However, the payment values are dropping significantly, and for those who have experienced data encryption in ransomware attacks, 97 percent were able to recover data in some way. The study found several key indicators of success against ransomware in education:

    • Stopping more attacks: When it comes to blocking attacks before files can be encrypted, both K-12 and higher education institutions reported their highest success rate in four years (67 percent and 38 percent of attacks, respectively).
    • Following the money: In the last year, ransom demands fell 73 percent (an average drop of $2.83M), while average payments dropped from $6M to $800K in lower education and from $4M to $463K in higher education.
    • Plummeting cost of recovery: Outside of ransom payments, average recovery costs dropped 77 percent in higher education and 39 percent in K-12 education. Despite this success, K-12 education reported the highest recovery bill across all industries surveyed.

    Gaps still need to be addressed

    While the education sector has made progress in limiting the impact of ransomware, serious gaps remain. In the Sophos study, 64 percent of victims reported missing or ineffective protection solutions; 66 percent cited a lack of people (either expertise or capacity) to stop attacks; and 67 percent admitted to having security gaps. These risks highlight the critical need for schools to focus on prevention, as cybercriminals develop new techniques, including AI-powered attacks.

    Highlights from the study that shed light on the gaps that still need to be addressed include:

    • AI-powered threats: K-12 education institutions reported that 22 percent of ransomware attacks had origins in phishing. With AI enabling more convincing emails, voice scams, and even deepfakes, schools risk becoming test grounds for emerging tactics.
    • High-value data: Higher education institutions, custodians of AI research and large language model datasets, remain a prime target, with exploited vulnerabilities (35 percent) and security gaps the provider was not aware of (45 percent) as leading weaknesses that were exploited by adversaries.
    • Human toll: Every institution with encrypted data reported impacts on IT staff. Over one in four staff members took leave after an attack, nearly 40 percent reported heightened stress, and more than one-third felt guilt they could not prevent the breach.

    “Ransomware attacks in education don’t just disrupt classrooms, they disrupt communities of students, families, and educators,” said Alexandra Rose, director of CTU Threat Research at Sophos. “While it’s encouraging to see schools strengthening their ability to respond, the real priority must be preventing these attacks in the first place. That requires strong planning and close collaboration with trusted partners, especially as adversaries adopt new tactics, including AI-driven threats.”

    Holding on to the gains

    Based on its work protecting thousands of educational institutions, Sophos experts recommend several steps to maintain momentum and prepare for evolving threats:

    • Focus on prevention: The dramatic success of lower education in stopping ransomware attacks before encryption offers a blueprint for broader public sector organizations. Organizations need to couple their detection and response efforts with preventing attacks before they compromise the organization.
    • Secure funding: Explore new avenues such as the U.S. Federal Communications Commission’s E-Rate subsidies to strengthen networks and firewalls, and the UK’s National Cyber Security Centre initiatives, including its free cyber defense service for schools, to boost overall protection. These resources help schools both prevent and withstand attacks.
    • Unify strategies: Educational institutions should adopt coordinated approaches across sprawling IT estates to close visibility gaps and reduce risks before adversaries can exploit them.
    • Relieve staff burden: Ransomware takes a heavy toll on IT teams. Schools can reduce pressure and extend their capabilities by partnering with trusted providers for managed detection and response (MDR) and other around-the-clock expertise.
    • Strengthen response: Even with stronger prevention, schools must be prepared to respond when incidents occur. They can recover more quickly by building robust incident response plans, running simulations to prepare for real-world scenarios, and enhancing readiness with 24/7/365 services like MDR.

    Data for the State of Ransomware in Education 2025 report comes from a vendor-agnostic survey of 441 IT and cybersecurity leaders – 243 from K-12 education and 198 from higher education institutions hit by ransomware in the past year. The organizations surveyed ranged from 100-5,000 employees and across 17 countries. The survey was conducted between January and March 2025, and respondents were asked about their experience of ransomware over the previous 12 months.

    This press release originally appeared online.

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  • OfS Access and Participation data dashboards, 2025 release

    OfS Access and Participation data dashboards, 2025 release

    The sector level dashboards that cover student characteristics have a provider-level parallel – the access and participation dashboards do not have a regulatory role but are provided as evidence to support institutions develop access and participation plans.

    Though much A&P activity is pre-determined – the current system pretty much insists that universities work with schools locally and address stuff highlighted in the national Equality of Outcomes Risk Register (EORR). It’s a cheeky John Blake way of embedding a national agenda into what are meant to be provider level plans (that, technically, unlock the ability to charge fees up to the higher level) but it could also be argued that provider specific work (particularly on participation measures rather than access) has been underexamined.

    The A&P dashboards are a way to focus attention on what may end up being institutionally bound problems – the kinds of things that providers can fix, and quickly, rather than the socio-economic learning revolution end of things that requires a radicalised cadre of hardened activists to lead and inspire the proletariat, or something.

