Tag: Learning

  • Transforming Higher Ed With Virtual-Hybrid Learning

    Transforming Higher Ed With Virtual-Hybrid Learning

    Reading Time: 3 minutes

    Higher education is evolving and, as someone deeply involved in curriculum development, I have witnessed firsthand how virtual-hybrid delivery models can transform learning experiences. When the COVID-19 pandemic necessitated a sudden shift in instructional methods, I had to reconsider how to deliver my senior-level undergraduate Entrepreneurial Thinking and Innovation course, which was traditionally taught face-to-face (F2F). What started as a necessary adaptation quickly became an opportunity to enhance student engagement, flexibility, and real-world preparedness. I now recognize that virtual-hybrid delivery is not merely a temporary fix, but a sustainable and highly effective model for the future of education across disciplines.

    From face-to-face to virtual-hybrid learning

    My Entrepreneurial Thinking and Innovation course was originally designed around a hands-on, project-based learning (PBL) approach. At the course’s core was a semester-long, stage-gated Business Case, or BizCase Project. Student teams tackled real-world business challenges by developing comprehensive business cases for community organizations. Traditionally, this involved in-person collaboration, real-time feedback, and instructor-led sessions.

    When we shifted to online learning, my primary challenge was to preserve the course’s interactive and applied nature, while using digital tools to maintain engagement. Rather than attempting to replicate the in-person experience, I completely reimagined the learning process.

    The revamped course focused on three key elements:

    1. Synchronous Milestone Meetings: Structured biweekly sessions replaced traditional lectures, enabling real-time, small-group discussions that fostered deeper engagement and tailored feedback.
    2. High-Quality Asynchronous Instructional Videos: Professionally produced and concise video lessons allowed students to learn independently, enhancing accessibility and comprehension.
    3. Customized Screencast Feedback: Instead of written comments, students received comprehensive, personalized video feedback, enhancing the evaluation process to be more interactive and engaging.

    Why virtual-hybrid learning works

    The impact of this redesign was immediate and profound. Not only did students stay engaged, but their learning outcomes improved significantly. The average final grades on the BizCase Project increased by 8-10% compared to previous face-to-face cohorts. Here’s why this delivery model is so effective:

    1. Enhanced Student Engagement

    One of the most significant advantages of virtual-hybrid learning is the combination of structured flexibility and active engagement. Traditional lecture formats often lead to passive learning. The virtual-hybrid approach inspires students to take charge of their educational journey, thereby enhancing learner agency.

    Synchronous milestone meetings ensured students remained accountable and on track, while asynchronous videos allowed them to review content at their own pace. Many students observed that revisiting instructional videos before project discussions greatly boosted their comprehension and confidence.

    1. Real-World Preparation

    Virtual-hybrid delivery reflects the realities of modern workplaces, where professionals are increasingly engaged in hybrid and remote work environments. By embracing this model, students acquire academic knowledge while developing essential skills in virtual collaboration, digital communication, and self-directed learning.

    The course redesign was based on industry research regarding optimal meeting structures, which indicates that smaller, focused discussions promote greater engagement and enhance problem-solving. I implemented smaller team-based milestone meetings instead of large, passive online lectures, ensuring each student actively participated. This change aligns with corporate best practices. It equips students with skills that are directly transferable to contemporary work environments.

    1. More Effective Feedback

    One of the most significant innovations in this course redesign was using screencast technology for project feedback. Rather than traditional written comments, students received comprehensive, video feedback. I guided them through their submissions, emphasizing strengths and areas for improvement. Students overwhelmingly preferred this method, with 90% indicating that video feedback was clearer and more personal than written comments. The combination of seeing and hearing the feedback, along with visual annotations, created a more interactive and engaging learning experience, making it easier for students to refine their work.

    Challenges and opportunities

    While virtual-hybrid learning offers significant benefits, it also presents challenges. Although students appreciated the flexibility of self-paced videos, some struggled with motivation and time management in effectively navigating the course requirements.

    Another challenge is ensuring equitable access to technology. Not all students have access to high-quality devices or reliable internet connections. This can affect their ability to engage fully in virtual-hybrid courses. Institutions must invest in digital infrastructure and support systems to ensure all students can participate effectively.

    Applying virtual-hybrid models across disciplines

    Although this article focuses on an entrepreneurship and innovation course, the principles of virtual-hybrid learning can be applied to various disciplines. This model can benefit any course, including experiential learning, teamwork, and applied projects.

    • Engineering courses can incorporate virtual design labs, simulation software, and milestone meetings for project-based assessments.
    • Medical and healthcare programs can integrate asynchronous case studies with live virtual discussions on clinical applications.
    • Humanities and social sciences can include digital storytelling, virtual peer feedback collaboration, and instructor-led discussions.

