Category: innovation

  • Only innovation can return higher education to growth

    Only innovation can return higher education to growth

    The economic impact of UK higher education is a source of great pride, but universities are under financial duress. There are many reasons for this, but one reason stands out above the others. It demands energetic innovation to avoid long-term decline.

    Not that long-ago optimism about the future of higher education was at its height. Sustained growth in participation (even in the face of the hike in undergraduate fees to £9000) saw unparalleled growth in home student enrolments, widening of access to the less advantaged, booming international enrolments, with UCAS talking about the Journey to a Million. The mood in the sector was upbeat and optimistic.

    Even then, there were worrying indicators that all was not well. The decline in student numbers in the US since 2012 carried a huge warning, and we could see shifting employer attitudes to degrees. There were clear signs that the optimism and hubris was overdone.

    Jim Collins, author of Good to Great described a conversation with James Stockdale, a US Navy pilot shot down and taken prisoner in the Vietnam war. When Collins asked which prisoners didn’t make it out of Vietnam, Stockdale replied:

    Oh, that’s easy, the optimists. Oh, they were the ones who said, ‘We’re going to be out by Christmas.’ And Christmas would come, and Christmas would go. Then they’d say, ‘We’re going to be out by Easter.’ And Easter would come, and Easter would go. And then Thanksgiving, and then it would be Christmas again. And they died of a broken heart.

    Collins called this the Stockdale Paradox, and it offers a very important lesson. You must never confuse faith that you will prevail in the end – which you can never afford to lose – with the discipline to confront the most brutal facts of your current reality, whatever they might be.

    A few years on, things have changed. Half of universities are already in deficit and much has been written about the challenges of rising costs, falling real income, growing immigration controls, weakening political support, growing competition, and growing regulation. To make matters even worse, demographic forecasts show a steady decline in the number of 18-year-olds from the end of this decade. Unbridled optimism has been followed by cost-cutting with momentum building behind mergers and consolidation.

    The elephant in the room

    All this begs the question of whether this is a transient coincidence of unfortunate events or a much deeper problem. Some university leaders argue the problem is not with the perceived value of higher education, but with a media conspiracy and lack of government support. While that view has some merit it misses the elephant in the room.

    Over the last 30 years the increasing popularity of going to university has driven sustained growth in the proportion of 18 year olds making this choice. However, growth in participation at age 18 has stalled and started to decline just as we saw in the US in the last decade. It is hard to overstate the singular importance of growing evidence that demand for higher education is starting to reduce. We must respond energetically or accept its inevitability.

    Why is higher education becoming less popular than it was? Students in England have the highest debt in the English speaking world, despite most students now working their way through university. The graduate earnings premium has declined and a significant minority of students would be better off financially if they had not gone to university.

    More people now think more carefully about the economic return on their investment in higher education. These concerns about cost versus return must now unleash a much bigger conversation about how to make higher knowledge and skills more accessible and rewarding, not only at age 18 but over people’s lives.

    Lifelong learning is the future

    The global skills gap is structural and growing. People without a degree (most of us) will now need access to higher skills throughout their lives. Graduates too must acquire the higher skills needed to meet the changing needs of the economy. Higher education can provide the solutions. These needs can only be met through innovation in delivery, content, and partnership. Investment in innovation may be counter-intuitive at a time of retrenchment, but cost-cutting does not fix the underlying problem.

    We must find different models of delivery to support the changing needs of learners and reach more people with an ever-sharper focus on employer need. The evidence for demand is all around us. Millions of people (mainly adults) globally now enrol on online degree courses and tens of millions on Massive Open Online Courses (MOOCs). There is a growing consensus that meeting learners where they are through lifelong learning is the future direction of higher education.

    More universities are putting their toe in the water and setting up innovative hubs and institutes. But few embrace this idea at an enterprise level, built explicitly into strategy. Doing so requires strong leadership but also great care.

    Care to avoid the false dichotomies between knowledge and skills, teaching and research, utilitarian models of employability versus education for intrinsic good, radical change versus evolutionary adaptation. We must fiercely control quality to avoid the pitfalls we see today, particularly in franchised provision. We must build on our strengths. We need to be commercially astute as well as educationally aware.

    The US experience

    The impressive wave of innovation and growth in several universities in the United States shows what is possible. American universities expanded access to higher education well before the UK did so there are important lessons to be learned from their experience. I’m fortunate to have worked with some of them.

    Innovation in education is relatively easy. Taking it to scale is very hard but several American universities have achieved that.

    While each of the examples below is different, they have things in common

    1. They are bold, imaginative, and embrace innovation across the entire institution
    2. They embrace technology to widen lifelong learner access
    3. They are not afraid to invest in building their brand and widening their reach
    4. They stand for something distinctive that is different to elitism
    5. They put students first

    Arizona State University under the leadership of Michael Crow measures itself not through whom they exclude but whom they include and how they succeed. They have significantly increased the size of the university by investing in new faculty, innovative curricula, and immersive learning technologies.

    Online delivery is a key element in their strategy, and they reach all ages from K-12 (having established an online school) to retirement. ASU uses partnerships to great effect and has been ranked the number one “most innovative university” for 11 consecutive years by U.S. News & World Report. They co-created the PLuS Alliance which established The Engineering Design Institute in London and have just announced ASU London which will combine a three-year U.K. bachelor’s degree from ASU London with an accelerated, one-year master’s degree from Arizona State University. They have done a remarkable job in setting out a vision for the New American University combining great research with great teaching.

    Northeastern University under the leadership of Joseph Aoun built employer relationships and used them to develop a distinctive pedagogical approach built around experiential learning. They have widened access through expanding their campus footprint and through online learning using partnerships as a part of the strategy. Online access features less strongly than some but is an important element. They now have a campus in the UK and offer a “double degree” accredited both by an American and an English university. This is highly distinctive for many international students who want the option to work in the US or the UK. They clearly define themselves as a research university.