    We certainly don’t get any detailed mappings between numeric targets declared in individual plans and the data – although my colleague Jim did have a go at that a while ago. Instead this is just the raw information for you to examine, hopefully in an easier to use and speedier fashion than the official version (which requires a user guide, no less)

    Fun with indicators

    There are four dashboards here, covering most of what OfS presents in the mega-board. Most of what I’ve done examines four year aggregations rather than individual years (though there is a timeseries at provider level), I’ve just opted for the 95 per cent confidence interval to show the significance of indicator values, and there’s a few other minor pieces that I’ve not bothered with or set a sensible default on.

    I know that nobody reads this for data dashboard design tips, but for me a series of simpler dashboards are far more useful to the average reader than a single behemoth that can do anything – and the way HESA presents (in the main) very simple tables or plain charts to illustrate variations across the sector represents to me a gold standard for provider level data. OfS is a provider of official statistics, and as such is well aware that section V3.1 of the code of practice requires that:

    Statistics, data and explanatory material should be relevant and presented in a clear, unambiguous way that supports and promotes use by all types of users

    And I don’t think we are quite there yet with what we have, while the simple release of a series of flat tables might get us closer

    If you like it you should have put a confidence interval on it

    To start with, here is a tool for constructing ranked displays of providers against a single metric – here defined as a life cycle stage (access, continuation, completion, attainment, progression) expressed as a percentage of successful achievements for a given subgroup.

    Choose your split indicator type on the top right, and the actual indicator on the top right – select the life cycle stage on the box in the middle, and set mode and level (note certain splits and stages may only be available for certain modes and levels). You can highlight a provider of interest using the box on the bottom right, and also find an overall sector average by searching on “*”. The colours show provider group, and the arrows are upper and lower confidence bounds at the standard 95 per cent level.

    You’ll note that some of the indicators show intersections – with versions of multiple indicators shown together. This allows you to look at, say, white students from a more deprived background. The denominator in the tool tip is the number students in that population, not the number of students where data is available.

    [singles rank]

    I’ve also done a version allowing you to look at all single indicators at a provider level – which might help you to spot particular outliers that may need further analysis. Here, each mark is a split indicator (just the useful ones, I’ve omitted stuff like “POLAR quintiles 1,2,4, and 5” which is really only worth bothering with for gap analysis), you can select provider, mode, and level at the top and highlight a split group (eg “Age (broad)”) or split (eg “Mature aged 21 and over”).

    Note here that access refers to the proportion of all entrants from a given sub-group, so even though I’ve shown it on the same axis for the sake of space it shows a slightly different thing – the other lifecycle stages relate to a success (be that in continuation, progression or whatever) based on how OfS defines “success”.

    [singles provider]

    Oops upside your head

    As you’ve probably spotted from the first section, to really get things out of this data you need to compare splits with other relevant splits. We are talking, then, about gaps – on any of the lifecycle stages – between two groups of students. The classic example is the attainment gap between white and Black students, but you can have all kinds of gaps.

    This first one is across a single provider, and for the four lifecycle stages (this time, we don’t get access) you can select your indicator type and two indicators to get the gap between them (mode, and level, are at the bottom of the screen). When you set your two split, the largest or most common group tends to be on indicator 1 – that’s just the way the data is designed.

    [gaps provider]

    As a quick context you can look for “*” again on the provider name filter to get sector averages, but I’ve also built a sector ranking to help you put your performance in context with similar providers.

    This is like a cross between the single ranking and the provider-level gaps analysis – you just need to set the two splits in the same way.

    [gaps rank]

    Sign o’ the times

    The four year aggregates are handy for most applications, but as you being to drill in you are going to start wondering about individual years – are things getting gradually worse or gradually better? Here I’ve plotted all the individual year data we get – which is, of course, different for each lifecycle stage (because of when data becomes available). This is at a provider level (filter on the top right) and I’ve included confidence intervals at 95 per cent in a lighter colour.

    [gaps provider timeseries]

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  • Global demand for US master’s degrees plunges by 60%

    Global demand for US master’s degrees plunges by 60%

    The data, collected from January 6 to September 28, aligns closely with the start of Donald Trump’s second presidential term and the ensuing uncertainty around student visas and post-graduation work opportunities. It is based on the search behaviour of over 50 million prospective students on Studyportals.  

    “Prospective international students and their families weigh not only academic reputation but also regulatory stability and post-graduation prospects,” said Studyportals CEO Edwin van Rest: “Right now, those factors are working against institutions.”  

    Studyportals said the steep decline – dropping more than 60% in less than nine months – corresponds to proposed and enacted policy changes impacting student visa duration, Optional Practical Training (OPT) and H-1B work authorisation in the US. 

    Last week, the Trump administration shocked businesses and prospective employees by hiking the H-1B visa fee to $100,000 – over 20 times what employers previously paid. Days later, the government announced proposals to overhaul the visa system in favour of higher-paid workers.  

