Tag: Digital

  • Teaching visual literacy as a core reading strategy in the age of AI

    Teaching visual literacy as a core reading strategy in the age of AI

    Key points:

    Many years ago, around 2010, I attended a professional development program in Houston called Literacy Through Photography, at a time when I was searching for practical ways to strengthen comprehension, discussion, and reading fluency, particularly for students who found traditional print-based tasks challenging. As part of the program, artists visited my classroom and shared their work with students. Much of that work was abstract. There were no obvious answers and no single “correct” interpretation.

    Instead, students were invited to look closely, talk together, and explain what they noticed.

    What struck me was how quickly students, including those who struggled with traditional reading tasks, began to engage. They learned to slow down, describe what they saw, make inferences, and justify their thinking. They weren’t just looking at images; they were reading them. And in doing so, they were rehearsing many of the same strategies we expect when reading written texts.

    At the time, this felt innovative. But it also felt deeply intuitive.

    Fast forward to today.

    Students are surrounded by images and videos, from photographs and diagrams to memes, screenshots, and, increasingly, AI-generated visuals. These images appear everywhere: in learning materials, on social media, and inside the tools students use daily. Many look polished, realistic, and authoritative.

    At the same time, AI has made faking easier than ever.

    As educators and school leaders, we now face urgent questions around misinformation, academic integrity, and critical thinking. The issue is no longer just whether students can use AI tools, but whether they can interpret, evaluate, and question what they see.

    This is where visual literacy becomes a frontline defence.

    Teaching students to read images critically, to see them as constructed texts rather than neutral data, strengthens the same skills we rely on for strong reading comprehension: inference, evidence-based reasoning, and metacognitive awareness.

    From photography to AI: A conversation grounded in practice

    Recently, I found myself returning to those early classroom experiences through ongoing professional dialogue with a former college lecturer and professional photographer, as we explored what it really means to read images in the age of AI.

    A conversation that grew out of practice

    Nesreen: When I shared the draft with you, you immediately focused on the language, whether I was treating images as data or as signs. Is this important?

    Photographer: Yes, because signs belong to reading. Data is output. Signs are meaning. When we talk about reading media texts, we’re talking about how meaning is constructed, not just what information appears.

    Nesreen: That distinction feels crucial right now. Students are surrounded by images and videos, but they’re rarely taught to read them with the same care as written texts.

    Photographer: Exactly. Once students understand that photographs and AI images are made up of signs, color, framing, scale, and viewpoint, they stop treating images as neutral or factual.

    Nesreen: You also asked whether the lesson would lean more towards evaluative assessment or summarizing. That made me realize the reflection mattered just as much as the image itself.

    Photographer: Reflection is key. When students explain why a composition works, or what they would change next time, they’re already engaging in higher-level reading skills.

    Nesreen: And whether students are analyzing a photograph, generating an AI image, or reading a paragraph, they’re practicing the same habits: slowing down, noticing, justifying, and revising their thinking.

    Photographer: And once they see that connection, reading becomes less about the right answer and more about understanding how meaning is made.

    Reading images is reading

    One common misconception is that visual literacy sits outside “real” literacy. In practice, the opposite is true.

    When students read images carefully, they:

    • identify what matters most
    • follow structure and sequence
    • infer meaning from clues
    • justify interpretations with evidence
    • revise first impressions

    These are the habits of skilled readers.

    For emerging readers, multilingual learners, and students who struggle with print, images lower the barrier to participation, without lowering the cognitive demand. Thinking comes first. Language follows.

    From composition to comprehension: Mapping image reading to reading strategies

    Photography offers a practical way to name what students are already doing intuitively. When teachers explicitly teach compositional elements, familiar reading strategies become visible and transferable.

    What students notice in an image What they are doing cognitively Reading strategy practiced
    Where the eye goes first Deciding importance Identifying main ideas
    How the eye moves Tracking structure Understanding sequence
    What is included or excluded Considering intention Analyzing author’s choices
    Foreground and background Sorting information Main vs supporting details
    Light and shadow Interpreting mood Making inferences
    Symbols and colour Reading beyond the literal Figurative language
    Scale and angle Judging power Perspective and viewpoint
    Repetition or pattern Spotting themes Theme identification
    Contextual clues Using surrounding detail Context clues
    Ambiguity Holding multiple meanings Critical reading
    Evidence from the image Justifying interpretation Evidence-based responses

    Once students recognise these moves, teachers can say explicitly:

    “You’re doing the same thing you do when you read a paragraph.”

    That moment of transfer is powerful.

    Making AI image generation teachable (and safe)

    In my classroom work pack, students use Perchance AI to generate images. I chose this tool deliberately: It is accessible, age-appropriate, and allows students to iterate, refining prompts based on compositional choices rather than chasing novelty.

    Students don’t just generate an image once. They plan, revise, and evaluate.

    This shifts AI use away from shortcut behavior and toward intentional design and reflection, supporting academic integrity rather than undermining it.

    The progression of a prompt: From surface to depth (WAGOLL)

    One of the most effective elements of the work pack is a WAGOLL (What A Good One Looks Like) progression, which shows students how thinking improves with precision.

    • Simple: A photorealistic image of a dog sitting in a park.
    • Secure: A photorealistic image of a dog positioned using the rule of thirds, warm colour palette, soft natural lighting, blurred background.
    • Greater Depth: A photorealistic image of a dog positioned using the rule of thirds, framed by tree branches, low-angle view, strong contrast, sharp focus on the subject, blurred background.

    Students can see and explain how photographic language turns an image from output into meaningful signs. That explanation is where literacy lives.

    When classroom talk begins to change

    Over time, classroom conversations shift.

    Instead of “I like it” or “It looks real,” students begin to say:

    • “The creator wants us to notice…”
    • “This detail suggests…”
    • “At first I thought…, but now I think…”

    These are reading sentences.

    Because images feel accessible, more students participate. The classroom becomes slower, quieter, and more thoughtful–exactly the conditions we want for deep comprehension.

    Visual literacy as a bridge, not an add-on

    Visual literacy is not an extra subject competing for time. It is a bridge, especially in the age of AI.

    By teaching students how to read images, schools strengthen:

    • reading comprehension
    • inference and evaluation
    • evidence-based reasoning
    • metacognitive awarenes

    Most importantly, students learn that literacy is not about rushing to answers, but about noticing, questioning, and constructing meaning.

    In a world saturated with AI-generated images, teaching students how to read visually is no longer optional.

    It is literacy.

    Author’s note: This article grew out of classroom practice and professional dialogue with a former college lecturer and professional photographer. Their contribution informed the discussion of visual composition, semiotics, and reflective image-reading, without any involvement in publication or authorship.