    A new era of learning

    The success of the virtual-hybrid delivery model in Entrepreneurial Thinking and Innovation underscores its remarkable potential. The one-size-fits-all, lecture-heavy educational approach is becoming obsolete. Today’s students thrive in dynamic, technology-enhanced environments that prepare them for hybrid workplaces and the future of work.

    As educators, we have both an opportunity and a responsibility to rethink traditional teaching methods. Virtual-hybrid delivery presents a path forward for a more adaptable and impactful education. Having experienced the transformative effects of this approach firsthand, I can confidently assert that virtual-hybrid delivery can be a game changer for the future of higher education.

    Learn more about how hybrid-virtual learning fosters engagement and critical thinking by watching Professor MacKenzie’s webinar, part of our 2025 Empowered Educator Virtual Conference.

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  • How we designed a space where our students connect, collaborate, and flourish

    How we designed a space where our students connect, collaborate, and flourish

    Key points:

    Our charter school, Westbrook Academy, has been serving middle and high school students in the South Los Angeles area for the past six years and stands as a beacon of opportunity for our community. With a student body comprising nearly 99 percent Black and Latinx individuals hailing from historically under-resourced communities, we confront the realities of poverty and the accompanying insecurities head-on.

    Despite the odds, our 400 students consistently demonstrate remarkable resilience and a profound capacity for excellence. Our institution is supported by generous donors and funding sources. Operated and managed by the education nonprofit LA Promise Fund, which provides students with academic and enrichment opportunities that support our mission to spark passion, empower leadership, and prepare them for their chosen college and career paths.

    At one point, our high school students were learning in a church because we didn’t have a traditional classroom set-up. We also lacked the equipment that a traditional high school might have. This changed when we moved into our forever home in South Gate, where an on-campus Empowerment Center serves as a modern, welcoming “student hub.”

    Designed and outfitted by MiEN and Meteor Education, the Empowerment Center is where kids go to hang out, collaborate, and/or participate in school club activities. The hub is also set up with two wellness rooms where students can go to debrief and disconnect from a long day or just the stresses of being a student. It’s there for the students’ use.

    Here are the steps we took to create a space that consistently makes jaws drop and impresses parents who never thought their children would have access to such a warm, welcoming communal space on campus:

    • Add some flexibility into the process. Our original goal was to open the Empowerment Center’s doors in time for the 2023-24 school year, but getting it done the right way would require a bit more time. Our partners were willing to listen to us in terms of what we wanted to create, but within the realistic timelines. That was really cool.
    • Acknowledge the financial limitations. We largely relied on fundraising for this project and knew that some things just weren’t going to be realistic. To other schools in similar situations, I’d recommend staying flexible enough to hit the timelines and get all of the bases covered while keeping student needs in mind. We can have all the bells and whistles, but at the end of the day, if the car runs, the car runs. We know we can always add a new paint job later.
    • Get the right partners onboard early. As we went through the steps of designing the Empowerment Center, we learned a lot about architecture, planning, and construction. Through it all, having the right partners in its corner helped the school achieve its goals within budget and on time. It was really great to have our design and furniture partners sharing their best practices and other insights with us. We knew what we wanted to do, and a lot of the ideas came from our families and students. We just needed them to show us how we could get those ideas as close to reality as possible.
    • Make it personal. Special features we wanted in our Empowerment Center included a huge, interactive flatscreen TV that students, teachers, and guest speakers use to interact and work together. There’s also a large selection of donated books, the latest technology tools, and artwork that was personally selected by an art curation team. They were able to secure artists from the LA community to create and share visuals that our students are really familiar with. For example, some of the artwork spotlights female empowerment (i.e., with photos of authors like Octavia Butler) and the importance of acknowledging indigenous people. Everything in the hub is meant to spark curiosity. 
    • Brace yourself for some jaw-dropping moments. At our ribbon-cutting ceremony last year, our parents’ jaws were on the floor. They just never thought these resources would be available to their kids. A lot of them grew with us being in the church and a co-located space, and then we asked them to trust us to deliver on our promise, and now we’re able to show that as the reward for supporting us. We feel really proud that our parents were just over the moon about it.

    Hitting it out of the park

    Reflecting on the process we put in place to get our modern student hub designed, built, and open for business, I can say that the end result is an engaging, collaborative space that can be used for hanging out, structured learning, or a little of both. I think we really hit the ball out of the park with this innovative space.

    Student, teacher, and family feedback on the Empowerment Center has been extremely positive. Everyone loves it, and students are always excited to come and spend time in the modern, comfortable space that’s equipped with the technology and tools they need to be able to learn and engage.

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  • If memory is the residue of thought, what are we learning from AI?

    If memory is the residue of thought, what are we learning from AI?

    • This is an edited version of a speech given by Josh Freeman, HEPI Policy Manager, to the Cardiff University Biochemical Society Sponsored Seminar Series on AI.