    Sector leaders have warned that OPT could be the administration’s next target, after a senior US senator called on the homeland security secretary Kristi Noem to stop issuing work authorisations such as OPT to international students.  

    Such a move would have a detrimental impact on student interest in the US, with a recent NAFSA survey suggesting that losing OPT reduces enrolment likelihood from 67% to 48%.  

    Meanwhile, roughly half of current students planning to stay in the US after graduation would abandon those plans if H-1B visas prioritised higher wage earners, the survey indicated.  

    “Prospective students are making go/no-go enrolment decisions, while current students are making stay/leave retention decisions,” said van Rest. 

    “Policy changes ripple through both ends of the pipeline, reducing new inflow and pushing out existing talent already contributing to US research, innovation and competitiveness,” he added.  

    Data: Studyportals

    The search data revealed a spike in interest at the beginning of July, primarily from Vietnam and Bangladesh, and to a lesser extent India and Pakistan. Experts have suggested the new Jardine-Fulbright Scholarship aimed at empowering future Vietnam leaders could have contributed to the rise.  

    Meanwhile, Iran, Nepal and India have seen the steepest drops in master’s demand, declining more than 60% this year to date compared to last.  

    While federal SEVIS data recorded a 0.8% rise in international student levels this semester, plummeting visa arrivals and anecdotal reports of fewer students on campus suggest the rise was in part due to OPT extensions – individuals who are counted in student totals but who are not enrolled on US campuses or paying tuition fees.  

    Beyond the immediate financial concerns of declining international enrolments for some schools, van Rest warned: “The policies we adopt today will echo for years in global talent flows.”

    The UK and Ireland have gained the most relative market share of international interest on Studyportals – both up 16% compared to the same period in 2024. Australia, Austria, Sweden and Spain all experienced a 12% increase on the previous year.  

    In the US, international students make up over half of all students enrolled in STEM fields and 70% of all full-time graduate enrolments in AI-related disciplines, according to Institute of International Education (IIE) data.  

    The policies we adopt today will echo for years in global talent flows

    Edwin van Rest, Studyportals

    What’s more, universities with higher rates of international enrolment have been found to produce more domestic STEM graduates, likely due to greater investment in these disciplines, National Foundation for American Policy (NFAP) research has shown.  

    Last year, graduate students made up 45% of the overall international student cohort (including OPT), compared to undergraduate which comprised roughly 30%, according to IIE Open Doors data.  

    Universities with higher proportions of overseas students have been found to produce more domestic STEM graduates, likely due to greater investment in these disciplines, National Foundation for American Policy (NFAP) research has shown. 

    The news of plummeting international demand comes as domestic enrolments are declining, with less high school graduates entering college education and an overall demographic shrinking of university-age students.  

    In a recent survey by the American Council on Education (ACE), nearly three quarters of college leaders said they were concerned about enrolment levels this semester, with 65% moderately or extremely worried about immigration restrictions and visa revocations.  

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  • Why critical data literacy belongs in every K–12 classroom

    Why critical data literacy belongs in every K–12 classroom

    Key points:

    An unexpected group of presenters–11th graders from Whitney M. Young Magnet High School in Chicago–made a splash at this year’s ACM Conference on Fairness, Accountability, and Transparency (FAccT). These students captivated seasoned researchers and professionals with their insights on how school environments shape students’ views of AI. “I wanted our project to serve as a window into the eyes of high school students,” said Autumn Moon, one of the student researchers.

    What enabled these students to contribute meaningfully to a conference dominated by PhDs and industry veterans was their critical data literacy–the ability to understand, question, and evaluate the ethics of complex systems like AI using data. They developed these skills through their school’s Data is Power program.

    Launched last year, Data is Power is a collaboration among K-12 educators, AI ethics researchers, and the Young Data Scientists League. The program includes four pilot modules that are aligned to K-12 standards and cover underexplored but essential topics in AI ethics, including labor and environmental impacts. The goal is to teach AI ethics by focusing on community-relevant topics chosen by our educators with input from students, all while fostering critical data literacy. For example, Autumn’s class in Chicago used AI ethics as a lens to help students distinguish between evidence-based research and AI propaganda. Students in Phoenix explored how conversational AI affects different neighborhoods in their city.

    Why does the Data is Power program focus on critical data literacy? In my former role leading a diverse AI team at Amazon, I saw that technical skills alone weren’t enough. We needed people who could navigate cultural nuance, question assumptions, and collaborate across disciplines. Some of the most technically proficient candidates struggled to apply their knowledge to real-world problems. In contrast, team members trained in critical data literacy–those who understood both the math and the societal context of the models–were better equipped to build responsible, practical tools. They also knew when not to build something.

    As AI becomes more embedded in our lives, and many students feel anxious about AI supplanting their job prospects, critical data literacy is a skill that is not just future-proof–it is future-necessary. Students (and all of us) need the ability to grapple with and think critically about AI and data in their lives and careers, no matter what they choose to pursue. As Milton Johnson, a physics and engineering teacher at Bioscience High School in Phoenix, told me: “AI is going to be one of those things where, as a society, we have a responsibility to make sure everyone has access in multiple ways.”