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  • Transform or be transformed: why digital strategy is now central to university survival

    Transform or be transformed: why digital strategy is now central to university survival

    This blog was kindly authored by Professor Amanda Broderick, Vice-Chancellor & President of the University of East London.

    Across higher education, there is a growing realisation that no cavalry is coming over the hill. Government support arrives with one hand while being withdrawn with the other, and universities are being asked to do more, for more people, with fewer resources. The choice facing the sector is stark: we must transform, or be transformed.

    At the University of East London (UEL), we have been on this journey for some time. In many ways, it was almost serendipitous that the University reached a point of existential pressure years before similar headwinds struck the rest of the sector. That early crisis forced us to confront difficult truths, make bold decisions, and learn quickly what genuinely works. As we approach the final quarter of our ten-year strategy, Vision 2028, our transformation is evident. We have seen a 25 percentage point improvement in positive graduate outcomes (the largest in England), an unparalleled rise in NSS rankings, a move from 90th to 2nd in the country for annual student start-ups, and a financial sustainability strategy which now places us as one of only 15 universities in the country without any external borrowing, whilst delivering a £350m investment programme.

    One area underpins each of these elements of our transformation: digital.

    When we launched Vision 2028, digital transformation sat at its core – not as a technology programme, but as a strategic enabler. Our ‘Digital First’ approach was designed to ensure that the entire UEL community has the tools, confidence and freedom to innovate and develop continuously. That philosophy has shaped everything we have done since.

    We have migrated from on-premises data centres to a cloud infrastructure, becoming the first UK university to be fully cloud-based in 2019. This has improved resilience, reduced environmental impact, and transformed how we use big data, from student retention predictive modelling to generative AI personal learning assistance to business intelligence and management information. We have invested in innovation spaces that allow students to build their own compute environments, redesigned our website to offer a more personalised browsing experience, and strengthened our digital architecture to mitigate downtime.

    Sustainability has been a constant consideration – reducing data centre usage and re-using compatible hardware wherever possible. We have also made key software available anytime, anywhere, and consolidated multiple CRM-type environments into a single solution.

    But digital transformation only matters if it serves a purpose. At UEL, that purpose is careers.

    How can we prepare students for future careers if we do not embed digital skills throughout their education? That question underpins our Mental Wealth and Professional Fitness curriculum, co-designed with employers to ensure students develop future-ready digital capabilities alongside cultural capital, confidence and professional inter-personal behaviours. Introductory modules are paired with sector-specific specialisation depending on course, with Level 3 and 4 modules already covering AI and digital tools for industry, digital identity and professional networks, data literacy, visualisation, and data ethics. Employability is not an add-on at UEL; it is embedded throughout the learner journey – which means that in-demand digital skills are too.

    Our ambition extends beyond our enrolled students. We want to spread transformation across our communities so that opportunity is not confined to campus. Click Start, delivered by Be the Business and the University of East London in partnership with the Institute of Coding, is a powerful example. This four-week course equips young Londoners aged 18–30 with digital marketing and data analysis skills, delivering more than 90 hours of teaching alongside industry-recognised certificates from Google and Microsoft. Since June 2023, more than 230 young people have completed the programme – 41% women, 88% from ethnic minority backgrounds, and 70% from East London. Graduates have progressed into jobs, apprenticeships and further study, with some joining UEL itself and others using the programme as a springboard to transform their lives elsewhere.

    This ethos of applied, inclusive innovation is reflected across our courses and underpinned by active research centres and innovation hubs, from our UK Centre for AI in the Public Sector and Centre for FinTech, to our Child Online Harms Policy Think Tank and Intelligent Technologies Research Group. Alongside our industry partnerships, this cutting-edge research ensures that what students learn remains relevant, responsible, and future-focussed.

    When a student’s whole experience is designed as digital first, technology stops being a blocker and becomes an enabler. It supports our shift from a ‘university-ready student’ model to becoming a ‘student-ready university’. UEL’s Track My Future app exemplifies this approach, bringing academic, careers, and support services into a single personalised platform. Putting students’ own data into their own hands and providing a digital route-map to university life, daily active use regularly exceeds 40,000 interactions – clear evidence that digital tools can strengthen engagement and belonging.

    Compared with when I joined UEL in 2018, the scale of the digital transformation today is unmistakable. This is what purposeful digital transformation looks like: not technology for its own sake, but a platform for inclusion, resilience and impact. In a sector facing relentless pressure, that is not optional – it is essential.

    Kortext is a HEPI Partner. Professor Amanda Broderick is speaking at Kortext LIVE on 11 February 2026 in London. Find out more and secure your seat here.

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  • Using generative tools to deepen, not replace, human connection in schools

    Using generative tools to deepen, not replace, human connection in schools

    Key points:

    For the last two years, conversations about AI in education have tended to fall into two camps: excitement about efficiency or fear of replacement. Teachers worry they’ll lose authenticity. Leaders worry about academic integrity. And across the country, schools are trying to make sense of a technology that feels both promising and overwhelming.

    But there’s a quieter, more human-centered opportunity emerging–one that rarely makes the headlines: AI can actually strengthen empathy and improve the quality of our interactions with students and staff.

    Not by automating relationships, but by helping us become more reflective, intentional, and attuned to the people we serve.

    As a middle school assistant principal and a higher education instructor, I’ve found that AI is most valuable not as a productivity tool, but as a perspective-taking tool. When used thoughtfully, it supports the emotional labor of teaching and leadership–the part of our work that cannot be automated.

    From efficiency to empathy

    Schools do not thrive because we write faster emails or generate quicker lesson plans. They thrive because students feel known. Teachers feel supported. Families feel included.

    AI can assist with the operational tasks, but the real potential lies in the way it can help us:

    • Reflect on tone before hitting “send” on a difficult email
    • Understand how a message may land for someone under stress
    • Role-play sensitive conversations with students or staff
    • Anticipate barriers that multilingual families might face
    • Rehearse a restorative response rather than reacting in the moment

    These are human actions–ones that require situational awareness and empathy. AI can’t perform them for us, but it can help us practice and prepare for them.

    A middle school use case: Preparing for the hard conversations

    Middle school is an emotional ecosystem. Students are forming identity, navigating social pressures, and learning how to advocate for themselves. Staff are juggling instructional demands while building trust with young adolescents whose needs shift by the week.

    Some days, the work feels like equal parts counselor, coach, and crisis navigator.

    One of the ways I’ve leveraged AI is by simulating difficult conversations before they happen. For example:

    • A student is anxious about returning to class after an incident
    • A teacher feels unsupported and frustrated
    • A family is confused about a schedule change or intervention plan

    By giving the AI a brief description and asking it to take on the perspective of the other person, I can rehearse responses that center calm, clarity, and compassion.

