Tag: Mature

  • How to build smarter partnerships and become digitally mature

    How to build smarter partnerships and become digitally mature

    Across higher education, the conversation about digital transformation has shifted from connection to capability. Most universities are digitally connected, yet few are digitally mature

    The challenge for 2026 and beyond is not whether institutions use technology, but whether their systems and partnerships enable people and processes to work together to strengthen institutional capacity, learner outcomes, and agility.

    Boundless Learning’s 2025 Higher Education Technology and Strategy Survey underscored this transition: 95 per cent of leaders said education management partners are appealing, and one in three described them as extremely so. Yet preferences are changing: modular, fee-for-service models now outpace traditional revenue-sharing arrangements, signalling a desire for flexibility and control.

    Leaders also identified their top digital priorities: innovation enablement (53 per cent), streamlined faculty workflows (52 per cent), and integrated analytics (49 per cent). In other words, universities are no longer chasing the next platform; they want systems that think.

    Why systems thinking matters

    That idea is central to Suha Tamim’s workAnalyzing the Complexities of Online Education Systems: A Systems Thinking Perspective. Tamim frames online education as a dynamic ecosystem in which a change in one area, such as technology, pedagogy, or management, ripples through the whole. She argues that institutions need a “systems-level” view connecting the macro (strategy), meso (infrastructure and management), and micro (teaching and learning) layers.

    Seen this way, technology decisions become design choices that shape the culture and operations of the institution. Adopting a new platform is not just an IT project; it influences governance, academic workload, and the student experience. The goal is alignment across those levels so that each reinforces the other.

    Boundless Learning’s Learning Experience Suite (LXS) embodies this approach. Rather than adding another application into an already crowded environment, LXS helps institutions orchestrate existing systems; linking learning management, analytics, and support functions into a cohesive, secure, learner-centred framework. It is a practical application of systems thinking: connecting data flows, surfacing insights, and simplifying faculty and learner experiences within one integrated ecosystem.

    From outsourcing to empowering

    The shift toward integration also reflects how universities engage external partners. Jeffrey Sun, Heather Turner, and Robert Cermak, in the American Journal of Distance Education, describe four main reasons universities outsource online programme management:

    1. Responding quickly to competitive pressures
    2. Accessing upfront capital
    3. Filling capability gaps
    4. Learning and scaling in-house

    Their College Curation Strategy Framework shows that institutions partner with external providers not just to cut costs, but to build strategic capacity. Yet the traditional online programme management (OPM) model anchored in long-term revenue-share contracts has drawn criticism for limited transparency and loss of institutional control.

    Our own data suggest that this critique is reshaping practice. Universities are moving from outsourcing to empowerment: seeking education-management partners who enhance internal capability rather than replace it. This evolution from OPMs to Education Management Partners (EMPs) marks a decisive turn toward collaborative, capacity-building relationships.

    The Learning Experience Suite fits squarely within this new model. It is not an outsourced service but a connective layer that enables institutions to manage their digital ecosystems with greater visibility and confidence, while benefiting from enterprise-grade integration and security. It exemplifies partnership as a mechanism for capability development, a move from vendor management to shared strategic growth.

    From fragmentation to fluency

    Many institutions remain caught in what might be called digital fragmentation. According to our survey, nearly half of leaders cite data silos, disconnected platforms, and inconsistent learner experiences as obstacles to progress. These are not isolated technical issues; they are systemic barriers that affect pedagogy, governance, and institutional trust.

    Tamim’s framework describes such misalignment as a state of “disequilibrium.” Overcoming it requires coordinated action across levels, strategic clarity from leadership, adaptive management structures, and interoperable tools that make integration intuitive. The objective is to move from digital accumulation to digital fluency: an environment where technology amplifies, rather than fragments, institutional purpose.

    Learning Experience Suite was designed precisely to address this. By connecting data across systems, enabling real-time analytics, and ensuring accessibility through a mobile-first design, it allows institutions to build coherence and confidence in their digital operations.