    I want to start with a thought experiment – one that will be on familiar ground for many of us. A lecturer sets an assignment and receives two student essays which are very similar in argument, structure, originality and so on. The difference is that one student used AI and the other didn’t.

    The student who used AI used it, as more than half of students (51%) do, to save time. They knew what they wanted to say, wrote a bullet-pointed list, fed this into ChatGPT and asked it to generate an essay ‘in the style of a 2nd year Biosciences student’ – which is what we know that students are doing. Perhaps they added some finishing touches, like a bit of their own language.

    The second student wrote their essay the old-fashioned way – they wrote a plan, then turned that into a draft, redrafted it, tweaked it and manually wrote their references.

    The question is: Which essay should we value more? They are functionally the same essay – surely we should value them equally?

    I don’t mean which essay should get the higher mark, or whether the student who used AI was cheating. Let’s assume for the moment that what they did was within the rules for this particular course. What I mean is, which essay better shows the fulfilment of the core purposes of a university – instilling intellectual curiosity, critical thinking, personal development in our students?

    I think most of us would instinctively say that something has been lost for the student who used AI. We don’t value students as content creators. We don’t see the value in the essay for its own sake – after all, many of us have seen hundreds or thousands of similar essays in our time in academia. What we value is the process that got the student to that point. There is something fundamental about the writing process, that in the act of writing, you are forced to confront your own thoughts, express them, sit with them. You have to consider how far you really agree with them, or if there is something missing. Though the student who used AI produced the same end result, they didn’t have that same cognitive experience.

    AI is, for the first time, divorcing the output from much of the cognitive process required to get that output. Before AI, if a student submitted an essay, you could be relatively confident – barring the use of essay mills or plagiarism – that they had thought deeply, or at least substantially, about the output they submitted. The content was a good proxy for the process. But with AI, it’s remarkably easy to generate the content without engaging in the process.

    I was a teacher previously, and the mantra we were told again and again was ‘Memory is the residue of thought.’ (With credit to Daniel Willingham.) We remember what we think about. When you have to sit with an essay, or a difficult academic text, it fosters more learning because your brain is working harder. If you can fast-track the essay or just read a summary of the important bits of the text, you skip the work, but you also skip the learning.

    This is a problem for all kinds of reasons, some of which I’ll go into. But in another way, it may also be a good thing. For a long time, the focus has been on the content that students produce, as the best marker for a students’ skills and knowledge. But I hope that AI will force us to think deeply about what process we want students to go through.

    In the time I have left, I want to touch on a few issues raised by our recent survey, showing that the vast majority of students use generative AI, including to help with their assessments.

    The first is that the rabbit is out of the hat. Almost all students are using AI, for a rich variety of purposes, and almost certainly whether or not we tell them they can. That will be obvious to anyone who has received a coursework submission in the last 18 months, but it is so key that it is worth emphasising. Barring the withdrawal of large language models like ChatGPT from the internet (unlikely) or the mass socialisation of our students away from GenAI use (also unlikely, but less so), AI is here to stay.

    The second is that the system of academic assessment developed over decades or more is suddenly and catastrophically not fit for purpose. Again, this will be known to many but I am not sure the sector has fully grappled with the implications of it. All assessments had some level of insecurity, insofar as essay mills and contract cheating existed, but we have always felt these methods were used by relatively few students; we were also able to pass national legislation to crack down on these methods.

    AI is different for two reasons. The first is ease of use – the barriers of seeking out an essay mill and coughing up the money are gone (though it remains true that the most powerful AI models still have a cost). The second is how students reckon with the moral implications. It is clear to almost everyone, I think, that using an essay mill is breaking the rules, so students would usually only use these when they are truly desperate. But AI is different. We saw in the report that there great uncertainty when it comes to using AI – lots of disagreement about what is acceptable or not. When it’s cloudy in this way, it’s easier to justify to yourself that what you’re doing is okay. Most people won’t overtly ‘cheat’ but they might push on hazy boundaries if they can tell a story about why it is acceptable to do so.

    So all of our assessments need to be reviewed. I recently read an essay from UCL Law School, talking about how they will be using 50-100% ‘secure’ assessment, meaning in-person written or oral exams. This is a good start, though it may not even be enough if 50% of your assessments are ‘hackable’ by students with little or no subject knowledge or with no grasp of the skills you are meant to be teaching them. And I am not convinced that ‘secure’ exams are always such. If essay questions are predictable, you can easily use AI to generate some mock essays for you and memorise them, for example.