    This has made me more intentional in real interactions–I’m less reactive, more prepared, and more attuned to the emotions beneath the surface.

    Empathy improves when we get to “practice” it.

    Supporting newcomers and multilingual learners

    Schools like mine welcome dozens of newcomers each year, many with interrupted formal education. They bring extraordinary resilience–and significant emotional and linguistic needs.

    AI tools can support staff in ways that deepen connection, not diminish it:

    • Drafting bilingual communication with a softer, more culturally responsive tone
    • Helping teachers anticipate trauma triggers based on student histories
    • Rewriting classroom expectations in family-friendly language
    • Generating gentle scripts for welcoming a student experiencing culture shock

    The technology is not a substitute for bilingual staff or cultural competence. But it can serve as a bridge–helping educators reach families and students with more warmth, clarity, and accuracy.

    When language becomes more accessible, relationships strengthen.

    AI as a mirror for leadership

    One unexpected benefit of AI is that it acts as a mirror. When I ask it to review the clarity of a communication, or identify potential ambiguities, it often highlights blind spots:

    • “This sentence may sound punitive.”
    • “This may be interpreted as dismissing the student’s perspective.”
    • “Consider acknowledging the parent’s concern earlier in the message.”

    These are the kinds of insights reflective leaders try to surface–but in the rush of a school day, they are easy to miss.

    AI doesn’t remove responsibility; it enhances accountability. It helps us lead with more emotional intelligence, not less.

    What this looks like in teacher practice

    For teachers, AI can support empathy in similarly grounded ways:

    1. Building more inclusive lessons

    Teachers can ask AI to scan a lesson for hidden barriers–assumptions about background knowledge, vocabulary loads, or unclear steps that could frustrate students.

    2. Rewriting directions for struggling learners

    A slight shift in wording can make all the difference for a student with anxiety or processing challenges.

    3. Anticipating misconceptions before they happen

    AI can run through multiple “student responses” so teachers can see where confusion might arise.

    4. Practicing restorative language

    Teachers can try out scripts for responding to behavioral issues in ways that preserve dignity and connection.

    These aren’t shortcuts. They’re tools that elevate the craft.

    Human connection is the point

    The heart of education is human. AI doesn’t change that–in fact, it makes it more obvious.

    When we reduce the cognitive load of planning, we free up space for attunement.
    When we rehearse hard conversations, we show up with more steadiness.
    When we write in more inclusive language, more families feel seen.
    When we reflect on our tone, we build trust.

    The goal isn’t to create AI-enhanced classrooms. It’s to create relationship-centered classrooms where AI quietly supports the skills that matter most: empathy, clarity, and connection.

    Schools don’t need more automation.

    They need more humanity–and AI, used wisely, can help us get there.

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  • 5 tips for educators using video

    5 tips for educators using video

    Key points:

    When you need to fix your sink, learn how to use AI, or cook up a new recipe, chances are you searched on YouTube, TikTok, Instagram, or even Facebook–and found a video, watched it, paused it, rewound it, and successfully accomplished your goal. Why? Videos allow you to get the big picture, and then pause, rewind, and re-watch the instruction as many times as you want, at your own pace.  Video-based instruction offers a hands-free, multichannel (sight and sound) learning experience. Creating educational videos isn’t an “extra” for creating instruction in today’s world; it’s essential.

    As an educator, over the past 30 years, I’ve created thousands of instructional videos. I started creating videos at Bloomsburg University early in my career so I could reinforce key concepts, visually present ideas, and provide step-by-step instruction on software functionality to my students. Since those early beginnings, I’ve had the chance to create video-based courses for Lynda.com (now LinkedIn Learning) and for my YouTube channel.

    Creating instructional videos has saved me time, expanded my reach, and allowed me to have more impact on my students.

    Tips

    Creating educational videos over the years has taught me a number of key lessons that can help you, too, to create impactful and effective instructional videos.

    Be yourself and have fun

    The first rule is to not overthink it. You are not giving a performance; you are connecting with your students. In your instructional video, talk directly to your students and connect with them. The video should be an extension of your personality. If you tell silly jokes in class, tell silly jokes in the video. You want your authentic voice, your expressions, and your energy in the videos you create.

    And don’t worry about mistakes. When I first did Lynda.com courses, any small mistake I made meant we had to redo the take. However, over the years, the feedback I’ve received on the videos across LinkedIn Learning indicated that flawless performances were not the way to go because they didn’t feel “real.” Real people make mistakes, misspeak, and mispronounce words. Students want to connect with you, not with flawless editing. If you stumble over a word, laugh it off and keep going. The authenticity makes the student feel like you’re right there with them. If you watch some of my current LinkedIn Learning courses, you’ll notice some mistakes, and that’s okay–it’s a connection, not a distraction.

    Speak with the students, don’t lecture

    Video gives you the chance to have an authentic connection with the student as if you were sitting across the desk from them, having a friendly but informative chat. When filming, look directly into the camera, but don’t stare–keep it natural. In actual conversations, two people don’t stare at each other, they occasionally look away or look to the side. Keep that in mind as you are recording. Also make sure you smile, are animated, and seem excited to share your knowledge. Keep your tone conversational, not formal. Don’t slip into “lecture mode.” When you look directly into the camera and speak directly to the student, you create a sense of intimacy, presence, and connection. That simple shift from a lecture mindset to conversation will make the video far more impactful and help the learning to stick.

    Record in short bursts

    You don’t have to record a one-hour lecture all at once. In fact, don’t!  A marathon recording session isn’t good for you. It creates fatigue, mistakes, and the dreaded “do-over” spiral where one slip-up makes you want to restart the entire video. Instead, record in short bursts, breaking your content into segments. Usually, I try to record only about four to five minutes at a time.  The beauty of this technique is that if it’s completely a mess and needs a total “do over,” you only need to re-record a few minutes, not the entire lecture. This is a lifesaver. Before I began using this technique, I dreaded trying to get an entire one-hour lecture perfect for the recording, even though I was rarely perfect in delivering it in class. But the pressure, because it was recorded, was almost overwhelming.

    Now, I record in small segments and either put them all together after I’ve recorded them individually or present them to students individually. The advantage of individually recorded videos for students is that it makes the content easier to learn. They can re-watch the exact piece they struggled with instead of hunting through an hour-long video to find just what they need.