    Building partnerships

    The next phase of higher education technology will be defined not by the tools universities choose but by the quality of their partnerships. As scholars like Sun have cautioned, outsourcing core academic functions without transparency can erode autonomy. Conversely, partnerships grounded in shared governance, open data, and aligned values can strengthen the academic mission.

    For Boundless Learning, this is the central opportunity of the coming decade: to reimagine partnership as co-evolution. Universities, platforms, and providers function best as interconnected actors within a wider learning system, each contributing expertise to advance learner success and institutional resilience.

    When viewed through a systems lens, the key question is no longer whether universities should outsource, but how they orchestrate. The challenge is to combine the right mix of internal capability, external expertise, and interoperable technology to achieve measurable impact.

    That, ultimately, is what digital maturity requires and what the Learning Experience Suite was designed to deliver.

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  • Falling mature student numbers requires policy action

    Falling mature student numbers requires policy action

    With the clutch of traditional higher education flashpoints accounted for – A level and SQA results days, and a clearing season reported to be particularly fraught in some quarters – the summer is drawing to a close, and a new academic year is upon us.

    Eighteen year olds are set to attend universities in record numbers, up 5 per cent year on year and up 27 per cent since 2016. This is unquestionably a great thing. However, it masks a troublingly stubborn decline in mature students numbers.

    In recent years, the number of these students – those aged 21 and over (or 25 and over for postgraduate study) – entering UK universities has been falling at an alarming rate, down by 26 per cent since 2016 according to UCAS. This decline may sound like a niche concern, but it carries big implications for the wider economy, for skills shortages, and for the prospects of people who want to reskill later in life.

    As the government prepares to roll out the Lifelong Learning Entitlement (LLE), there’s an urgent opportunity to rethink how the sector and society support adult learners and to ensure that lifelong education becomes a central pillar of our skills system.

    The current picture

    While the signs from clearing so far offer some encouragement, due perhaps to a sluggish economy, the data remains stark. Over the past decade or more, the number of mature students entering higher education has steadily declined, down 43 per cent since 2012.

    The causes are multifaceted, but a shift began with the introduction of higher fees in 2012 and has persisted – it is well established that mature students tend to be more debt-averse, so this coupled with the rising cost of living and the upfront financial commitment of a degree will no doubt put off many.

    Others may well be put off by a lack of flexibility. While real strides have been made in this area, particularly at modern universities, the structures of funding and regulation mean a lot of courses are still designed for school-leavers with the time and freedom to study full-time. Family responsibilities, limited employer support for training and the still-dominant perception that universities are designed for 18-year-olds will also play a role.

    The pandemic briefly nudged some adults back into learning, but the overall trend remains downward. Without targeted action, these numbers are unlikely to recover on their own.

    A price to pay

    Why does this matter beyond the university sector? Because a thriving economy depends on people being able to learn, retrain, and adapt throughout their lives. Mature students often bring real-world experience into classrooms and tend to choose courses that fill urgent skills shortages – in health and social care, teaching, engineering, IT, and other high-demand sectors.

    When these pathways dry up, industries suffer. Skills gaps are prevalent across key sectors and have been estimated by the Recruitment and Employment Confederation to cost the economy almost £40bn per year. Without a pipeline of retrained workers, employers struggle to fill gaps, productivity growth stalls, and regional economies miss opportunities to regenerate.

    It’s also an issue of social mobility. For people whose school results closed off higher education the first time around, mature study offers a second chance to change careers, boost their earnings, and improve their families’ prospects. If that route disappears, inequality widens – and our economy pays the price.

    A new hope?

    The LLE, due to launch in 2026, aims to reshape post-18 education in England by enabling a move away from the traditional three- or four-year degree as the default model. Instead, individuals will be able to draw on a single pot of funding – equivalent to four years of study, or around £38,000 – and use it flexibly over their lifetimes, taking courses in smaller, more targeted chunks.

    In principle, this modular approach could open the door for adults with work and family commitments, allowing them to pursue short courses when needed and return later for further study without losing access to funding. By making learning more flexible, affordable, and tied to labour market needs, the LLE is pitched as a way to lower barriers that currently deter many mature learners, particularly in an economy being reshaped by AI, automation, and the green transition.