    Critical data literacy is as much about the humanities as it is about STEM. “AI is not just for computer scientists,” said Karren Boatner, who taught Autumn in her English literature class at Whitney M. Young Magnet High School. For Karren, who hadn’t considered herself a “math person” previously, one of the most surprising parts of the program was how much she and her students enjoyed a game-based module that used middle school math to explain how AI “learns.” Connecting math and literature to culturally relevant, real-world issues helps students see both subjects in a new light.

    As AI continues to reshape our world, schools must rethink how to teach about it. Critical data literacy helps students see the relevance of what they’re learning, empowering them to ask better questions and make more informed decisions. It also helps educators connect classroom content to students’ lived experiences.

    If education leaders want to prepare students for the future–not just as workers, but as informed citizens–they must invest in critical data literacy now. As Angela Nguyen, one of our undergraduate scholars from Stanford, said in her Data is Power talk: “Data is power–especially youth and data. All of us, whether qualitative or quantitative, can be great collectors of meaningful data that helps educate our own communities.”

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  • First-Year Survey Data Prompts New Partnerships, Coms Strategy

    First-Year Survey Data Prompts New Partnerships, Coms Strategy

    Participation in extracurricular activities and campus events is tied to student retention, but a significant number of students don’t get plugged in. A 2024 survey by Inside Higher Ed and Generation Lab found that 26 percent of respondents had never attended a campus event and 35 percent weren’t involved in activities outside the classroom.

    About three in 10 college students said they’d be more involved on campus if they were more aware of the available extracurricular opportunities. Staff at the University of Arizona recognized this awareness gap and, for the past decade, have surveyed incoming students to identify their interests and provide them with tailored resources.

    The New Student Information Form provides campus leaders with actionable data and information about the students joining the Wildcat community.

    Survey Says

    According to a 2024 survey of student success leaders by Inside Higher Ed and Hanover Research, 44 percent of respondents said their institution is highly effective at collecting data for student success and 40 percent said their college effectively uses student success data to inform decisions and initiatives. One-third of respondents said their institution has built a culture of data around student success.

    How it works: The University of Arizona first launched the NSIF in 2012 to understand student interests and their previous experiences with extracurricular activities in high school, said Jenny Nirh, director of collaboration, communications and outreach of student success at Arizona. In 2021, the form was revamped by the student success office with a focus on anticipated student resource needs and other personal information that could be relevant to academic success, such as caregiver status.

    In a typical year, between 85 and 90 percent of incoming first-year and transfer students complete the form, representing as many as 8,000 students, said senior analyst Laura Andrews, who is responsible for NSIF. In 2024, 6,500 first-year students responded to the NSIF, an 88 percent response rate.

    When asked where they wanted to get plugged in during their first year, two-thirds of respondents indicated they were interested in internships, while 58 percent selected student employment and the same share chose academic clubs.

    Over the past five years, staff have seen students report the same anticipated needs. In 2024, the greatest share of students said they expect to need at least some help accessing and managing financial aid (63 percent) and academic supports (56 percent).

    In addition to focusing on their interests, the survey asked students about their perceptions of college and the campus community. While a majority of respondents expressed excitement about being a student at Arizona, one in five indicated they were unsure about their ability to fit in and a similar number said they were uncertain whether their peers would assist them if they needed help.

    A question about caretaking responsibilities was added in 2023 to identify those students and connect them with childcare or caregiving resources available on campus, Nirh said.

    Data in action: Using NSIF data, staff have been able to respond to individuals’ needs and create strategic initiatives within various departments and offices that ensure no student is left behind. Now, the student success department tailors communications to students based on responses and promotes relevant support services.

    Each college at the university is given a breakdown of survey results for their incoming students, including their interests and expectations. The report is often distributed to department heads and faculty or used for student outreach purposes.

    Using data, staff found that Pell Grant recipients were more likely than the general campus population to say they wanted help navigating financial aid (19 percentage points higher) and student employment (12 percentage points higher). In addition, first-generation students were 10 percentage points more likely than the average student to say they needed support asking for help. The Thrive Center within the student success division uses this data in their first-generation support initiative, First Cats, and in their efforts to boost financial wellness.

    The Housing and Residence Life Division conducts an end-of-year survey of residents about their support needs and whether students sought help; staff received similar responses to those articulated by incoming students in the NSIF months earlier. However, students said they were less likely to seek help for their personal development—including mental health, time management and socialization—than for navigating campus life.

    If your student success program has a unique feature or twist, we’d like to know about it. Click here to submit.

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  • What OfS’ data on harassment and sexual misconduct doesn’t tell us

    What OfS’ data on harassment and sexual misconduct doesn’t tell us

    New England-wide data from the Office for Students (OfS) confirms what we have known for a long time.