    This is also why the claims that AI will generate huge efficiency gains for the sector are misplaced, at least in the short term. In the coming years, AI will put huge strain on the sector. Essentially, we are asking all of our staff to be experts in AI tools, even as the tools themselves constantly update. For example, AI tools hallucinate a lot less than they used to and they also produce fake references much less often – and there are now specific tools designed to produce accurate references (such as ChatGPT’s Deep Research or Perplexity.AI). It is an open question as to whether this radical redrawing of assessment is a reasonable ask of the sector at a time when budgets are tight and cuts to staffing are widespread – up to 10,000 jobs lost by the end of the academic year, by some estimates.

    The third issue returns to the thought experiment I presented you with at the start. We will now be forced to think deeply about what skills we want our students to have in an age where AI tools are widely accessible, and then again about how we give our students those skills.

    Think again of those two essays, one of which used AI and one didn’t. There is an argument in favour of the AI-assisted essay if you particularly value teaching AI skills and you think getting AI to help with essays is one way to enhance those skills. But like developing AI-proof assessments, this is a moving target. Some people will remember the obsession with ‘prompt engineering’ in the early days of GenAI – carefully crafting prompts to manufacture very specific answers from chatbots, only for them to update and all that work becoming entirely useless? By virtue of being natural language models, they are frequently very intuitive to use and will only become more so. So it is not at all clear that even the best AI courses available now will be very useful a few years into students’ long and varied careers.

    The same problem applies to courses designed to teach students the limits of AI – such as bias, the use of data without permission, hallucinations, environmental degradation and other challenges which we are hearing lots about. Small innovations could mean, for example, that the environmental cost of AI falls dramatically. There is already some research saying a typical ChatGPT prompt may now use no more energy than a Google search. In a few years’ time, we may be dealing with a very different set of problems and students’ knowledge will be out of date.

    I can’t pretend HEPI has all the answers – though we do have many, and we require all of our publications to include policy solutions, which you are welcome to investigate yourselves on our website. But my view is that the skills students will receive from a university education – critical thinking, problem solving, working as a team, effective communication, resilience – are as critical as ever. In particular, we will probably need to hone in on those skills that AI cannot easily replicate – soft skills of motivating others or building trust, emotional intelligence, critical thinking, which will endure in importance even as AI automates other tasks.

    But the methods we use will need to change. We hear a lot from academics about the enormous administrative burden academics face, for example. In my view, the best case is that AI automates the boring bits of all our jobs – paperwork, producing lesson materials, generating data – and freeing us up to do what matters, which is producing innovative research and spending more time with students. That will make sure AI enhances, rather than threatens, the enormous benefits our degrees impart to students in the coming years.

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  • Learning Designer, Learning Technologist, Brown

    Learning Designer, Learning Technologist, Brown

    If there is anyone in higher education that you want to work with, that person is Melissa Kane. As director of online program development at Brown University, Melissa leads a talented team doing incredible work at the intersection of learning, technology and institutional change. You can learn more about Melissa and her professional and educational journey here. When I saw on LinkedIn that Melissa is recruiting for a learning designer and a learning technologist, I thought that these roles would be perfect to highlight in this “Featured Gig” series. 

    If you are also recruiting for an opportunity at the place where learning, technology and organizational change meet, please get in touch.

    Q: What is the mandate behind these roles? How do the roles align with and advance the university’s strategic priorities?

    A: Both the learning designer and the learning technologist positions are directly tied to Brown University’s strategic priority to diversify the master’s degree portfolio and significantly increase global impact through the expansion of online graduate degree programs. As higher education continues to evolve toward more flexible, human-centered and accessible learning modalities, Brown delivers on its mission by providing a uniquely Brown learning experience to a new demographic of working professionals and international learners who may require more geographical flexibility.

    Since this strategic initiative began in 2021, Brown has remained invested in its internal staff resources to partake in constructing and delivering its online master’s programs. Because of this, the learning designer and learning technologist positions are essential infrastructure investments that will enable us to continue delivering the same rigorous and innovative education that defines Brown through the online modality.

    The learning designer role advances our mission by ensuring that courses in our online master’s programs maintain Brown’s hallmark of academic excellence while leveraging evidence-based practices in fully asynchronous online learning experience design. Similarly, the learning technologist role has the opportunity to position us at the forefront of educational innovation by pioneering new approaches to implement existing and emerging learning technologies that can influence the ways we advance graduate student education.

    Both of these roles will be integral in helping Brown with its goal of enrolling and retaining new markets of graduate students while still maintaining our mission-driven commitment to deliver transformative, high-quality education in this evolving landscape.

    Q: Where do the roles sit within the university structure? How will the people in these roles engage with other units and leaders across campus?