    Keep it moving

    A word of caution: We’ve all seen those videos. You know the ones: A tiny talking head hovers in the corner, reading every bullet point like it’s the audiobook version of the slide while the same slide just sits there for 15 minutes with no movement and no animation–not even a text flying in from the left. Ugh. Don’t let your visuals sit there like wallpaper. Instead, strive for movement. About every 30 seconds, give learners something new to look at. That could mean switching to the next slide, drawing live on a whiteboard, cutting to you speaking and then back to the slide, or animating an illustration to show movement. The point is that motion grabs attention. For a video, cut down your wall-of-text slides. Use fewer words and more slides. If you have 50 words crammed on one slide, split it into three slides. Insert an image, a chart, or even a simple sketch. If you’re teaching software, demonstrate it on screen instead of describing it in words. If you’re explaining a process, illustrate the steps as you go. The more movement, the more likely you are to hold the learner’s attention.

    Keep production simple

    The good news about creating educational videos is that you don’t need a big budget or a film crew to get started. All you need is a camera, a good microphone, and a simple video creation tool. Now, I would advise not using your laptop’s built-in camera or microphone. They don’t do the job well. You don’t want a grainy, pixelated picture or muffled audio. They make it too hard for students to focus and even harder for them to stay engaged. For video, I recommend using an external webcam. Even a modest one is a huge step up from what’s baked into most PCs. For audio, go with an external microphone, or even a good-quality headset. For the video tool, I have not found a simpler or easier-to-use tool than Camtasia’s free online, cloud-based tool. The free version lets you record your screen, capture your voice, do slight edits, and add backgrounds.  It is more than enough to create clear, useful videos that your students can actually learn from. Remember, the goal isn’t Hollywood production. You want clear, effective, and authentic instructional videos.

    By using these five tips, educators can create instructional videos to save time, expand their reach, and create greater impacts on their students. Grab a good camera, a decent headset, and free video software, and create your first instructional video. Just simply start. You’ll wonder why you waited so long.

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  • Digital by design: a vision of resilience for the sector of 2030

    Digital by design: a vision of resilience for the sector of 2030

    This blog was kindly authored by Heidi Fraser-Krauss, Chief Executive of Jisc.

    UK higher education is in a period of profound change. Artificial intelligence, data-driven research, and new models of learning are redefining what it means to deliver value to students and society. At the same time, institutions must navigate complex risks, from cyber threats to infrastructure demands, while responding to significant financial challenges and ensuring they remain agile, competitive, and a key delivery partner in supporting the government’s growth ambition. The question is not whether technology will transform education, but how we harness it to strengthen the sector for the long term.

    Jisc’s 2030 vision was developed with these realities in mind. Designed not as a digital revolution but rather an evolution, it ensures that Jisc is focused on providing the tertiary education, research, and innovation sectors across the UK with the secure infrastructure, digitally empowered leadership, economic sustainability, and agility needed to meet the next decade head-on. Here’s how its four pillars align with the sector’s most pressing needs.

    1. Sector leadership and strategic influence

    For universities and colleges to thrive in a rapidly evolving digital landscape, the sector needs a strong, informed voice influencing national policy. Decisions on AI governance, cybersecurity standards, and digital research infrastructure will shape the conditions for innovation and competitiveness. By ensuring these policies are informed by evidence-based research and insights into how digital, data, and technology are experienced and managed across education and research, the sector can secure investment, reduce risk, and create an environment where technology drives better outcomes for learners, researchers, and the broader economy.

    That voice must also ensure smart use of data – where Jisc’s role as the designated data body, through its merger with the Higher Education Statistics Agency, helps reduce burden and improve insight. Strategic partnerships, such as the recent agreement with the Association of Colleges and collaborations with Colleges Wales, Ufi VocTech Trust, and Universities UK strengthen advocacy and ensure digital priorities reflect the needs of learners and educators across all nations. Over the next five years, Jisc’s deeper engagement with government, funders, and senior leaders will be critical to embedding digital thinking into policy and strategy across the UK.

    2. Focus on sector-wide challenges

    Digital infrastructure underpins everything from research breakthroughs to everyday learning. As demand for bandwidth and data grows, driven by AI, high-performance computing, and new learning models, the sector needs networks and security systems that can scale.

    At the same time, financial pressures compound these challenges. Rising costs, resource constraints, and the need to keep pace with digital technology affects all institutions. Collective negotiations with major vendors can deliver significant savings, while shared services for cloud, cybersecurity, and data management reduce duplication and free up resources for teaching and research.

    These efficiencies work only if the underlying infrastructure is strong. The Janet network remains the backbone for UK education and research. Projects such as the Isambard AI supercomputer at the University of Bristol highlight the scale of future requirements: vast data flows and advanced computing power that demands resilient, high-capacity connectivity. Sustaining and strengthening Janet, alongside robust cybersecurity measures, ensures institutions can innovate confidently, protect intellectual property, and remain globally competitive. This is about creating the conditions for progress, not just for today, but for the next decade.

    3. Financial sustainability and commercial focus

    To continue delivering value and protect essential services, Jisc must operate sustainably. For 12 years, Jisc has operated on flat cash funding, even as demand for digital infrastructure and services has grown exponentially. To continue meeting members’ evolving needs, Jisc is becoming more commercially focused, developing sustainable models and exploring new ways to support members. This approach ensures that collaboration continues to be at the heart of all that we do, and that every institution, regardless of size, can access the tools and infrastructure needed to succeed.

    4. Operational excellence and agility

    Embedding digital into strategy also means ensuring the organisations that support education are fit for the future. Jisc is investing in its own products, services, and back-office systems to deliver a more streamlined, joined-up experience for members. By removing silos and modernising processes, we aim to save money and provide greater value, while responding quickly to emerging needs. These changes are designed to make it easier for institutions to access the infrastructure, data, and expertise they need, without complexity or duplication, helping the sector focus on what matters most: teaching, research, and innovation.

    Looking ahead to 2030

    At Jisc, we are fully aware of the scale of the challenges facing the sector, and we take our supportive responsibilities seriously. The next five years will define how UK tertiary education responds to the accelerating pace of digital change. Our commitment is not only to help institutions meet those challenges, but to ensure they can seize the opportunities that digital and data present, helping students, researchers, and all of us across the UK to prosper in the future.

    We will work with our members to create the right conditions for innovation: secure infrastructure, smarter use of data, and a culture that sees digital as integral to strategy, not an add-on. By working collectively and planning for scale, we can turn complexity into opportunity and ensure learners and researchers benefit from world-class technology.

    The challenge is clear, and so is our ambition: to make digital transformation the foundation for the sector’s future.

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  • AI use is on the rise, but is guidance keeping pace?

    AI use is on the rise, but is guidance keeping pace?

    Key points:

    The rapid rise of generative AI has turned classrooms into a real-time experiment in technology use. Students are using AI to complete assignments, while teachers are leveraging it to design lessons, streamline grading, and manage administrative tasks.