    A concerningly high number of students – particularly LGBTQ+ and disabled people, as well as women – are subjected to sexual violence and harassment while studying in higher education. Wonkhe’s Jim Dickinson reviews the findings elsewhere on the site.

    The data is limited to final year undergraduates who filled out the National Student Survey, who were then given the option to fill out this further module. OfS’ report on the data details the proportion of final year students who experienced sexual harassment or violence “since being a student” as well as their experiences within the last 12 months.

    It also includes data on experiences of reporting, as well as prevalence of staff-student intimate relationships – but its omission of all postgraduate students, as well as all undergraduates other than final year students means that its findings should be seen as one piece of a wider puzzle.

    Here, I try to lay out a few of the other pieces of the puzzle to help put the new data in context.

    The timing is important

    On 1st August 2025 the new condition of registration for higher education providers in England came into force, which involves regulatory requirements for all institutions in England to address harassment and sexual misconduct, including training for all staff and students, taking steps to “prevent abuses of power” between staff and students, and requiring institutions to publish a “single, comprehensive source of information” about their approach to this work, including support services and handling of reports.

    When announcing this regulatory approach last year, OfS also published two studies published in 2024 – a pilot prevalence survey of a small selection of English HEIs, as well as a ‘poll’ of a representative sample of 3000 students. I have discussed that data as well as the regulation more generally elsewhere.

    In this year’s data release, 51,920 students responded to the survey with an overall response rate of 12.1 per cent. This is significantly larger sample size than both of the 2024 studies, which comprised responses from 3000 and 5000 students respectively.

    This year’s survey finds somewhat lower prevalence figures for sexual harassment and “unwanted sexual contact” than last year’s studies. In the new survey, sexual harassment was experienced by 13.3 per cent of respondents within the last 12 months (and by 24.5 per cent since becoming a student), while 5.4 per cent of respondents had been subjected to unwanted sexual contact or sexual violence within the last 12 months (since becoming a student, this figure rises to 14.1 per cent).

    By any measure, these figures represent a very concerning level of gender-based violence in higher education populations. But if anything, they are at the lower end of what we would expect.

    By comparison, in OfS’ 2024 representative poll of 3000 students, over a third (36 per cent) of respondents had experienced some form of unwanted sexual contact since becoming a student with a fifth (21 per cent) stating the incident(s) happened within the past year. 61 per cent had experienced sexual harassment since being a student, and 43 per cent of the total sample had experienced this in the past year.

    The lower prevalence in the latest dataset could be (in part) because it draws on a population of final year undergraduate students – studies from the US have repeatedly found that first year undergraduate students are at the greatest risk, especially when they start their studies.

    Final year students may simply have forgotten – or blocked out – some of their experiences from first year, leading to lower prevalence. They may also have dropped out. The timing of the new survey is also important – the NSS is completed in late spring, while we would expect more sexual harassment and violence to occur when students arrive at university in the autumn.

    A study carried out in autumn or winter might find higher prevalence. Indeed, the previous two studies carried out by OfS involved data collected at different times to year – in August 2023 (for the 3000-strong poll) and ‘autumn 2023’ (for the pilot prevalence study).

    A wide range of prevalence

    Systematic reviews published in 2023 from Steele et al and Lagdon et al from across the UK, Ireland and the US have found prevalence rates of sexual violence between 7 per cent to 86 per cent.

    Steele et al.’s recent study of Oxford University found that 20.5 per cent of respondents had experienced at least one act of attempted or forced sexual touching or rape, and 52.7 per cent of respondents experienced at least one act of sexual harassment within the past year.

    Lagdon et al.’s study of “unwanted sexual experiences” in Northern Ireland found that a staggering 63 per cent had been targeted. And my own study of a UK HEI found that 30 per cent of respondents had been subjected to sexual violence since enrolling in their university, and 55 per cent had been subjected to sexual harassment.

    For now, I don’t think it’s helpful to get hung up on comparing datasets between last year and this year that draw on somewhat different populations. It’s also not necessarily important that respondents were self-selecting within those who filled out the NSS – a US study compared prevalence rates for sexual contact without consent among students between a self-selecting sample and a non-self-selecting sample, finding no difference.

    The key take-home message is that students are being subject to a significant level of sexual harassment and violence, and particularly women, LGBTQ+ and disabled students are unable to access higher education in safety.

    Reporting experiences

    The findings on reporting reveals some important challenges for the higher education sector. According to the OfS new survey findings, rates of reporting to higher education institutions remain relatively low at 13.2 per cent of those experiencing sexual harassment, and 12.7 per cent of those subjected to sexual violence.

    Of students who reported to their HEI, only around half of rated their experience as “good”. But for women as well as for disabled and LGBTQ+ students there were much lower rates of satisfaction with reporting than men, heterosexuals and non-disabled students who reported incidents to their university.

    This survey doesn’t reveal why students were rating their reporting experiences as poor, but my study Higher Education After #MeToo sheds light on some of the reasons why reporting is not working out for many students (and staff).