    A: The learning designer and the learning technologist roles are strategically positioned within the Sheridan Center for Teaching and Learning, reporting through the Office of the Provost, which again reflects the university’s commitment to placing pedagogical excellence at the center of its online master’s degree expansion efforts. The Sheridan Center’s integrated approach makes it an ideal location for individuals in these positions to collaborate with other members of the university’s community, including the School of Professional Studies, the library and academic departments and schools. Because of our cross-campus partnerships to help deliver courses within the online graduate degree portfolio, we have the unique opportunity to enable consistent quality and pedagogical coherence across all online programs as we work with academic departments to draw on their unique disciplinary strengths and identities.

    Q: What would success look like in one year? Three years? Beyond?

    A: Our team’s success stems from deep human connections and the intellectual capital created through collaboration, trust and empathy with each other and our campus partners. In the first year, success is measured by the individual’s openness to creative thinking, empathetic cross-functional collaboration and inclusive practice in both their projects and interpersonal interactions. The learning designer will demonstrate fluency in digital pedagogies that are inclusive of global audiences at scale, while the learning technologist will continue to grow their technical knowledge and skills to meet diverse student learning needs through innovative, ethical and accessible educational technologies as the AI landscape changes.

    By year three and beyond, individuals in these roles will have evolved into thought leaders in learning experience innovation that is responsive and relevant to our ever-changing world. They will have established themselves as trusted collaborators with our campus partners, and their work will demonstrate measurable impact on student success and engagement in the graduate degree environment. Ultimately, I see individuals in these roles continuing to forge bridges between academic departments and inclusive online learning environments that reflect Brown’s commitment to academic excellence, innovation and accessibility.

    Q: What kinds of future roles would someone who took these positions be prepared for?

    A: As members of the integrated Sheridan Center for Teaching and Learning, both positions have clearly defined advancement pathways based on the university’s evolving needs, with opportunities to progress to senior learning designer, senior learning technologist or even assistant director roles.

    While that’s the formal pathway, what’s exciting to me is that we’ve deliberately designed these positions to foster professional growth, which means an individual’s potential future impact at Brown is really only limited by their own ambitions of expanding their expertise in the field of learning design and technology. This has been my experience at Brown, and between the university’s deep commitment to staff development and remaining responsive to emerging trends in higher education, I imagine the possibilities for future roles extend beyond what I can envision at this moment.

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  • Promoting Civic Action through Service Learning

    Promoting Civic Action through Service Learning

    ***HEPI and the UPP Foundation will host a free webinar tomorrow, Wednesday 4 June at 1pm on embedding employability and civic action into the curriculum. There is still time to register your place: Sign up here***

    • By Dr Ben Lishman, Associate Dean for Students, College of Technology and Environment, London South Bank University.

    London South Bank University (LSBU) launched its Energy Advice Centre (EAC) in January 2023. The concept was a simple one. The energy crisis of the previous year had seen average household gas and electricity bills increase by 54% in the spring and a further 27% that autumn. The University already had well-established legal and small business advice clinics, so why not expand the concept to have students in our College of Technology and Environment provide local residents with energy-saving advice?

    With grant funding from the UPP Foundation, we have created a database of advice and ideas, which we share through a website and a drop-in clinic where local residents can talk directly to our students. The students answer questions, make suggestions for domestic changes which will reduce bills, and remove layers of complexity around domestic energy. 

    One of Bridget Philipson’s five priorities for reform of the higher education system is that universities play a greater civic role in their communities. With 15% of our local borough affected by fuel poverty, the Energy Advice Centre (EAC) is making an active and meaningful contribution to LSBU’s civic mission and our commitment to reducing the university’s carbon use.

    Through the website, our Elephant and Castle drop-in clinic, and winter workshops held in Peckham, Camberwell and Canda water, our student advisors have, to date, provided bespoke and detailed advice to over two hundred and fifty homes, as well as schools and SMEs. By providing information and guidance on issues such as improving energy efficiency, fitting insulation, installing solar panels and applying for home improvement grants, we estimate that the Energy Advice Centre has enabled savings of £75,000 on energy bills so far – and much of the advice we’ve given should provide savings for years to come.

    The impact of our work has been noticed locally, with Southwark Council making the Energy Advice Centre its official Green Homes Service, providing funding that has allowed the centre to continue once the initial grant from the UPP Foundation had been spent.

    It’s not only local residents who benefit from the Centre. In addition to being paid for their time, working at the EAC provides students with the opportunity to engage in civic activities while developing work-ready skills through applying learning from the classroom into the real world. This has enabled a number of the thirty students who have worked for the EAC so far to get jobs in professional energy advice, net-zero buildings research, and jobs in sustainability across their sectors.

    I’m thrilled that the UPP Foundation, having seen evidence of the effectiveness of the model, has provided us with further funding to develop a toolkit, which provides guidance on how other universities can develop their own energy advice centres. We are now working with three initial partner universities – Wrexham University, University of Reading and Kingston University London – to set up their own centres. We think there’s a need for a national network of these centres, sharing good ideas, and we want to share what we’ve learned.