    According to new national survey data from RAND, AI use among both students and educators has grown sharply–by more than 15 percentage points in just the past one to two years. Yet, training and policy have not kept pace. Schools and districts are still developing professional development, student guidance, and clear usage policies to manage this shift.

    As a result, educators, students, and parents are navigating both opportunities and concerns. Students worry about being falsely accused of cheating, and many families fear that increased reliance on AI could undermine students’ critical thinking skills.

    Key findings:

    During the 2024-2025 school year, AI saw rapid growth.

    AI use in schools surged during the 2024-2025 academic year. By 2025, more than half of students (54 percent) and core subject teachers (53 percent) were using AI for schoolwork or instruction–up more than 15 points from just a year or two earlier. High school students were the most frequent users, and AI adoption among teachers climbed steadily from elementary to high school.

    While students and parents express significant concern about the potential downsides of AI, school district leaders are far less worried.

    Sixty-one percent of parents, 48 percent of middle school students, and 55 percent of high school students believe that increased use of AI could harm students’ critical-thinking skills, compared with just 22 percent of district leaders. Additionally, half of students said they worry about being falsely accused of using AI to cheat.

    Training and policy development have not kept pace with AI use in schools.

    By spring 2025, only 35 percent of district leaders said their schools provide students with training on how to use AI. Meanwhile, more than 80 percent of students reported that their teachers had not explicitly taught them how to use AI for schoolwork. Policy guidance also remains limited–just 45 percent of principals said their schools or districts have policies on AI use, and only 34 percent of teachers reported policies specifically addressing academic integrity and AI.

    The report offers recommendations around AI use and guidance:

    As AI technology continues to evolve, trusted sources–particularly state education agencies–should provide consistent, regularly updated guidance on effective AI policies and training. This guidance should help educators and students understand how to use AI as a complement to learning, not a replacement for it.

    District and school leaders should clearly define what constitutes responsible AI use versus academic dishonesty and communicate these expectations to both teachers and students. In the near term, educators and students urgently need clarity on what qualifies as cheating with AI.

    Elementary schools should also be included in this effort. Nearly half of elementary teachers are already experimenting with AI, and these early years are when students build foundational skills and habits. Providing age-appropriate, coherent instruction about AI at this stage can reduce misuse and confusion as students progress through school and as AI capabilities expand.

    Ultimately, district leaders should develop comprehensive AI policies and training programs that equip teachers and students to use AI productively and ethically across grade levels.

    Laura Ascione
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  • Digital Tools for Note Taking and PKM – Teaching in Higher Ed

    Digital Tools for Note Taking and PKM – Teaching in Higher Ed

    My friend Kerry left me one of her infamous voice messages today. These are the fancy kinds that go beyond voice mail, but instead show up in my text messages app, only I get to hear her voice. Apple nicely transcribes these messages for me, too, though it cracks me up what it sometimes thinks Kerry says in these messages. This time, it thought that she called me “Fran,” but instead she was calling me, “friend.”

    She’s going to be on sabbatical next semester, so is wanting to get going with a note-taking application. In my over two decades in higher education, I’ve never had a sabbatical, but I imagine that if that time were to come, I would really want to get a jump on the organization side of things, as well. I’ve enjoyed following Robert Talbert’s transparency around his sabbatical as he seeks to be intentional with his sabbatical, even subtitling one of his blogs: Or, how my inherent laziness has made me productive on a big project. He also suggests that we regularly carve out time to reflect on whether where we are spending our time and devoting our attention is in alignment with the things that are most important to us.

    I like reading Robert’s blogs in which he geeks out about the tools that he uses. Like me, he’s evolved what applications he uses, most recently documenting the digital tools he is using for his own sabbatical project (part 1 and part 2).

    Even though Kerry asked me about my suggestions for a note-taking tool, I can’t help but zoom back out and make sure we both understand that bigger picture. I can’t really answer the question as to giving my advice related to taking notes, unless I’m sure she’s got the other vital pieces going that she will need to maximize her time. Not to mention, giving herself permission to wander and be entirely “unproductive” for at least some portions of this time away.

    The Tools

    For any sabbatical, I’m making an assumption that at least some portion of it will involve doing research and some writing.

    References Manager

    There are many good references managers out there. I haven’t changed mine really ever, since landing on Zotero many years ago. I didn’t have a references manager when doing my master’s or doctorate, so when I talk about the power of one, I tend to sound like an old person talking about having to walk uphill to get to school, both ways, with a bit of “get off my lawn” sentiment, throughout.

    Hands down, if you’re going to research, or plan on doing some academic writing, it makes zero sense not to be capturing sources in a references manager. Off the top of my head, be sure you know how to:

    1. Add sources using the Zotero extension installed on your preferred browser. Zotero must be running in the background as an application, at least for how I have things configured on my Mac, but it will nudge you, if you forget.
    2. I choose to check each source, as I add it, though this isn’t necessary. Zotero is great because much of the time, it will grab the metadata associated with the item you have saved, including the author’s name, date of publication, URL, etc. However, sometimes websites don’t have their information set up such that some of the information gets missed. I would always way rather just add it, manually, in the moment I’m already on that page. Others just figure they’ll wait to see if they actually wind up citing that source.
    3. Cite sources within your word processor, which for me is Microsoft Word. I use the toolbar for Zotero when I need to cite a source, as I’m writing, I easily search for it, and then press enter and away I go.
    4. Create a bibliography using Zotero. This would have been a game changer, had I had this tool when I was in school. Some years back, they made this auto-update so each time you add a new source, your references list automatically updates, as you go. If you delete a sentence containing a citation, it is removed from your references. So cool.

    Digital Bookmarks

    For any other type of digital resource (ones I doubt I’ll wind up citing in formal, academic writing), I save them to my preferred digital bookmarking tool: Raindrop.io. I can’t even imaging doing any computing in any context without having a bookmarking tool available to save things to…

    I’ve got collections (folders) for Teaching in Higher Ed, AI (this one is publicly viewable as a page, and as an RSS feed), Teaching, Technology, and ones for specific classes, just as an example. Take a look at my Raindrop blog post, which talks more about why I recommend it and how I have it set up to support my ongoing learning.

    Note-Taking

    Now we’re finally getting around to Kerry’s original question. I had to first talk about a references manager and digital bookmarks, since I wanted to ensure that she will have at least Zotero (or similar tool) for the formal, academic writing, including citing sources and doing the necessary sense-making required for academic writing.

    Chicken Scratch (Quick Capture) Notes

    There’s a place in many people’s lives for quick-capture notes. You’re talking to someone and they mention something you want to remember. You don’t first want to figure out where to put that information; you just want to grab it, like you might a sticky note in an analog world.

    Hands down, for me, that app is Drafts.