    At the time of data collection in 2020-21, a key reason was that – according to staff handling complaints – policies in this area were not yet fit for purpose. It’s therefore not surprising that reporting was seen as ineffective and sometimes harmful for many interviewees who had reported. Four years on, hopefully HEIs have made progress in devising and implementing policies in this area, so other reasons may be relevant.

    A further issue focused on by my study is that reporting processes for sexual misconduct in HE focus on sanctions against the reported party rather than prioritising safety or other needs of those who report. Many HEIs do now have processes for putting in place safety (“precautionary” or “interim”) measures to keep students safe after reporting.

    Risk assessment practices are developing. But these practices appear to be patchy and students (and staff) who report sexual harassment or violence are still not necessarily getting the support they need to ensure their safety from further harm. Not only this, but at the end of a process they are not usually told the actions that their university has taken as a result of the report.

    More generally, there’s a mismatch between why people report, and what is on offer from universities. Forthcoming analysis of the Power in the Academy data on staff-student sexual misconduct reveals that by the time a student gets to the point of reporting or disclosing sexual misconduct from faculty/staff to their HEI, the impacts are already being felt more severely than those who do not report.

    In laywoman’s terms, if people report staff sexual misconduct, it’s likely to be having a really bad impact on their lives and/or studies. Reasons for reporting are usually to protect oneself and others and to be able to continue in work/study. So it’s crucial that when HEIs receive reports, they are able to take immediate steps to support students’ safety. If HEIs are listening to students – including the voices of those who have reported or disclosed to their institution – then this is what they’ll be hearing.

    Staff-student relationships

    The survey also provides new data on staff-student intimate relationships. The survey details that:

    By intimate relationship we mean any relationship that includes: physical intimacy, including one-off or repeated sexual activity; romantic or emotional intimacy; and/or financial dependency. This includes both in person and online, or via digital devices.

    From this sample, 1.5 per cent of respondents stated that they had been in such a relationship with a staff member. Of those who had been involved in a relationship, a staggering 68.8 per cent of respondents said that the university or college staff member(s) had been involved with their education or assessment.

    Even as someone who researches within this area, I’m surprised by how high both these figures are. While not all students who enter into such relationships or connections will be harmed, for some, deep harms can be caused. While a much higher proportion of students who reported “intimate relationships” with staff members were 21 or over, age of the student is no barrier to such harms.

    It’s worth revisiting some of the findings from 2024 to give some context to these points. In the 3000-strong representative survey from the OfS, a third of those in relationships with staff said they felt pressure to begin, continue or take the relationship further than they wanted because they were worried that refusing would negatively impact them, their studies or career in some way.

    Even consensual relationships led to problems when the relationship broke up. My research has described the ways in which students can be targeted for “grooming” and “boundary-blurring” behaviours from staff. These questions on coercion from the 2024 survey were omitted from the shorter 2025 version – but assuming such patterns of coercion are present in the current dataset, these findings are extremely concerning.

    They give strong support to OfS’ approach towards staff-student relationships in the new condition of registration. OfS has required HEIs to take “one or more steps which could make a significant and credible difference in protecting students from any actual or potential conflict of interest and/or abuse of power.”

    Such a step could include a ban on intimate personal relationships between relevant staff and students but HEIs may instead chose to propose other ways to protect students from abuses of power from staff. While most HEIs appear to be implementing partial bans on such relationships, some have chosen not to.

    Nevertheless, all HEIs should take steps to clarify appropriate professional boundaries between staff and students – which, as my research shows, students themselves overwhelmingly want.

    Gaps in the data

    The publication of this data is very welcome in contributing towards better understanding patterns of victimisation among students in HE. It’s crucial to position this dataset within the context of an emerging body of research in this area – both the OfS’ previous publications, but also academic studies as outlined above – in order to build up a more nuanced understanding of students’ experiences.

    Some of the gaps in the data can be filled from other studies, but others cannot. For example, while the new OfS regulatory condition E6 covers harassment on the basis of all protected characteristics, these survey findings focus only on sexual harassment and violence.

    National data on the prevalence of racial harassment or on harassment on the basis of gender reassignment would be particularly valuable in the current climate. This decision seems to be a political choice – sexual harassment and violence is a focus that both right- and left-wing voices can agree should be addressed as a matter of urgency, while it is more politically challenging (and therefore, important) to talk about racial harassment.

    The data also omits stalking and domestic abuse, which young people – including students – are more likely than other age groups to be subjected to, according to the Crime Survey of England and Wales. My own research found that 26 per cent of respondents in a study of gender-based violence at a university in England in 2020 had been subjected to psychological or physical violence from a partner.

    It does appear that despite the narrow focus on sexual harassment and violence from the OfS, many HEIs are taking a broader approach in their work, addressing domestic abuse and stalking, as well as technology-facilitated sexual abuse.