    If you would be interested in exploring how to set up an energy advice centre at your own institution, the toolkit is being made available on the UPP Foundation’s website. At 1pm on 4th June, HEPI is also holding a webinar on how initiatives such as the EAC can be used to embed employability and civic engagement in higher education.

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  • Taking Intermittent Quizzes Reduces Achievement Gaps & Enhances Online Learning – The 74

    Taking Intermittent Quizzes Reduces Achievement Gaps & Enhances Online Learning – The 74

    Inserting brief quiz questions into an online lecture can boost learning and may reduce racial achievement gaps, even when students are tuning in remotely in a distracting environment.

    That’s a main finding of our recent research published in Communications Psychology. With co-authors Dahwi Ahn, Hymnjyot Gill and Karl Szpunar, we present evidence that adding mini-quizzes into an online lecture in science, technology, engineering or mathematics – collectively known as STEM – can boost learning, especially for Black students.

    In our study, we included over 700 students from two large public universities and five two-year community colleges across the U.S. and Canada. All the students watched a 20-minute video lecture on a STEM topic. Each lecture was divided into four 5-minute segments, and following each segment, the students either answered four brief quiz questions or viewed four slides reviewing the content they’d just seen.

    This procedure was designed to mimic two kinds of instructions: those in which students must answer in-lecture questions and those in which the instructor regularly goes over recently covered content in class.

    All students were tested on the lecture content both at the end of the lecture and a day later.

    When Black students in our study watched a lecture without intermittent quizzes, they underperformed Asian, white and Latino students by about 17%. This achievement gap was reduced to a statistically nonsignificant 3% when students answered intermittent quiz questions. We believe this is because the intermittent quizzes help students stay engaged with the lecture.

    To simulate the real-world environments that students face during online classes, we manipulated distractions by having some participants watch just the lecture; the rest watched the lecture with either distracting memes on the side or with TikTok videos playing next to it.

    Surprisingly, the TikTok videos enhanced learning for students who received review slides. They performed about 8% better on the end-of-day tests than those who were not shown any memes or videos, and similar to the students who answered intermittent quiz questions. Our data further showed that this unexpected finding occurred because the TikTok videos encouraged participants to keep watching the lecture.

    For educators interested in using these tactics, it is important to know that the intermittent quizzing intervention only works if students must answer the questions. This is different from asking questions in a class and waiting for a volunteer to answer. As many teachers know, most students never answer questions in class. If students’ minds are wandering, the requirement of answering questions at regular intervals brings students’ attention back to the lecture.

    This intervention is also different from just giving students breaks during which they engage in other activities, such as doodling, answering brain teaser questions or playing a video game.

    Why it matters

    Online education has grown dramatically since the pandemic. Between 2004 and 2016, the percentage of college students enrolling in fully online degrees rose from 5% to 10%. But by 2022, that number nearly tripled to 27%.

    Relative to in-person classes, online classes are often associated with lower student engagement and higher failure and withdrawal rates.

    Research also finds that the racial achievement gaps documented in regular classroom learning are magnified in remote settings, likely due to unequal access to technology.

    Our study therefore offers a scalable, cost-effective way for schools to increase the effectiveness of online education for all students.

    What’s next?

    We are now exploring how to further refine this intervention through experimental work among both university and community college students.

    As opposed to observational studies, in which researchers track student behaviors and are subject to confounding and extraneous influences, our randomized-controlled study allows us to ascertain the effectiveness of the in-class intervention.

    Our ongoing research examines the optimal timing and frequency of in-lecture quizzes. We want to ensure that very frequent quizzes will not hinder student engagement or learning.

    The results of this study may help provide guidance to educators for optimal implementation of in-lecture quizzes.

    The Research Brief is a short take on interesting academic work.

    This article is republished from The Conversation under a Creative Commons license. Read the original article.

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  • Why agentic AI matters now more than ever

    Why agentic AI matters now more than ever

    Key points:

    For years now, the promise of AI in education has centered around efficiency–grading faster, recommending better content, or predicting where a student might struggle.

    But at a moment when learners face disconnection, systems are strained, and expectations for personalization are growing, task automation feels…insufficient.

    What if we started thinking less about what AI can do and more about how it can relate?

    That’s where agentic AI comes in. These systems don’t just answer questions. They recognize emotion, learn from context, and respond in ways that feel more thoughtful than transactional. Less machine, more mentor.

    So, what’s the problem with what we have now?

    It’s not that existing AI tools are bad. They’re just incomplete.

    Here’s where traditional AI systems tend to fall short:

    • NLP fine-tuning
       Improves the form of communication but doesn’t understand intent or depth.
    • Feedback loops
       Built to correct errors, not guide growth.
    • Static knowledge bases
       Easy to search but often outdated or contextually off.
    • Ethics and accessibility policies
       Written down but rarely embedded in daily workflows.
    • Multilingual expansion
       Translates words, not nuance or meaning across cultures.