    Southern New Hampshire University, led by Paul LeBlanc from 2003–2024, has had a remarkable journey of student growth, from a relatively unknown campus with a small number of students to one of America’s largest with more than 200,000 students today. They focused first on online delivery during the 1990s and then on their distinctive Competency Model of learning and access delivered through their “College for America.” They are primarily an online university today although the campus continues to be an important part of the proposition. Unlike some other universities they achieved remarkable growth without significant partnering with so-called OPM providers. They have positioned themselves distinctively as career focused, affordable and transfer friendly which is of great importance to adult learners.

    A generational opportunity

    These universities have shown an appetite for innovation and risk, perhaps knowing the risk of inaction to be greater, but primarily being confident what they stand for and why it is distinctive. They have widened access to serve lifelong learners and they offer flexibility to traditional students too – the majority of traditional US students now do at least one class online.

    Growth in the lifelong learning of advanced knowledge and skills is perhaps the biggest opportunity in education since the GI Bill made higher education accessible to millions of people in the United States after the Second World War. In England, the Lifelong Learning Entitlement provides a welcome catalyst, but only if the ideas behind it are firmly embraced and taken to scale by innovative leaders, will the potential be realised.

    James Stockman used a combination of realism and faith to sustain himself as a prisoner. Universities will need this too, but they also hold a key to the door.

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  • How school IT teams lock down QR-based SSO without hurting usability

    How school IT teams lock down QR-based SSO without hurting usability

    Key points:

    Schools can keep QR logins safe and seamless by blending clear visual cues, ongoing user education, and risk-based checks behind the scenes

    QR-based single sign-on (SSO) is fast becoming a favorite in schools seeking frictionless access, especially for bring-your-own-device (BYOD) environments.

    The BYOD in education market hit $15.2 billion in 2024 and is projected to grow at a 17.4 percent CAGR from 2025 to 2033, driven by the proliferation of digital learning and personal smart devices in schools.

    However, when attackers wrap malicious links into QR codes, school IT leaders must find guardrails that preserve usability without turning every login into a fortress.

    Phishing via QR codes, a tactic now known as “quishing,” is where attackers embed malicious QR codes in emails or posters, directing pupils, faculty, and staff to fake login pages. Over four out of five K-12 schools experienced cyber threat impacts with human-targeted threats like phishing or quishing, exceeding other techniques by 45 percent.

    Because QR codes hide or obscure the URL until after scanning, they evade many traditional email spam filters and link scanners.

    Below are three strategies to get that balance between seamless logins and safe digital environments right.

    How to look out for visual signals

    Approximately 60 percent of emails containing QR codes are classified as spam. Branded content, such as the school or district logo, consistent with the look and feel of other web portals and student apps, will help students identify a legitimate QR over a malicious one.

    Frontier research shows that bold colors and clear iconography can increase recognition speed by up to 40 percent. This is the kind of split-second reassurance a student or teacher needs before entering credentials on a QR-based login screen.

    Training your users to look for the full domain or service name, such as “sso.schooldistrict.edu” under the QR, is good practice to avoid quishing attacks, school-related or not. However, this will be trickier for younger students.

    The Frontier report demonstrates how younger children rely more heavily on color and icon cues than on text or abstract symbols. For K-12 students, visual trust cues such as school crests, mascots, or familiar color schemes offer a cognitive shortcut to legitimacy.

    Still, while logos and “Secured by…” badges are there to reassure users, attackers know this. Microsoft, Cisco Talos, and Palo Alto Unit42 have documented large-scale phishing campaigns where cybercriminals cloned Microsoft 365 and Okta login pages, complete with fake security seals, to harvest credentials.

    For schools rolling out QR-based SSO, pairing visible trust cues with dynamic watermarks unique to the institution makes it harder for attackers to replicate.

    User education on quishing risk

    Human error drives most breaches, particularly in K-12 schools. These environments handle a mix of pupils who are inexperienced with security risks and, therefore, are less likely to scrutinize QR codes, links, or credentials.

    Students and teachers must be taught the meaning of signs and the level of detail to consider in order to respond more quickly and correctly. A short digital literacy module about QR logins can dramatically cut phishing and quishing risk, reinforcing what legitimate login screens should look like. These should be repeated regularly for updates and to strengthen the retrieval and recognition of key visual cues.

    Research in cognitive psychology shows that repeated exposure can boost the strength of a memory by more than 30 percent, making cues harder to ignore and easier to recall. When teaching secure login habits, short, repeated micro-lessons–for example, 3-5 min videos with infographics–can boost test scores 10-20 percent. Researcher Piotr Wozniak suggests spacing reviews after 1 day, then 7 days, 16 days, 35 days, and later every 2-3 months.

    With proper education, students should instinctively not trust QRs received via text message or social media through unverified numbers or accounts. Encouraging the use of a Secure QR Code Scanner app, at least for staff and perhaps older students, can be helpful, because it will verify the embedded URL before a user opens it.

    When to step up authentication after a scan

    QR codes make logging in fast, but after a scan, you don’t have to give full access right away. Instead, schools can use these scans as the first factor and decide whether to require more proof before granting access, depending on risk signals.

    For example, if a student or teacher scans the QR code with a phone or tablet that’s not on the school’s “known device” list, the system should prompt for a PIN, passphrase, or MFA push before completing login. The same applies to sensitive systems that include student data or financial information.

    Microsoft’s 2024 Digital Defense Report shows that adding MFA blocks 99.2 percent of credential attacks. That means a simple SMS or push-based MFA can drastically slash phishing and quishing success rates. By adding a quick MFA prompt only when risk signals spike, school IT teams preserve the speed of QR logins without giving up security.

    Schools can also apply cloud-security platforms to strengthen QR-based SSO without sacrificing ease of use. These tools sit behind the scenes, continuously monitoring Google Workspace, Microsoft 365, and other education apps for unusual logins, risky devices, or policy violations.