    Another gap in the data analysis report from the OfS is around international students. Last year’s pilot study of this survey included some important findings on their experiences. International students were less likely to have experienced sexual misconduct in general than UK-domiciled students, but more likely to have been involved in an intimate relationship with a member of staff at their university (2 per cent of international students in contrast with 1 per cent of UK students).

    They were also slightly more likely to state that a staff member had attempted to pressured them into a relationship. Their experiences of accessing support from their university were also poorer. These findings are important in relation to any new policies HEIs may be introducing on staff-student relationships: as international students appear to be more likely to be targeted, then communications around such policies need to be tailored to this group.

    We also know that the same groups who are more likely to be subjected to sexual violence/harassment are also more likely to experience more harassment/violence, i.e. a higher number of incidents. The new data from OfS do not report on how many incidents were experienced. Sexual harassment can be harmful as a one-off experience, but if someone is experiencing repeated harassment or unwanted sexual contact from one or more others in their university environment (and both staff and student perpetrators are likely to be carry out repeated behaviours), then this can have a very heavy impact on those targeted.

    The global context

    Too often, policy and debate in England on gender-based violence in higher education fails to learn from the global context. Government-led initiatives in Ireland and Australia show good practice that England could learn from.

    Ireland ran a national researcher-led survey of staff as well as students in 2021, due to be repeated in 2026, producing detailed data that is being used to inform national and cross-institutional interventions. Australia has carried out two national surveys – in 2017 and 2021 – and informed by the results has just passed legislation for a mandatory National Higher Education Code to Prevent and Respond to Gender-based Violence.

    The data published by OfS is much more limited than these studies from other contexts in its focus on third year undergraduate students only. It will be imperative to make sure that HEIs, OfS, government or other actors do not rely solely on this data – and future iterations of the survey – as a tool to direct policy, interventions or practice.

    Nevertheless, in the absence of more comprehensive studies, it adds another piece to the puzzle in understanding sexual harassment and violence in English HE.

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  • Fun with Tuition Data | HESA

    Fun with Tuition Data | HESA

    I want to show you something kind of intriguing about how tuition is changing in Canada.

    By now you might be familiar with a chart that looks like Figure 1, which shows average tuition, exclusive of ancillary fees (which would tack another $900-1000 on to the total), in constant $2024. The story it shows is one of persistent real increases from up until 2017-18, at which point, mainly thanks to policy changes in Ontario, tuition falls sharply and continues to fall as tuition increases across the country failed to keep up with inflation in the COVID years. Result: average tuition today, in real terms, is about where it was in 2012-13.  

    Figure 1: Average Undergraduate Tuition Fee, Canada, in $2024, 2006-07 to 2024-25

    Simple story, right? Boring, even.  

    But then, just for fun, I decided to look at tuition at the level of individual fields of study. And what I found was kind of interesting. Take a look at Figure 2, which shows average tuition in what you might call the university’s three “core” areas: social science, humanities, and physical/life sciences. It’s quite a different story. The pre-2018 rise was never as pronounced as it was for tuition overall, and the drop in tuition post-2018 was more pronounced. As a result, tuition in the humanities is about even with where it was in 2006 and in the sciences is now three percent lower than it was in 2006.

    Figure 2: Average Undergraduate Tuition Fee by Field of Study, Canada, in $2024, 2006-07 to 2024-25

    This got me thinking: how is it possible that the overall average tuition is rising so quickly when so many big disciplines are showing so little change? So I looked at the change in each discipline from 2006-07 to 2024-25. Figures 3 and 4 show the 18-year change in tuition for direct- and second-entry programs (and yes, this is an admittedly English Canadian distinction, since the programs in Figure 4 are also at least partially direct entry in Quebec).

    Figure 3: Change in Real Tuition Levels, direct-entry undergraduate programs, Canada, 2006-07 to 2024-25

    Figure 4: Change in Real Tuition Levels, second-entry undergraduate programs, Canada, 2006-07 to 2024-25

    Two very different pictures, right? Quite clearly, second-entry degrees – which are a tiny fraction of overall enrolments – are nevertheless dragging the overall average up quite a bit. Unfortunately, it’s not easy to work out exactly how much because – inexplicably – Statscan does not use the same field of study boundaries for enrolment and tuition. But, near as I can figure out, there are about 15,000 students in law in Canada, 5,000 in pharmacy, 3,000 in dentistry and 2,000 in veterinary science. So that’s 25,000 students (or 2% of the undergraduate total) in fields with very high tuition increases, and a little back-of-the-envelope math suggests that these increases for just 2% of the student body were responsible for about 15% of all tuition growth.  

    Now, there is one other thing you have to look at and that is what is going on in engineering. This field has the fastest-growing real tuition over the period (26%) but is also the fastest-growing field in terms of domestic student enrolments (up 56% over the same period, compared to 16% for universities as a whole). So, compared with a world where engineering enrolments stayed steady between 2006-07 and 2024-25, an extra 22,000 people voluntarily enrolled in a field of study which was both more expensive (compared to science, average engineering tuition is about $2500 higher) and increasingly so every year. Again, a little back-of-the-envelope math shows that this phenomenon was responsible for between 10 and 11% of the growth in overall average tuition.  