    These systems might help learners stay afloat. They don’t help them go deeper.

    What would a more intelligent system look like?

    It wouldn’t just deliver facts or correct mistakes. A truly intelligent learning system would:

    • Understand when a student is confused or disengaged
    • Ask guiding questions instead of giving quick answers
    • Retrieve current, relevant knowledge instead of relying on a static script
    • Honor a learner’s pace, background, and context
    • Operate with ethical boundaries and accessibility in mind–not as an add-on, but as a foundation

    In short, it would feel less like a tool and more like a companion. That may sound idealistic, but maybe idealism is what we need.

    The tools that might get us there

    There’s no shortage of frameworks being built right now–some for developers, others for educators and designers. They’re not perfect. But they’re good places to start.

    Framework Type Use
    LangChain Code Modular agent workflows, RAG pipelines
    Auto-GPT Code Task execution with memory and recursion
    CrewAI Code Multi-agent orchestration
    Spade Code Agent messaging and task scheduling
    Zapier + OpenAI No-code Automated workflows with language models
    Flowise AI No-code Visual builder for agent chains
    Power Automate AI Low-code AI in business process automation
    Bubble + OpenAI No-code Build custom web apps with LLMs

    These tools are modular, experimental, and still evolving. But they open a door to building systems that learn and adjust–without needing a PhD in AI to use them.

    A better system starts with a better architecture

    Here’s one way to think about an intelligent system’s structure:

    Learning experience layer

    • Where students interact, ask questions, get feedback
    • Ideally supports multilingual input, emotional cues, and accessible design

    Agentic AI core

    • The “thinking” layer that plans, remembers, retrieves, and reasons
    • Coordinates multiple agents (e.g., retrieval, planning, feedback, sentiment)

    Enterprise systems layer

    • Connects with existing infrastructure: SIS, LMS, content repositories, analytics systems

    This isn’t futuristic. It’s already possible to prototype parts of this model with today’s tools, especially in contained or pilot environments.

    So, what would it actually do for people?

    For students:

    • Offer guidance in moments of uncertainty
    • Help pace learning, not just accelerate it
    • Present relevant content, not just more content

    For teachers:

    • Offer insight into where learners are emotionally and cognitively
    • Surface patterns or blind spots without extra grading load

    For administrators:

    • Enable guardrails around AI behavior
    • Support personalization at scale without losing oversight

    None of this replaces people. It just gives them better support systems.

    Final thoughts: Less control panel, more compass

    There’s something timely about rethinking what we mean by intelligence in our learning systems.

    It’s not just about logic or retrieval speed. It’s about how systems make learners feel–and whether those systems help learners grow, question, and persist.

    Agentic AI is one way to design with those goals in mind. It’s not the only way. But it’s a start.

    And right now, a thoughtful start might be exactly what we need.

    Latest posts by eSchool Media Contributors (see all)

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  • How to Significantly Improve Student Engagement and Retained Learning in Higher Education – Faculty Focus

    How to Significantly Improve Student Engagement and Retained Learning in Higher Education – Faculty Focus

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  • Our drop-out and pace miracle is harming students’ health and learning

    Our drop-out and pace miracle is harming students’ health and learning

    One of the most alarming things about the Department for Education (DfE) commissioned National review of higher education student suicide deaths is the apparant role of academic pressure.

    Well over a third of the serious incidents reviewed made explicit reference to academic problems or pressures – often tied to exams or exam results.

    Other pressures included anxiety about falling behind, upcoming deadlines, perceived pressure to perform, and involvement in “support to study” procedures.

    And just under a third of those reviewed had submitted requests for mitigating circumstances – often citing personal reasons, mental health issues, or anxiety about academic performance.

    The review concluded that students struggling academically should be recognised as at-risk and provided with enhanced, compassionate support – and noted the need for greater awareness at critical points in the academic calendar, particularly around exam times, given that March and May saw peaks in suicide and self-harm incidents.

    Basically, academic pressure was not a sole cause but a consistent co-factor – frequently present and potentially exacerbating existing vulnerabilities. The report calls for better early detection, more proactive outreach, and a systemic rethink of how institutions respond to academic distress before it becomes a crisis.

    But what if the system, and its associated rhythms and traditions, is itself causing the problems?

    See the mess and trouble in your brain

    In our recent polling on health, academic culture emerged as a significant but often overlooked determinant, with students describing patterns of overwork, presenteeism, and what we’ve heard called a “meritocracy of difficulty” in some countries – one that rewards suffering over learning outcomes.

    My department seems to pride itself on how much we struggle,” wrote one student, while another observed that “lecturers brag about how little sleep they get, as if that’s something to aspire to.” In some departments in some providers, unhealthy work patterns are normalised and even celebrated.