    Yet the promise of the scheme is far from guaranteed. The rollout is proving complex, with uncertainties over how funding will be administered, whether universities and colleges will be equipped to redesign courses in modular formats, and how easily learners will be able to navigate the system. Awareness is another challenge: adults with established careers and busy lives may not know the scheme exists, or may find the process of accessing funding too bureaucratic to be worth the effort. Employers, meanwhile, will need to support staff in using the entitlement – something that cannot be assumed.

    There are also cultural and practical reasons to doubt whether large numbers of mature learners will take up the LLE. Adults may be reluctant to re-enter formal education, particularly if they are anxious about returning to study, lack confidence with digital learning, or doubt the value of small qualifications in the job market. Others may weigh the potential benefits against the costs – not only financial, but also in time and disruption to family or work responsibilities – and decide against it.

    In short, while the LLE represents a bold attempt to modernise lifelong education, its success will depend on whether the system can overcome significant implementation hurdles and whether mature learners themselves see it as accessible, relevant, and worthwhile.

    The role of modern universities

    Universities are at the heart of this challenge. They too cannot rest on their laurels and must continue to consider how they design, market, and deliver their courses if they are to serve lifelong learners as effectively as they serve 18-year-olds fresh from colleges. Modern universities, which traditionally teach the majority of mature undergraduates, must continue to lead this agenda from the front.

    Partnerships with local employers, another area in which modern universities lead, are key. By aligning courses with regional economic needs – for example, creating pathways into green technologies, health and care, or digital sectors – universities can help ensure that adults return to education with a clear line of sight to better jobs.

    But a cultural shift is just as important. Universities need to be hubs for lifelong learning, not just finishing schools for young adults, and the government has significant work to do in getting the word out to the general public that the opportunity to study or re-train is there to be taken.

    The decline in mature students is more than a higher education story. It’s a warning sign for our economy and for our ability to adapt to change. The LLE offers a chance to reverse the trend – but only if universities, employers, and policymakers work together to make lifelong learning a reality.

    In a fast-changing world, education cannot stop at 21. The people of Britain need a system that allows people to keep learning, keep adapting, and keep contributing to the economy throughout their lives.

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  • Empowering Mature Students through Inclusive AI Literacy: Advancing Digital Equity and Social Justice in Higher Education

    Empowering Mature Students through Inclusive AI Literacy: Advancing Digital Equity and Social Justice in Higher Education

    • By Assoc. Prof. Dr. Eleni Meletiadou, Guildhall School of Business and Law, London Metropolitan University, PFHEA, NTF, UTF, MCIPD, MIIE.

    As higher education embraces artificial intelligence (AI) to drive digital transformation, there is a growing risk that older, non-traditional, or mature students will be left behind. This blog post draws on insights from the QAA-funded “Using AI to promote education for sustainable development and widen access to digital skills” project I have been leading alongside findings from the EU COST Action DigiNet (WG5), where I co-lead research into media portrayals and digital inequalities impacting mature learning workers.

    Through this work, and in collaboration with international partners, we have identified what genuinely supports inclusion and what simply pays lip service to it. While AI is often heralded as a tool for levelling the educational playing field, our research shows that without intentional support structures and inclusive design, it can reinforce and even widen existing disparities.

    Supporting mature students’ AI literacy is, therefore, not just a pedagogical responsibility; it is an ethical imperative. It intersects with wider goals of equity, social justice, and sustainable digital inclusion. If higher education is to fulfil its mission in an age of intelligent technologies, it must ensure that no learner is left behind, especially those whose voices have long been marginalised.

    Why Mature Students Matter in the AI Conversation

    Mature students are one of the fastest-growing and most diverse populations in higher education. They bring a wealth of life and work experience, resilience, and motivation. Yet, they are often excluded from AI-related initiatives that presume a level of digital fluency not all possess. However, they are often left out of AI-related initiatives, which too frequently assume a baseline level of digital fluency that many do not possess. Media portrayals tend to depict older learners as technologically resistant or digitally inept, reinforcing deficit narratives that erode confidence, undermine self-efficacy, and reduce participation.