    At this exact moment, I would consider myself a “bad” Drafts user. I’ve got 172 “chicken scratch” notes sitting, unorganized. That said, I don’t put anything there that it would be terrible if the notes got “lost” from my attention for a while. These past three months, I was a keynote speaker at a conference in Michigan, and did a pre-conference workshop for the POD Conference in San Diego. Being on the road means lots of opportunities for me to hear about something, or have an idea, that I just want to quickly capture in that moment, and get back to, later.

    I submitted grades late last night, so today means getting back to a more regular GTD weekly review, at which point I’ll be emptying my inboxes, including my Drafts inbox. If you’re curious about the process I use to accomplish this, I couldn’t recommend more another post by Robert Talbert: How and why to achieve inbox zero.

    One other thing I’ll mention about Drafts is that it is incredibly easy to get started with… and once you’re up and running, there are a gazillion bells and whistles you could discover, should you want to get even more benefit out of it.

    One fun thing I enjoy is using an app on my iPhone and Apple Watch (via a complication) called Whisper Memos, which lets me record a voice memo and then receive an email with my “ramblings turned into paragraphed articles.” However, instead of cluttering up my email inbox, I have it set up to send an email to my special Drafts email, which then sends the transcription (broken into paragraphs, which I find super handy) to my Drafts inbox, for later use.

    I also keep a Drafts workspace (not in my inbox) dedicated just to my various checklists, such as packing lists, a school departure checklist (which we haven’t had to use in a long while, since our kids keep getting older and more independent), password reset checklist (where are all of the different apps and services I need to visit, anytime I get forced to reset my password for work), and a checklist for all the places I have to change my profile photo, anytime in the future I get new headshots or otherwise want a change.

    Primary Note Taking Tool

    Now we’re finally to the real question Kerry was asking: What app should she use to take notes? Well, as I mentioned, I actually have a fair amount of them, but since I’m at least attempting to stay focused on the sabbatical needs, I had better get back to it now.

    My primary notetaking tool these days is Obsidian. Robert Talbert again does a great job of articulating how and why he uses Obsidian. A big driver for me is that if I ever want to switch things up down the road, I don’t have to worry about how to get stuff out of Obsidian. As it is just a “wrapper” or a “view” of plain text files that are sitting on my computer. If they ever decided to jack their users around by significant increases to their pricing model, without the added value one might expect, I wouldn’t be locked in at all. There are plenty of other note-taking apps that would know how to “talk” to and display the plain text files on my computer in a similar fashion as Obsidian.

    That said, some people might be intimidated by becoming familiar with writing using Markdown, which is the formatting used in plain text files. Since the text is “plain,” that means you can only make something bold by using other indicators that a given word or phrase is meant to be bold. However, I find you could get up and running with the vast majority of Markdown in less than five minutes, such that this isn’t as big a barrier as it might seem.

    As an example, I don’t have to type the formatting for bold, I can just high light those words and then press command-B on my keyboard, same as I would in any other writing context. Headings are just indicated by typing the number of pound signs at the start of a line. So the heading for this section of this post required four number signs, because it is a heading 4 (H4), and then I just press space and type the subheading, like normal.

    That said, you couldn’t go wrong with Bear, or Craft, if you aren’t as concerned about being able to get stuff easily out of them, should you ever change note taking tools in the future.

    Getting Started

    The tool we select is important, yes. But more important is how we set them up to help us achieve the intended purpose of wanting a note taking tool in the first place.

    Daily notes. I am not as disciplined about this as I once was, but hope to get back to doing daily notes. Carl Pullein talks about the history of the “daily note” and how to use them to keep yourself organized and focused.

    Meeting notes. I am close to 100% disciplined about taking notes during meetings (really helps me stay focused, as otherwise my mind can wander quite a bit), or when attending conferences or webinars. I keep a consistent naming convention for these notes, as follows: yyyy-mm-dd-meeting-name and then move the note to a dedicated folder in Obsidian. I only move the note into the follow after I have reviewed it for any “open loops” and then captured those in my task manager.

    Other writing. I’ve got folders for other types of writing that I do, as well. To me, the key is having a “home” for where things belong and to be super disciplined about consistent naming conventions, so I don’t get overwhelmed with the messiness of the creative process.

    That said, Kerry will first want to play around with any note taking tool she is considering just at the note level, before she worries about how she will organize things. Otherwise, it is way too easy to get overwhelmed and not cross over the finish line of getting started using a note taking tool, consistently.

    The University of Virginia Library offers ideas for how to organize research data across all disciplines. Don’t miss the part where they say to write down your organization system before you start, or in my experience, it is too easy to forget how I set things up in the first place.

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  • The New Rules of College Digital Advertising

    The New Rules of College Digital Advertising

    This post was co-authored with Vaughn Shinkus.

    Colleges are still trying to catch up to the digital expectations of students.

    Today’s college search usually begins with a scroll. Students meet their future alma mater while still in pajamas, thumb hovering over TikTok dorm tours, YouTube “day-in-the-life” videos, and Instagram stories showing everything from campus squirrels to club fairs.

    While most college marketers recognize the importance of meeting students in digital spaces, data show that many institutions are still catching up to student behavior.

    Nearly two-thirds of students use Instagram daily, yet only about half report seeing college content in their feeds, according to the 2025 E-Expectations Trend Report. That gap, between where students spend their time and where colleges spend their dollars, tells the real story.

    Here are several other significant places where student behavior and institutional strategies do not align:

    • Students live on TikTok and YouTube, but institutions continue to invest more heavily in Facebook and Instagram.
    • Retargeting and program-specific ads perform best because they feel relevant, yet many colleges default to broad brand campaigns.
    • Search and AI-driven summaries are now leading sources of inquiry traffic, but SEO remains underfunded or outdated.

    Today, nearly every institution had allocated a budget to digital channels, including search ads, Instagram, Facebook, display ads, YouTube, and more (according to our 2025 survey of marketing and recruitment practices). But sending dollars into platforms without a data-backed strategy is a recipe for low return.

    Channel usage and effectiveness

    The first step toward a smarter strategy is aligning digital investments with students’ stages of college planning. Timing matters.

    • 9th graders are dreamers; they are just beginning to imagine college. This is the moment for creative, curiosity-driven content on TikTok and other emerging platforms.
    • 10th graders start exploring and comparing. Snapchat, X (formerly Twitter), and BeReal are gaining influence as they seek authentic glimpses of campus life.
    • 11th and 12th graders shift into decision mode. They are more likely to engage with YouTube, Instagram, and even Facebook, the places where institutions focus most on deadlines, financial aid, and event promotions.