    By automatically logging every QR login event, including device, time, and location, and triggering alerts when something looks off, IT teams gain visibility and early warning without adding extra friction for staff or students. This approach lets schools keep QR sign-ins fast and familiar with risk-based controls and data protection running in the background.

    Schools can keep QR logins safe and seamless by blending clear visual cues, ongoing user education, and risk-based checks behind the scenes. Students and staff learn to recognize authentic screens, while IT teams add extra verification only when behavior looks risky. Simultaneously, continuous monitoring tracks every scan to catch problems early and improve education resources, all without slowing anyone down.

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  • How Windows 11 is powering the next generation of K-12 innovation

    How Windows 11 is powering the next generation of K-12 innovation

    Key points:

    As school districts navigate a rapidly evolving digital landscape, IT and academic leaders face a growing list of challenges–from hybrid learning demands and complex device ecosystems to rising cybersecurity threats and accessibility expectations. To stay ahead, districts need more than incremental upgrades–they need a secure, intelligent, and adaptable technology foundation.

    That’s the focus of the new e-book, Smarter, Safer, and Future-Ready: A K-12 Guide to Migrating to Windows 11. This resource takes an in-depth look at how Windows 11 can help school districts modernize their learning environments, streamline device management, and empower students and educators with AI-enhanced tools designed specifically for education.

    Readers will discover how Windows 11:

    • Protects district data with built-in, chip-to-cloud security that guards against ransomware, phishing, and emerging cyberattacks.
    • Simplifies IT management through automated updates, intuitive deployment tools, and centralized control–freeing IT staff to focus on innovation instead of maintenance.
    • Drives inclusivity and engagement with enhanced accessibility features, flexible interfaces, and AI-powered personalization that help every learner succeed.
    • Supports hybrid and remote learning with seamless collaboration tools and compatibility across a diverse range of devices.

    The e-book also outlines practical strategies for planning a smooth Windows 11 migration–whether upgrading existing systems or introducing new devices–so institutions can maximize ROI while minimizing disruption.

    For CIOs, IT directors, and district technology strategists, this guide provides a blueprint for turning technology into a true driver of academic excellence, operational efficiency, and district resilience.

    Download the e-book today to explore how Windows 11 is helping K-12 districts become smarter, safer, and more future-ready than ever before.

    Laura Ascione
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  • How interactive tech simplifies IT and supercharges learning

    How interactive tech simplifies IT and supercharges learning

    Key points:

    Today’s school IT teams juggle endless demands–secure systems, manageable devices, and tight budgets–all while supporting teachers who need tech that just works.

    That’s where interactive displays come in. Modern, OS-agnostic solutions like Promethean’s ActivPanel 10 Premium simplify IT management, integrate seamlessly with existing systems, and cut down on maintenance headaches. For schools, that means fewer compatibility issues, stronger security, and happier teachers.

    But these tools do more than make IT’s job easier–they transform teaching and learning. Touch-enabled collaboration, instant feedback, and multimedia integration turn passive lessons into dynamic, inclusive experiences that keep students engaged and help teachers do their best work.

    Built to last, interactive displays also support long-term sustainability goals and digital fluency–skills that carry from classroom to career.

    Discover how interactive technology delivers 10 powerful benefits for schools.

    Download the full report and see how interactive solutions can help your district simplify IT, elevate instruction, and create future-ready classrooms.

    Laura Ascione
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  • Testing Times & Interesting Discussions

    Testing Times & Interesting Discussions

    Last week, The Royal Bank of Canada (RBC) put out a discussion paper called Testing Times: Fending Off A Crisis in Post-Secondary Education, which in part is the outcome of a set of cross-country discussions held this summer by RBC, HESA, and the Business Higher Education Roundtable. (BHER). The paper, I think, sums up the current situation pretty well: the system is not at a starvation point but is heading in that direction pretty quickly and that needs to be rectified. On the other hand, there are some ways that institutions could be moving more quickly to respond to changing social and economic circumstances. What’s great about this paper is that it balances those two ideas pretty effectively.

    I urge everyone to read it themselves because I think it sums up a lot of issues nicely – many of which we at HESA will be taking up at our Re: University conference in January (stay tuned! the nearly full conference line-up will be out in a couple of weeks, and it’s pretty exciting). But I want to draw everyone’s attention to section 4 of the report, in particular which I think is the sleeper issue of the year, and that is the regulation of post-secondary institutions. One of the things we heard a lot on the road was how universities were being hamstrung – not just by governments but by professional regulatory bodies – in terms of developing innovative programming. This is a subject I’ll return to in the next week or two, but I am really glad that this issue might be starting to get some real traction.

    The timing of this release wasn’t accidental: it came just a few days before BHER had one of its annual high-level shindigs, and RBC’s CEO Dave MacKay is also BHER’s Board Chair, so the two go hand-in-hand to some extent. I was at the summit on Monday – a Chatham House rules session at RBC headquarters – which attracted a good number of university and college presidents, as well as CEOs – entitled Strategic Summit on Talent, Technology and a New Economic Order. The discussions took up the challenge in the RBC paper to look at where the country is going and where the post-secondary education sector can contribute to making a new and stronger Canada.

    And boy, was it interesting.

    I mean, partly it was some of the outright protectionist stuff being advocated by the corporate sector in the room. I haven’t heard stuff like that since I was a child. Basically, the sentiment in the room is that the World Trade Organization (WTO) is dead, the Americans aren’t playing by those rules anymore, so why should we? Security of supply > low-cost supply. Personally, I think that likely means that this “new economic order” is going to mean much more expensive wholesale prices, but hey, if that’s what we have to adapt to, that’s what we have to adapt to.