    So, let’s add all that up: about a quarter of all the real growth in tuition over the past 20 years (which, as we noted at the outset wasn’t all that much to begin with) was due to tuition growth in the country’s most expensive programs. These are programs which are either growing rapidly or have long waiting lists, so I think the argument that these tuition increases have deterred enrolment is a bit far-fetched. And it means that the vast majority of students are seeing tuition fees which are well below the “average”. In fact, by my calculations, the actual increase in real dollars for that portion of the student body in first-degree programs – bar engineering – is somewhere around $625 in eighteen years.

    Affordability crisis? Not really.

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  • Why Data Is Higher Education’s Most Overlooked Competitive Advantage

    Why Data Is Higher Education’s Most Overlooked Competitive Advantage

    Every conversation I have with higher ed leaders seems to start in the same place: competition is tougher than ever. Enrollment pressures, shifting demographics, rising expectations from students — it’s a lot. And in the middle of it all, I see so many institutions sitting on a resource that could help them compete more effectively: their own data.

    The truth is, higher ed doesn’t have a data shortage. Colleges and universities already collect enormous amounts of information across their systems. The challenge is knowing how to put it to work in ways that actually move the needle. Too often, that data stays trapped in silos, reduced to static reports, or only pulled out for compliance.

    The difference isn’t the data itself — it’s how you use it.

    Students expect personalization

    Think about how personalized the world around us has become. From the playlists that show up in your music app to the recommendations in your shopping cart, people expect experiences that feel unique and relevant. Students are no different.

    A high schooler exploring a summer program and a mid-career professional considering a certificate have very different motivations. Yet both expect a journey that recognizes their goals and helps them take the next right step.

    That’s where higher ed data becomes a real advantage. When institutions use it strategically, they can anticipate student needs, personalize outreach, and build relationships that feel relevant, timely, and supportive rather than transactional.

    How scattered data becomes a living, actionable picture

    Here’s the challenge: most colleges are juggling a patchwork of CRMs, SIS, LMS, and marketing platforms that don’t really talk to each other. Each contains valuable data, but without a way to connect them, the view of the student is incomplete.

    This is where the concept of a digital twin comes in. Imagine having a single, dynamic model that reflects each student’s real journey — from first click to graduation. A digital twin takes fragmented data from across systems and turns it into a living, actionable picture.

    During a recent conversation with a prospective partner, our team walked through this idea in action. We demonstrated how a digital twin could anticipate critical student moments, unify siloed systems, and make engagement more intentional. The “aha” moment came when leaders realized it wasn’t about another dashboard, but about creating a foundation that turns information into action.

    With that kind of visibility, institutions can do things like:

    • Spot at-risk students before they disengage.
    • Give advisors and faculty the insights to offer timely support.
    • See what’s really driving enrollment outcomes.
    • Run “what if” scenarios to guide strategy and resources.

    That kind of transformation doesn’t just look good on paper — it delivers measurable outcomes.

    Real results from using data differently

    I’ve seen what happens when institutions make this shift.

    I recall one university partner that had been struggling with years of declining graduate enrollment. By unifying their data and creating a clear view across the funnel, they grew spring enrollment by 20% in a single term while re-engaging 120 stop-out students.

    Another school was questioning the ROI of their marketing spend. Once they integrated campaign data with enrollment outcomes and student sentiment, they were able to adjust quickly. The result? A 30% increase in online applications and a 46% reduction in cost-per-deposit.

    These stories aren’t about magic formulas. They’re about what’s possible when institutions stop letting data sit unused and instead create a digital twin that brings the student journey to life.

    Rethinking the role of data

    Too often, data is seen and treated as a back-office function.  That approach is a liability. I believe higher ed data must be treated as a core part of strategy, student engagement, and institutional health.

    If you’re wondering where to start, ask yourself:

    • Do we have a clear view of the entire student journey, or are we piecing it together manually?
    • Are our engagement efforts personalized, or are they one-size-fits-all?
    • Can we make real-time decisions, or are we relying on outdated reports?
    • Do our teams have the insights they need to act at the right moment?

    If the answer to any of these is “No,” it’s time to rethink your approach to data.

    Looking ahead

    I’ve spent more than a decade working alongside higher ed leaders, and one thing I know is this: data alone isn’t the advantage. What matters is how you use it to serve students and strengthen your institution.

    The colleges and universities that will lead the next era of higher education won’t be the ones with the biggest datasets. They’ll be the ones that create a connected, holistic view of each student — able to anticipate needs, personalize engagement, and act with precision. They’ll be the ones treating data as the engine of innovation, not just a byproduct of operations.

    Are you ready to take advantage of your data?

    Innovation Starts Here

    Higher ed is evolving — don’t get left behind. Explore how Collegis can help your institution thrive.

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