    Let’s examine how college and student perspectives align, and where they diverge. This table shows the usage and effectiveness of recruitment practices by recruitment professionals (taken from the 2025 Marketing and Recruitment Practices Report). The last column shows the student perspective as captured by the 2025 E-Expectations Report.

    Channel Usage by Colleges Effectiveness Student Perspective
    Instagram Private: 93%
    Public: 87%
    Two-Year: 86%    		 Private: 94%
    Public: 90%
    Two-Year: 100%    		 63% of users use Instagram daily, but only 53% view college content.
    Facebook Private: 81%
    Public: 89%
    Two-Year: 85%    		 Private: 77%
    Public: 76%
    Two-Year: 100%    		 Still visible, but less influential than Instagram or TikTok.
    YouTube Private: 81%
    Public: 66%
    Two-Year: 57%    		 Private: 79%
    Public: 86%
    Two-Year: 100%    		 Campus vlogs and videos help students picture themselves there.
    TikTok Private: 60%
    Public: 35%
    Two-Year: 71%    		 Private: 82%
    Public: 74%
    Two-Year: 80%    		 One of the most influential platforms for discovery and decision-making.
    Display Ads Private: 94%
    Public: 77%
    Two-Year: 86%    		 Private: 90%
    Public: 97%
    Two-Year: 100%    		 Students often click Google ads when researching programs.
    Retargeting Private: 86%
    Public: 69%
    Two-Year: 80%    		 Private: 98%
    Public: 86%
    Two-Year: 94%    		 Highly effective when personalized, reminders drive action.

    Takeaway: To reach students where they truly live online, colleges must rebalance their media mix toward video-rich, mobile-first channels and strengthen SEO to connect organically within search and AI summaries.

    Messaging strategies that move students

    Ask any university marketing team what they promote and you will hear familiar answers: brand identity, application deadlines, campus events, student stories, program highlights. All important, but not all equally effective.

    Students tell us that the ads that stick are the ones that feel authentic and actionable.
    They click when they see a major they are interested in. They re-engage when retargeted about unfinished applications. They respond when the tone feels genuine, not corporate.

    Breaking through the stream of memes, influencers, and viral videos requires messaging that is personal and specific, not just polished.

    Messaging Strategy Usage by Colleges Effectiveness Student Perspective
    Application Deadlines Private: 98%
    Public: 92%
    Two-Year: 85%    		 Private: 94%
    Public: 93%
    Two-Year: 100%    		 Clear calls-to-action work. Deadline ads drive clicks and completions.
    Brand Messaging Private: 98%
    Public: 95%
    Two-Year: 86%    		 Private: 94%
    Public: 94%
    Two-Year: 100%    		 Generic brand ads rarely move the needle; authenticity wins.
    Event Promotions Private: 94%
    Public: 86%
    Two-Year: 86%    		 Private: 96%
    Public: 97%
    Two-Year: 100%    		 Virtual tours and admitted-student events generate strong engagement.
    Student/Alumni Stories Private: 81%
    Public: 83%
    Two-Year: 57%    		 Private: 95%
    Public: 93%
    Two-Year: 100%    		 “Show me real people.” Authentic voices and outcomes persuade.
    Program-Specific Ads Private: 87%
    Public: 89%
    Two-Year: 57%    		 Private: 95%
    Public: 100%
    Two-Year: 75%    		 Students want details about majors, careers, and outcomes.

    Bottom line: High-level brand awareness campaigns rarely convert. The content that wins is personal, timely, and anchored in real stories and next steps.

    The big picture

    So what does this all mean for your digital strategy? The short version: ads work best when they meet students where they are, in their social feeds, with content that feels personal, genuine, and video-forward.

    Here is how to make that happen:

    • Invest where students spend time: TikTok, YouTube, and optimized search.
    • Fix underperforming channels: Strengthen Instagram with better creative and stage-specific targeting.
    • Use personalization and retargeting: Move students from “just browsing” to “taking action.”
    • Tell real stories: Highlight authentic student voices and tangible outcomes, not just taglines.

    Students now research colleges the same way they manage the rest of their digital lives; they discover, compare, and decide while scrolling. A TikTok video might spark curiosity, a YouTube vlog might help them imagine themselves on campus, and a retargeted ad might push them to finally hit “apply.”

    They are already making college decisions mid-scroll. To earn their attention and their trust, colleges must meet them there, with relevance, immediacy, and authenticity.

    Ultimately, it is not about clicks for the sake of clicks. It is about connection, belonging, and the digital moments that turn curiosity into commitment.

    Talk with our marketing and recruitment experts

    RNL works with colleges and universities across the country to ensure their marketing and recruitment efforts are optimized and aligned with how student search for colleges.  Reach out today for a complimentary consultation to discuss:

    • Student search strategies
    • Omnichannel communication campaigns
    • Personalization and engagement at scale

    Request now

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  • Multilingual Digital Education: Expanding Access Beyond English

    Multilingual Digital Education: Expanding Access Beyond English

    For decades, English has dominated the global education ecosystem. While it opened doors for many, it also quietly closed them for millions of learners worldwide who do not speak English fluently. In today’s digital era, however, a powerful shift is underway. Multilingual digital education is emerging as one of the most effective ways to make learning inclusive, accessible, and equitable for students everywhere.

    As digital platforms expand, education is no longer limited by geography—but language remains a critical barrier. Addressing this challenge is key to ensuring that digital education truly serves everyone, not just a privileged few.

    The Global Language Barrier in Education

    Despite the growth of online learning, a large portion of educational content is still delivered primarily in English. This creates obstacles for:

    • Non-English speakers
    • First-generation learners
    • Students from rural or underserved regions
    • Migrant and refugee communities
    • Adult learners returning to education

    When learners struggle to understand the language of instruction, comprehension drops, confidence weakens, and dropout rates increase. Research consistently shows that students learn more effectively when taught in a language they understand well, especially during foundational learning years.

    This is where multilingual digital education becomes transformative.

    What Is Multilingual Digital Education?

    Multilingual digital education refers to online learning platforms, tools, and content that are available in multiple languages, enabling learners to access the same high-quality education regardless of their primary language.

    This includes:

    • Video lessons with multilingual narration or subtitles
    • Localized course materials and assessments
    • AI-powered real-time translation
    • Voice-based learning in native languages
    • Digital textbooks adapted for cultural relevance

    By removing language as a barrier, digital education becomes more inclusive and learner-centric.

    Why Multilingual Learning Matters in the Digital Age

    1. Improves Learning Outcomes

    Students understand concepts faster and retain knowledge better when learning in their strongest language. Multilingual content reduces cognitive overload caused by language translation in the learner’s mind.

    2. Builds Learner Confidence

    When students can participate without fear of language mistakes, engagement increases. This leads to better classroom interaction, stronger self-expression, and improved academic performance.