    But, more pertinent to this blog were the ways the session dealt with the issue of what in higher education needs to change to meet the moment. And, for me, what was interesting was that once you get a group of business folks in a room and ask what higher education can do to help get the country on track, they actually don’t have much to say. They will talk a LOT about what government can do to help get the country on track. The stories they can tell about how much more ponderous and anti-innovation Canadian public procurement policies are compared to almost any other jurisdiction on earth would be entertaining if the implications were not so horrific. They will talk a LOT about how Canadian C-suites are risk-averse, almost as risk-averse as government, and how disappointing that is.

    But when it comes to higher education? They don’t actually have all that much to say. And that’s both good and bad.

    Now before I delve into this, let me say that it’s always a bit tricky to generalize what a sector believes based on a small group of CEOs who get drafted into a room like this one. I mean, to some degree these CEOs are there because they are interested in post-secondary education, so they aren’t necessarily very representative of the sector. But here’s what I learned:

    • CEOs are a bit ruffled by current underfunding of higher education. Not necessarily to the point where they would put any of their own political capital on the line, but they are sympathetic to institutions.
    • When they think about how higher education affects their business, CEOs seem to think primarily about human capital (i.e. graduates). They talk a lot less about research, which is mostly what universities want to talk about, so there is a bit of a mismatch there.
    • When they think about human capital, what they are usually thinking about is “can my business have access to skills at a price I want to pay?” Because the invitees are usually heads of successful fast-growing companies, the answer is usually no. Also, most say what they want are “skills” – something they, not unreasonably, equate with experience, which sets up another set of potential misunderstandings with universities because degrees ≠ experience (but it does mean everyone can agree on more work-integrated learning).
    • As a result – and this is important here – it’s best if CEOs think about post-secondary education in terms of firm growth, not in terms of economy-wide innovation.

    Now, maybe that’s all right and proper – after all, isn’t it government’s business to look after the economy-wide stuff? Well, maybe, but here’s where it gets interesting. You can drive innovation either by encouraging the manufacture and circulation of ideas (i.e. research) or by diffusing skills through the economy (i.e. education/training). But our federal government seems to think that innovation only happens via the introduction of new products/technology (i.e., the product of research), and that to the extent there is an issue with post-secondary education, it is that university-based research doesn’t translate into new products fast enough – i.e. the issue is research commercialization. The idea that technological adoption might be the product of governments and firms not having enough people to use new technologies properly (e.g. artificial intelligence)? Not on anyone’s radar screen.

    And that really is a problem. One I am not sure is easily fixed because I am not sure everyone realizes the degree to which they are talking past each other. But that said, the event was a promising one. It was good to be in a space where so many people cared about Canada, about innovation, and about post-secondary education. And the event itself – very well pulled-off by RBC and BHER – made people want to keep discussing higher education and the economy. Both business and higher education need to have events like this one, regularly, and not just nationally but locally as well. The two sides don’t know each other especially well, and yet their being more in sync is one of the things that could make the country work a lot better than it does. Let’s keep talking.

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  • KU researchers publish guidelines to help responsibly implement AI in education

    KU researchers publish guidelines to help responsibly implement AI in education

    This story originally appeared on KU News and is republished with permission.

    Key points:

    Researchers at the University of Kansas have produced a set of guidelines to help educators from preschool through higher education responsibly implement artificial intelligence in a way that empowers teachers, parents, students and communities alike.

    The Center for Innovation, Design & Digital Learning at KU has published “Framework for Responsible AI Integration in PreK-20 Education: Empowering All Learners and Educators with AI-Ready Solutions.” The document, developed under a cooperative agreement with the U.S. Department of Education, is intended to provide guidance on how schools can incorporate AI into its daily operations and curriculum.

    Earlier this year, President Donald Trump issued an executive order instructing schools to incorporate AI into their operations. The framework is intended to help all schools and educational facilities do so in a manner that fits their unique communities and missions.

    “We see this framework as a foundation,” said James Basham, director of CIDDL and professor of special education at KU. “As schools consider forming an AI task force, for example, they’ll likely have questions on how to do that, or how to conduct an audit and risk analysis. The framework can help guide them through that, and we’ll continue to build on this.”

    The framework features four primary recommendations.

    • Establish a stable, human-centered foundation.
    • Implement future-focused strategic planning for AI integration.
    • Ensure AI educational opportunities for every student.
    • Conduct ongoing evaluation, professional learning and community development.

    First, the framework urges schools to keep humans at the forefront of AI plans, prioritizing educator judgment, student relationships and family input on AI-enabled processes and not relying on automation for decisions that affect people. Transparency is also key, and schools should communicate how AI tools work, how decisions are made and ensure compliance with student protection laws such as the Individuals with Disabilities Education Act and Family Education Rights and Privacy Act, the report authors write.

    The document also outlines recommendations for how educational facilities can implement the technology. Establishing an AI integration task force including educators, administrators, families, legal advisers and specialists in instructional technology and special education is key among the recommendations. The document also shares tips on how to conduct an audit and risk analysis before adoption and consider how tools can affect student placement and identification and consider possible algorithmic error patterns. As the technologies are trained on human data, they run the risk of making the same mistakes and repeating biases humans have made, Basham said.

    That idea is also reflected in the framework’s third recommendation. The document encourages educators to commit to learner-centered AI implementation that considers all students, from those in gifted programs to students with cognitive disabilities. AI tools should be prohibited from making final decisions on IEP eligibility, disciplinary actions and student progress decisions, and mechanisms should be installed that allow for feedback on students, teachers and parents’ AI educational experiences, the authors wrote.

    Finally, the framework urges ongoing evaluation, professional learning and community development. As the technology evolves, schools should regularly re-evaluate it for unintended consequences and feedback from those who use it. Training both at implementation and in ongoing installments will be necessary to address overuse or misuse and clarify who is responsible for monitoring AI use and to ensure both the school and community are informed on the technology.