    As a result, mature students face a dual barrier: the second-order digital divide—inequity in digital skills rather than access—and the social stigma of digital incompetence. Both obstruct their academic progress and diminish their employability in a rapidly evolving, AI-driven labour market.

    Principles that Support Mature Learners

    The QAA-funded project, developed in partnership with five universities across the UK and Europe, embedded AI literacy through three key principles—each critical for mature learners:

    1. Accessibility

    Learning activities were designed for varying levels of digital experience. Resources were provided in multiple formats (text, video, audio), and sessions used plain language and culturally inclusive examples. Mature students often benefited from slower-paced, repeatable guidance and multilingual scaffolding.

    1. Collaboration

    Peer mentoring was a powerful tool for mature students, who often expressed apprehension toward younger, digitally native peers. By fostering intergenerational support networks and collaborative projects, we helped reduce isolation and build mutual respect.

    1. Personalised Learning

    Mature students frequently cited the need for AI integration that respected their goals, schedules, and learning styles. Our approach allowed learners to set their own pace, choose relevant tools, and receive tailored feedback, building ownership and confidence in their digital journeys.

    Inclusive AI Strategies That Work – Based on What Mature Learners Told Us

    Here are four practical strategies that emerged from our multi-site studies and international collaborations:

    1. Start with Purpose: Show AI’s Relevance to Career and Life

    Mature learners engage best when AI tools solve problems that matter to them. In our QAA project, students used ChatGPT to refine job applications, generate reflective statements, and translate workplace policies into plain English. These tools became career companions—not just academic add-ons.

    ‘When I saw what it could do for my CV, I felt I could finally compete again,’ shared a 58-year-old participant.

    2. Design Age-Safe Learning Spaces

    Many mature students fear embarrassment in digital settings. We created small, trust-based peer groups, offered print-friendly guides, and used asynchronous recordings to accommodate different learning paces. These scaffolds helped dismantle the shame often attached to asking for help.

    3. Make Reflection Central to AI Literacy

    AI use can be empowering or alienating. We asked students to record short video reflections on how AI shaped their thinking. This helped them develop critical awareness of what the tool does, how it aligns with academic integrity, and what learning still needs to happen beyond automation.

    4. Use Media Critique to Break Stereotypes

    Drawing on my research into late-life workers and digital media, we used ageist headlines, adverts, and memes as classroom material. Mature learners engaged critically with how society depicts them, transforming deficit narratives into dialogue, and boosting confidence through awareness.

    How We Measured Impact (and Why It Mattered)

    We evaluated these strategies using mixed methods informed by both academic and lived-experience perspectives:

    • Self-reflective journals and confidence scales tracked growth in AI confidence and self-efficacy
    • Survey data from mature students (aged 55+) in the UK and Albania (from my older learners study) revealed the key role of peer support, professional experience, and family encouragement in shaping digital resilience
    • Narrative mapping, developed with COST DigiNet partners, was used to document shifts in learners’ digital identity—from anxious adopter to confident contributor
    • Follow-up interviews three months post-intervention showed sustained engagement with AI tools in personal and professional contexts (e.g., CPD portfolios, policy briefs)

    Policy and Practice: Repositioning Mature Learners in AI Strategy

    As highlighted in our Tirana Policy Workshop (2024), national and institutional policy often fails to differentiate between age-based needs when deploying AI in education. Mature students frequently face a “second-order digital divide,” not just in access, but in relevance, scaffolding, and self-belief.

    If UK higher education is serious about digital equity, it must:

    • Recognise mature learners as a distinct group in AI strategy and training
    • Fund co-designed AI literacy programmes that reflect lived experience
    • Embed inclusive, intergenerational pedagogy in curriculum development
    • Disrupt media and policy narratives that equate older age with technological incompetence

    Conclusion: Inclusion in AI Isn’t Optional – It’s Foundational

    Mature learners are not a marginal group to be retrofitted into digital learning. They are core to what a sustainable, equitable, and ethical higher education system should look like in an AI-driven future. Designing for them is not just good inclusion practice—it’s sound educational leadership. If we want AI to serve all learners, we must design with all learners in mind, from the very start.

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