    3. Supports Educational Equity

    Language-inclusive platforms help bridge the gap between privileged learners and underserved communities, ensuring that access to quality education does not depend on language fluency.

    4. Encourages Lifelong Learning

    Adults who may have avoided education due to language barriers are more likely to upskill and reskill when learning is available in familiar languages.

    The Role of Technology and AI in Multilingual Digital Education

    Modern technologies are accelerating the growth of multilingual education globally.

    AI and Machine Translation

    AI-driven tools now enable accurate content translation, voice-to-text learning, and real-time subtitles—making multilingual delivery scalable and cost-effective.

    Adaptive Learning Platforms

    These platforms detect learner preferences and automatically deliver content in the most suitable language, improving personalization.

    Mobile Learning Apps

    Mobile-first platforms offering multilingual support are reaching learners in remote and low-connectivity regions, ensuring education is portable and flexible.

    Global Impact of Multilingual Digital Learning

    Across continents, multilingual digital education is driving meaningful change:

    • Higher enrollment and completion rates
    • Increased learner confidence and participation
    • Better understanding of technical and vocational skills
    • Preservation of linguistic and cultural diversity

    Education delivered in multiple languages does not reduce global unity—it strengthens it.

    Challenges in Implementing Multilingual Education

    Despite its benefits, several challenges remain:

    • Maintaining accuracy and quality across languages
    • Addressing cultural nuances in learning content
    • Training educators for multilingual digital delivery
    • Balancing scalability with local relevance

    However, advancements in AI, open educational resources, and global collaboration are rapidly solving these challenges.

    The Future of Global Digital Education

    The future of education is not English-only—it is inclusive, multilingual, and learner-driven. As digital learning becomes mainstream, platforms that prioritize language accessibility will lead the next generation of education.

    Global education organizations, EdTech companies, and institutions are increasingly recognizing that language inclusion is not optional—it is essential.

    When students learn in a language they understand, education becomes more than information delivery; it becomes empowerment.

    Frequently Asked Questions (FAQs)

    Why is multilingual digital education important?

    It removes language barriers, improves comprehension, and ensures equitable access to education for non-English speakers worldwide.

    Is multilingual education effective online?

    Yes. Studies show learners perform better academically and remain more engaged when learning is available in a familiar language.

    How does AI support multilingual learning?

    AI enables real-time translation, speech recognition, adaptive content delivery, and personalized multilingual learning experiences.

    Does multilingual education replace English learning?

    No. It supports foundational learning while allowing learners to gradually develop additional language skills, including English.

    Conclusion

    Multilingual digital education is transforming global learning by breaking language barriers and opening doors for millions of learners worldwide. It ensures that education is not limited by language, geography, or background. As digital platforms expand, embracing language diversity will be essential to building a fair, effective, and truly global education system.

    Education should be understood by all, because access to knowledge should never depend on the language someone speaks.

    Find more edutech articles and news on this website

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  • Over 1 Million Digital Badges on Offer in the U.S.

    Over 1 Million Digital Badges on Offer in the U.S.

    The number of unique credentials available in the U.S. has hit a whopping 1.8 million, with digital badges making up more than a million of those offerings, according to the latest report from Credential Engine.

    The report, released Tuesday, is the fifth in a series tracking the ever-growing variety of credentials and providers cropping up across the country. Much has changed since the last “Counting Credentials” report came out in 2022. Credential Engine, a nonprofit dedicated to charting the credentialing landscape, improved its data collection and analysis strategies to remove duplicate programs from data samples and include more badge programs, allowing for more accurate counts and estimates, the new report noted.

    Researchers found that 134,491 credential providers—including colleges and universities, online course providers, nonacademic organizations, industry associations, and state governments—are producing 1,850,034 credentials, up from the 1,076,358 they counted in 2022. The report also found that education institutions, federal and state governments, and employers spend $2.34 trillion annually on these programs.

    Credential Engine identified 1,022,028 badges and 486,352 certificates among the total. Degrees, by comparison, made up a smaller fraction of the credentials tallied this year: 264,099 programs. The number of secondary school diplomas and occupational licenses followed behind at 52,948 and 14,331, respectively. Certifications, which require an exam and tend to expire, reached 6,892. And the organization found 3,384 microcredentials, defined by the report as any program offered by a massive open online course provider that embraces the label.

    Scott Cheney, CEO of Credential Engine, said the standout finding to him is “there’s a lot of digital badging being done,” a trend he finds “really exciting.” He believes digital badges, which recognize specific skills and achievements for display online, allow workers to better showcase their learning at a more granular level. For example, badges, whether offered by academic or nonacademic providers, can recognize skill sets ranging from emotional intelligence to mastery of a coding language, or even completion of a class or work project.

    Badges are “being used to recognize smaller and smaller learning activity and skill attainment,” Cheney said. “We’re really seeing a moment when we’re able to actually count all learning,” which helps job applicants “tell their story.”

    He said the digital format not only makes it easier for learners to keep track of everything they’ve achieved but also simplifies sharing that information with employers.

    A companion report, released with the credential count, suggests innovations like digital wallets and learning and employment records, which can house collections of digital credentials, are making badges more shareable and verifiable for employers.

    “The technology is there,” Cheney said.

    He also believes the ascent of skills-based hiring is driving the trend. More than half of states have adopted policies to encourage hiring according to skills, not degrees, and a slew of employers have embraced the approach. He’d like to see more employers with these goals use digital credentials to assess what candidates bring to the table.

    Because of these recent developments, “all of a sudden, we need ways to actually unpack the skills that you have in a traditional degree or certificate or certification” and to offer ways to learn and prove mastery of “a single skill,” he said.

    Though the report doesn’t delve into it, he noted that traditional higher education institutions are increasingly interested in offering nondegree credentials, which he believes is “healthy for them and their relationship with their students” as demand for such programs ramps up.

    But Cheney also understands colleges’ trepidation about entering a nondegree credential landscape that’s crowded, “very chaotic” and “difficult to navigate.” He acknowledged that some academics have healthy concerns about the quality of proliferating nondegree credentials as nonacademic credential providers grow their offerings at fast clip. The trend “does cry out for … a greater need to have reliable outcome data and impact data,” he said. Members of the committee engaged in the negotiated rule-making process for Workforce Pell, a new federal financial aid option for short-term job training programs, are wrestling with such questions about how to ensure credentials’ quality this week.

    Nondegree credentials aren’t “going to be right for every institution, and that’s OK, too,” Cheney said. “We need some that are still going to be very traditional … because the economy needs that as well.” At the same time, higher ed institutions “need to recognize where the marketplace is, where the zeitgeist is in the country and what employers need and what students are calling out for.”

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