    The framework was written by Basham; Trey Vasquez, co-principal investigator at CIDDL, operating officer at KU’s Achievement & Assessment Institute and professor of special education at KU; and Angelica Fulchini Scruggs, research associate and operations director for CIDDL.

    Educators interested in learning more about the framework or use of AI in education are invited to connect with CIDDL. The center’s site includes data on emergent themes in AI guidance at the state level and information on how it supports educational technology in K-12 and higher education. As artificial intelligence finds new uses and educators are expected to implement the technology in schools, the center’s researchers said they plan to continue helping educators implement it in ways that benefit schools, students of all abilities and communities.

    “The priority at CIDDL is to share transparent resources for educators on topics that are trending and in a way that is easy to digest,” Fulchini Scruggs said. “We want people to join the community and help them know where to start. We also know this will evolve and change, and we want to help educators stay up to date with those changes to use AI responsibly in their schools.”

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  • Weaving digital citizenship into edtech innovation

    Weaving digital citizenship into edtech innovation

    Key points:

    What happens when over 100 passionate educators converge in Chicago to celebrate two decades of educational innovation? A few weeks ago, I had the thrilling opportunity to immerse myself in the 20th anniversary of the Discovery Educator Network (the DEN), a week-long journey that reignited my passion for transforming classrooms.

    From sunrise to past sunset, my days at Loyola University were a whirlwind of learning, laughter, and relentless exploration. Living the dorm life, forging new connections, and rekindling old friendships, we collectively dove deep into the future of learning, creating experiences that went far beyond the typical professional development.

    As an inaugural DEN member, the professional learning community supported by Discovery Education, I was incredibly excited to return 20 years after its founding to guide a small group of educators through the bountiful innovations of the DEN Summer Institute (DENSI). Think scavenger hunts, enlightening workshops, and collaborative creations–every moment was packed with cutting-edge ideas and practical strategies for weaving technology seamlessly into our teaching, ensuring our students are truly future-ready.

    During my time at DENSI, I learned a lot of new tips and tricks that I will pass on to the educators I collaborate with. From AI’s potential to the various new ways to work together online, participants in this unique event learned a number of ways to weave digital citizenship into edtech innovation. I’ve narrowed them down to five core concepts; each a powerful step toward building future-ready classrooms and fostering truly responsible digital citizens.

    Use of artificial intelligence

    Technology integration: When modeling responsible AI use, key technology tools could include generative platforms like Gemini, NotebookLM, Magic School AI, and Brisk, acting as ‘thought partners’ for brainstorming, summarizing, and drafting. Integration also covers AI grammar/spell-checkers, data visualization tools, and feedback tools for refining writing, presenting information, and self-assessment, enhancing digital content interaction and production.

    Learning & application: Teaching students to ethically use AI is key. This involves modeling critical evaluation of AI content for bias and inaccuracies. For instance, providing students with an AI summary of a historical event to fact-check with credible sources. Students learn to apply AI as a thought partner, boosting creativity and collaboration, not replacing their own thinking. Fact-checking and integrating their unique voices are essential. An English class could use AI to brainstorm plot ideas, but students develop characters and write the narrative. Application includes using AI for writing refinement and data exploration, fostering understanding of AI’s academic capabilities and limitations.

    Connection to digital citizenship: This example predominantly connects to digital citizenship. Teaching responsible AI use promotes intellectual honesty and information literacy. Students can grasp ethical considerations like plagiarism and proper attribution. The “red, yellow, green” stoplight method provides a framework for AI use, teaching students when to use AI as a collaborator, editor, or thought partner–or not at all.This approach cultivates critical thinking and empowers students to navigate the digital landscape with integrity, preparing them as responsible digital citizens understanding AI’s implications.

    Digital communication

    Technology integration: Creating digital communication norms should focus on clarity with visuals like infographics, screenshots, and video clips. Canva is a key tool for a visual “Digital Communication Agreement” defining online interaction expectations. Include student voice by the integration and use of pictures and graphics to illustrate behaviors and potentially collaborative presentation / polling tools for student involvement in norm-setting.

    Learning & application: Establishing clear online interaction norms is the focus of digital communication. Applying clear principles teaches the importance of visuals and setting communication goals. Creating a visual “Digital Communication Agreement” with Canva is a practical application where students define respectful online language and netiquette. An elementary class might design a virtual classroom rules poster, showing chat emojis and explaining “think before you post.” Using screenshots and “SMART goals” for online discussions reinforces learning, teaching constructive feedback and respectful debate. In a middle school science discussion board, the teacher could model a respectful response like “I understand your point, but I’m wondering if…” This helps students apply effective digital communication principles.

    Connection to digital citizenship: This example fosters respectful communication, empathy, and understanding of online social norms. By creating and adhering to a “Digital Communication Agreement,” students develop responsibility for online interactions. Emphasizing respectful language and netiquette cultivates empathy and awareness of their words’ impact. This prepares them as considerate digital citizens, contributing positively to inclusive online communities.

    Content curation

    Technology integration: For understanding digital footprints, one primary tool is Google Drive when used as a digital folder to curate students’ content. The “Tech Toolbox” concept implies interaction with various digital platforms where online presence exists. Use of many tools to curate content allows students to leave traces on a range of technologies forming their collective digital footprint.

    Learning & application: This centers on educating students about their online presence’s permanence and nature. Teaching them to curate digital content in a structured way, like using a Google Drive folder, is key. A student could create a “Digital Portfolio” in Google Drive with online projects, proud social media posts, and reflections on their public identity. By collecting and reviewing online artifacts, students visualize their current “digital footprint.” The classroom “listening tour” encourages critical self-reflection, prompting students to think about why they share online and how to be intentional about their online identity. This might involve students reviewing anonymized social media profiles, discussing the impression given to future employers.

    Connection to digital citizenship: This example cultivates awareness of online permanence, privacy, responsible self-presentation, and reputation management. Understanding lasting digital traces empowers students to make informed decisions. The reflection process encourages the consideration of their footprint’s impact, fostering ownership and accountability for online behavior. This helps them become mindful, capable digital citizens.

    Promoting media literacy

    Technology integration: One way to promote media literacy is by using “Paperslides” for engaging content creation, leveraging cameras and simple video recording. This concept gained popularity at the beginning of the DEN through Dr. Lodge McCammon. Dr. Lodge’s popular 1-Take Paperslide Video strategy is to “hit record, present your material, then hit stop, and your product is done” style of video creation is something that anyone can start using tomorrow. Integration uses real-life examples (likely digital media) to share a variety of topics for any audience. Additionally, to apply “Pay Full Attention” in a digital context implies online viewing platforms and communication tools for modeling digital eye contact and verbal cues.

    Learning & application: Integrating critical media consumption with engaging content creation is the focus. Students learn to leverage “Paperslides” or another video creation method to explain topics or present research, moving beyond passive consumption. For a history project, students could create “Paperslides” explaining World War II causes, sourcing information and depicting events. Learning involves using real-life examples to discern credible online sources, understanding misinformation and bias. A lesson might show a satirical news article, guiding students to verify sources and claims through their storyboard portion. Applying “Pay Full Attention” teaches active, critical viewing, minimizing distractions. During a class viewing of an educational video, students could pause to discuss presenter credentials or unsupported claims, mimicking active listening. This fosters practical media literacy in creating and consuming digital content.

    Connection to digital citizenship: This example enhances media literacy, critical online information evaluation, and understanding persuasive techniques. Learning to create and critically consume content makes students informed, responsible digital participants. They identify and question sources, essential for navigating a digital information-saturated world. This empowers them as discerning digital citizens, contributing thoughtfully to online content.

    Collaborative problem-solving

    Technology integration: For practicing digital empathy and support, key tools are collaborative online documents like Google Docs and Google Slides. Integration extends to online discussion forums (Google Classroom, Flip) for empathetic dialogue, and project management tools (Trello, Asana) for transparent organization. 

    Learning & application: This focuses on developing effective collaborative skills and empathetic communication in digital spaces. Students learn to work together on shared documents, applying a “Co-Teacher or Model Lessons” approach where they “co-teach” each other new tools or concepts. In a group science experiment, students might use a shared Google Doc to plan methodology, with one “co-teaching” data table insertion from Google Sheets. They practice constructive feedback and model active listening in digital settings, using chat for clarification or emojis for feelings. The “red, yellow, green” policy provides a clear framework for online group work, teaching when to seek help, proceed cautiously, or move forward confidently. For a research project, “red” means needing a group huddle, “yellow” is proceeding with caution, and “green” is ready for review.

    Connection to digital citizenship: This example is central to digital citizenship, developing empathy, respectful collaboration, and responsible problem-solving in digital environments. Structured online group work teaches how to navigate disagreements and offers supportive feedback. Emphasis on active listening and empathetic responses helps internalize civility, preparing students as considerate digital citizens contributing positively to online communities.

    These examples offer a powerful roadmap for cultivating essential digital citizenship skills and preparing all learners to be future-ready. The collective impact of thoughtfully utilizing these or similar approaches , or even grab and go resources from programs such as Discovery Education’s Digital Citizenship Initiative, can provide the foundation for a strong academic and empathetic school year, empowering educators and students alike to navigate the digital world with confidence, integrity, and a deep understanding of their role as responsible digital citizens.

    In addition, this event reminded me of the power of professional learning communities.  Every educator needs and deserves a supportive community that will share ideas, push their thinking, and support their professional development. One of my long-standing communities is the Discovery Educator Network (which is currently accepting applications for membership). 

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  • The identity crisis of teaching and learning innovation

    The identity crisis of teaching and learning innovation

    Universities love to talk about innovation. Pedagogical innovation is framed as a necessity in an era of rapid change, yet those expected to enact it – academics – are caught in an identity crisis.

    In our research on post-pandemic pedagogical innovation, we found that the decision to engage with or resist innovation is not just about workload, resources, or institutional strategy. It’s about identity – who academics see themselves as, how they are valued within their institutions, and what risks they perceive in stepping beyond the status quo.

    Academics are asked to be both risk-taking pedagogical entrepreneurs and compliant employees within increasingly bureaucratic, metric-driven institutions. This paradox creates what we call the moral wiggle room of innovation – a space where educators justify disengagement, not necessarily because they oppose change, but because their institutional environment does not meaningfully reward it.

    The paradox of pedagogical innovation

    During the pandemic, universities celebrated those who embraced new digital tools, hybrid learning, and flexible teaching formats. “Necessity breeds innovation” became the dominant narrative. Yet, as the crisis has subsided, many of these same institutions have reverted to rigid processes, managerial oversight, and bureaucratic hurdles, making innovation feel like an uphill battle.

    On paper, universities support innovation. Education strategies abound with commitments to “transformative learning experiences” and “sector-leading digital education.” However, in practice, academics face competing pressures – expectations to drive innovation while being weighed down by institutional inertia.

    The challenge is not just about introducing innovation but sustaining it in ways that foster long-term change. While institutions may advocate for pedagogical innovation, the reality for many educators is a system that does not provide the necessary time, support, or recognition to make such innovation a viable, sustained effort.

    The result? Many feel disillusioned. As one academic in our research put it:

    I definitely think there’s a drive to be more innovative, but it feels like a marketized approach. It’s not tangible – I can’t say, ‘Oh, they’re really supporting me to be more innovative.’ There’s no clear pathway, no structured process.
    Academic at a post-92 university

    For some, engaging in pedagogical innovation is a source of professional fulfilment. For others, it is a career gamble. Whether academics choose to innovate or resist depends largely on how their identity aligns with institutional structures, career incentives, and personal values.

    Three identity tensions shaping pedagogical innovation

    Regulated versus self-directed identity Institutions shape identity through expectations: teaching excellence frameworks, fellowship accreditations, and workload models dictate what “counts” in an academic career. Yet, many educators see their professional identity as self-driven – rooted in disciplinary expertise and a commitment to students. When institutional definitions of innovation clash with personal motivations, resistance emerges.

    As one participant put it:

    When you’re (personally) at the forefront of classroom innovation…you’re constantly looking outwards for ideas. Within the institution, there isn’t really anyone I can go to and say, ‘What are you doing differently?’ It’s more about stumbling upon people rather than having a proactive approach to being innovative. I think there’s a drive for PI, but it feels like a marketised approach.
    Academic at a post-92 university

    For some, innovation is an extension of their identity as educators; for others, it is a compliance exercise – an expectation imposed from above rather than a meaningful pursuit.

    This tension is explored in Wonkhe’s discussion of institutional silos, which highlights how universities often create structures that inadvertently restrict collaboration and cross-disciplinary innovation, making it harder for educators to engage with meaningful change.

    Risk versus reward in academic careers Engaging in pedagogical innovation takes time and effort. For those on teaching and scholarship contracts, it is often an expectation. For research and scholarship colleagues, it is rarely a career priority.

    Despite strategic commitments to pedagogical innovation, career incentives in many institutions still favour traditional research outputs over pedagogical experimentation. The opportunity cost is real – why invest in something that holds little weight in promotions or workload models?

    As one academic reflected:

    I prioritise what has immediate impact. Another teaching award isn’t a priority. Another publication directly benefits my CV.

    Senior leader at a Russell Group university

    Until pedagogical I is properly recognised in career progression, it will remain a secondary priority for many. As explored on Wonkhe here, the question is not just whether innovation happens but whether institutions create environments that allow it to spread. Without clear incentives, pedagogical innovation remains the domain of the few rather than an embedded part of academic practice.

    Autonomy versus bureaucracy Academics value autonomy. It is one of the biggest predictors of job satisfaction in higher education. Yet pedagogical innovation is often entangled in institutional bureaucracy (perceived or real) through slow approval processes, administrative hurdles, and performance monitoring.

    The pandemic showed that universities can be agile. But many educators now feel that flexibility has been replaced by managerialism, stifling creativity.

    I’ve had people in my office almost crying at the amount of paperwork just to get an innovation through. People get the message: don’t bother.

    Senior leader at a Russell Group university

    To counteract this, as one educator put it:

    It’s better to ask forgiveness afterwards than ask permission beforehand.

    Senior leader at a Russell Group university

    This kind of strategic rule-bending highlights the frustration many educators feel – a desire to innovate constrained by institutional red tape.

    Mark Andrews, in a Wonkhe article here, argues that institutions need to focus on making education work rather than simply implementing digital tools for their own sake. The same logic applies to pedagogical innovation – if the focus is solely on regulation, innovation will always struggle to take root.

    Beyond the rhetoric: what needs to change

    If universities want sustained innovation, they must address these identity tensions. Pedagogical innovation needs to be rewarded in promotions, supported through streamlined processes, and recognised as legitimate academic work – not an optional extra.

    This issue of curriculum transformation was explored on Wonkhe here, raising the critical question of how universities can move beyond rhetoric and make change a reality.

    The post-pandemic university is at a crossroads. Will pedagogical innovation be institutionalised in meaningful ways, or will it remain a talking point rather than a transformation? Academics are already navigating an identity crisis – caught between structural constraints, career incentives, and their own motivations. Universities must decide whether to ease that tension or allow it to widen.

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  • The UK’s register of university spin-outs

    The UK’s register of university spin-outs

    It’s never been done before, anywhere in the world.

    HESA’s experimental data (collected via part C of the HE-BCI questionnaire) shows 2,269 companies founded or owned by UK higher education providers, stretching as far back as 1969 (excluding 22 operating in “stealth mode” for reasons of commercial confidentiality.

    It puts names and numbers on the phenomenon of the higher education provider spin-out – demonstrating a direct impact of research, development, and incubation activity.

    A starting point

    In itself, it is simply a list of company names, linked to provider names and showing foundation and incorporation dates (the former is the year when intellectual property was transferred to the spin-out, the later is the year it was registered with an appropriate authority like Companies House). It includes all spin-outs active during the 2023-24 academic year, plus spin-outs of any status since 1 August 2012. It will become more useful as more data is added year-by-year, and it is very much promoted as a starting point for data linking and further analysis. But even now, we can see the growth in numbers over time, and the way new spin-out numbers have declined since 2021.

    [Full screen]

    With this in mind, we’ve linked via company registration number to the main Companies House free data source. The majority of companies are registered here – you can generally read an absence of registration as an indication that a company is no longer active, but there are also some edge cases..

    Companies House data isn’t brilliant quality, but it allows us to unlock some additional information about each one. We can see an indication of status (confirmation that a spin-out is active, or details of what else – liquidation, administration – may be going on. We get an indication of the location of the spin-out, and the company type (is it a limited company?).

    What are they up to?

    Of particular interest to us was the activity of the company in terms of the industry it is involved in. Companies House uses Standard Industrial Classification (SIC) codes – on registration and annual confirmation you can supply up to a total of four. Again I should emphasise that the quality of data isn’t fantastic, but this does give you a sense of what all of these spinouts may be up to.

    By far the largest sphere of activity is biotechnology development, with the catch all “other research and development on natural sciences and engineering” in second place.

    [Full screen]

    Five providers have more than 100 spin-outs registered – Cambridge, Oxford, UCL, Swansea, and Manchester (Imperial is at 97). It would perhaps be more surprising to many to see 72 spin outs from the Royal College of Art – these are not limited to arts-related activity although the majority will be design-led.

    [Full screen]

    In total

    DK has put together a master search, allowing you to view salient details of every spin-out on the register. Choose a provider of interest with the filter on the top, or narrow down by company activity using the free text (you can enter up to five terms, and it is a little bit experimental so it may not always produce the results you would expect – but do persist) box at the bottom – and he’s also added a filter for social enterprises.

    [Full screen]

    What have we learned?

    Policy watchers may be interested in whether the spin-out ecosystem is getting stronger, or looking healthy, or as many in the sector would say that spinning-out is fine but spinning-up is really difficult.

    Again, it’s hard to know without more data. Of the 2,269 companies on the register 526 are not currently registered with companies house, 67 are in liquidation, 30 have a “proposal to strike off”, and 8 are in administration. Another way to look at this of course is that 1,646 university spin-out companies stretching as far back as 1969 are, at least on paper, alive and well. This is in stark contrast to businesses more generally where only one-third of businesses started ten years ago are still in existence.

    Another interesting question is whether various interventions, reviews, templates on equity, or missives from the government have made developing spin-outs any easier or more lucrative. Again, at the risk of sounding like a broken record, the register is not the right place to look for this information. It is tempting to say that as university finances came under real strain from 2021 onwards spin-out creation velocity declined. Clearly, universities need cash to invest in spin-outs and when they have less cash it would seem likely there would be fewer spin-outs. However, we just don’t have enough information in this register to suggest with confidence why the spin-out ecosystem looks like it does, even if we can describe what is happening.

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  • The spending review is a critical moment for UK science and innovation

    The spending review is a critical moment for UK science and innovation

    A series of key government announcements over the coming weeks will set the direction of travel for research and innovation for years to come. Next week’s spending review will set the financial parameters for the remainder of this Parliament – and we shouldn’t expect this outcome to maintain the status quo, given this is the first zero-based review under a Labour government for 17 years.

    Accompanying this will be the industrial strategy white paper, which is likely to have a focus on driving innovation and increasing the diffusion and adoption of technologies across the economy – in which the UK’s universities will need to be key delivery partners. We can also expect more detail on the proposals in the immigration white paper, with implications for international student and staff flows to the UK.

    The outcome for higher education and research remains hard to call, but the government has sent early signals that it recognises the value of investment in R&D as crucial to transforming the UK’s economy. In a volatile fiscal environment, DSIT’s R&D budget saw a real-terms increase of 8.5 per cent for 2025–26 with protection for “core research” activity within this.

    Looking ahead to the spending review, the Institute for Fiscal Studies has pointed out that the fiscal envelope set by the Chancellor for capital spending – which is how R&D is classified – at the spring statement is significantly frontloaded. There is scope for increases in the early years of the spending review period and then real-terms declines from 2027–28. With such significant constraints on the public finances, it’s more essential than ever that the UK’s R&D funding system maximises efficiency and impact, making the best possible use of available resources.

    International comparisons

    Last month, the Russell Group published a report commissioned from PwC and funded by Wellcome which considered the experiences of countries with very different R&D funding systems, to understand what the UK might learn from our competitors.

    Alongside the UK, the report examined four countries: Canada, Germany, the Netherlands and South Korea, scoring them across five assessment criteria associated with a strong R&D system: strategic alignment to government priorities; autonomy, stability and sustainability; efficiency; and leveraging external investment. It also scored the countries on two measures of output: research excellence and innovation excellence.

    The analysis can help to inform government decisions about how to strike a balance between these criteria. For example, on the face of it there’s a trade-off between prioritising institutional autonomy and ensuring strategic alignment to government priorities. But PwC found that providing universities with more freedom in how they allocate their research funding – for example, through flexible funding streams like Quality-Related (QR) funding – means they can also take strategic long-term decisions, which create advantage for the UK in key research fields for the future.

    Over the years, QR funding and its equivalents in the devolved nations have enabled universities to make investments which have led to innovations and discoveries such as graphene, genomics, opto-electronics, cosmology research, and new tests and treatments for everything from bowel disease to diabetes, dementia and cancer.

    Conversely, aligning too closely to changing political priorities can stifle impact and leave the system vulnerable. PwC found that, at its extreme, a disproportionate reliance on mission-led or priority-driven project grant funding inhibits the ability of institutions to invest outside of government’s immediate priority areas, resulting in less long-term strategic investment.

    With a stretching economic growth mission to deliver, policymakers will be reaching for interventions which encourage private investment into the economy. The PwC report found long-term, stable government incentives are crucial in leveraging industry investment in R&D, alongside supporting a culture of industry-university collaboration. This has worked well in Germany and South Korea with a mix of incentives including tax credits, grants and loans to strengthen innovation capabilities.

    Getting the balance right

    The UK currently lags behind global competitors on the proportion of R&D funded by the business sector, at just over 58 per cent compared to the OECD average of 65 per cent. However, when considering R&D financed by business but performed by higher education institutions, the UK performs fifth highest in the OECD – well above the average.

    This demonstrates the current system is successfully leveraging private sector collaboration and investment into higher education R&D. We should now be pursuing opportunities to bolster this even further. Schemes such as the Higher Education Innovation Fund (HEIF) deliver a proven return on investment: every £1 invested in HEIF yields £14.8 in economic return at the sector-level. PwC’s report noted that HEIF has helped develop “core knowledge exchange capabilities” within UK HEIs which are crucial to building successful partnerships with industry and spinning out new companies and technologies.

    In a time of global uncertainty, economic instability and rapid technological change, investments in R&D still play a key role in tackling our most complex challenges. In its forthcoming spending review – the Russell Group submission is available here – as well as in the industrial strategy white paper and in developing reforms to the visa system, the government will need to balance a number of competing but interrelated objectives. Coordination across government departments will be crucial to ensure all the incentives are pointing in the right direction and to enable sectors such as higher education to maximise the contribution they can make to delivering the government’s missions.

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