    Assessment strategies featured prominently in student concerns about academic pressure. “Having five deadlines in the same week isn’t challenging me intellectually – it’s just testing my ability to function without sleep” and “I’ve had to skip meals to finish assignments that seem designed to break us rather than teach us” are two of the comments that got the highlighter treatment.

    Some spoke of the way in which assessment approaches particularly disadvantage students with health conditions:

    When everything depends on one exam, my anxiety disorder means I can’t demonstrate what I actually know.

    The glorification of struggle appears deeply embedded in some disciplines. “There’s this unspoken belief that if you’re not miserable, you’re not doing it right,” noted one respondent. Another observed:

    …completing work while physically ill is treated as a badge of honor rather than a sign that something’s wrong with the system.

    Students also highlighted the disconnect between health messaging and academic expectations – “The university sends emails about wellbeing while setting impossible workloads” and “We’re told to practice self-care but penalised if we prioritise health over deadlines.”

    Many articulated a vision for healthier academic cultures – with comments like “Learning should be challenging but not damaging,” and “I want to be pushed intellectually without being pushed to burnout.” As one student noted:

    The university keeps trying to teach us resilience when what we really need is a system that doesn’t require being superhuman just to graduate.

    Students called for workload mapping across programmes to identify assessment bottlenecks and unreasonable clustering, alongside assessment strategies that offer more flexibility and multiple ways to demonstrate learning.

    They advocated for mandatory staff training on setting healthy work boundaries and avoiding “struggle” glorification, as well as health and wellbeing impact assessments for all new curriculum and assessment designs.

    Their asks included “reasonable adjustments by design” policies ensuring assessments are accessible by default, clear policies distinguishing between challenging academic content and unnecessary stress, and the revision of attendance policies to discourage presenteeism during illness.

    One comment pushed for student workload panels with the authority to flag unsustainable academic demands. As the respondent put it: “If workload is such an issue for UCU, why isn’t an issue for the SU”?

    You feel lazy but stop the fantasies and bubble butts

    Even when we were in the EU, the UK for some reason always declined to take part in Eurostudent – a long-running cross-national research project that collects and compares data on the social and economic conditions of higher education students in Europe.

    But we can do some contemporary comparisons.

    First we can look at the World Health Organisation’s Well-Being index (WHO-5), which invites respondents to consider whether, over the past two weeks:

    • They have felt cheerful and in good spirit
    • They have felt calm and relaxed
    • They have felt active and vigorous
    • They woke up feeling fresh and rested
    • Their daily life has been filled with things that interest me

    Cibyl’s Mental Health Research is the largest UK study of university students and recent graduates’ mental health – and if we consider its results via the Eurostudent comparison, we are at the upper end of low well-being.

    We can also look at students’ general perceptions of their own health – a big part of which will be their mental health:

    The question asked in Eurostudent is the one we asked in our recent health polling. If we sort by the percentage of students responding positively, we don’t fare well – and the temptation would be to assume that if we can act to improve students’ health, we might ease academic pressures.

    Students are diverse, of course. Here’s what our scores look like by disability:

    The mind drifts to improvements to the NHS, increased awareness, cheaper and more nutritious food or easier access to sports facilities. But as we know, causation is not correlation. What if, rather than good health being a solution to academic pressure, that pressure is a cause of the bad health?

    In this detailed Eurostudent 2024 analysis, higher study demands – specifically long hours spent on coursework, preparation, and class attendance – were directly associated with lower wellbeing scores.

    The findings are grounded in a Study Demands-Resources (SD-R) framework, which distinguishes between stress-inducing demands (like excessive workload or time pressure) and supportive resources (such as peer contact or teacher guidance).

    In multivariate regression analyses, students who reported the highest time spent studying were consistently more likely to report poor well-being, defined by WHO-5 scores of ≤50. The trend held even after controlling for social and financial variables.

    Students studying more than 40 hours per week consistently reported lower wellbeing scores, while those studying 30-40 hours show optimal outcomes. Interestingly, students studying under 20 hours also experienced reduced wellbeing, likely reflecting disengagement or underlying difficulties rather than lighter workloads being beneficial.

    Commuting time created additional strain, with wellbeing decreasing progressively as travel time increases – students commuting over 60 minutes each way showed notably lower scores than those with shorter journeys.

    The relationship between paid work and wellbeing followed a pattern where moderate employment (1-20 hours weekly) actually enhanced student well-being, possibly through increased financial security or beneficial structure. But working more than 20 hours weekly eroded those benefits and became detrimental to mental health.

    Childcare responsibilities initially appeared to correlate with slightly higher wellbeing, but the effect disappeared when support systems were factored in – suggesting external support rather than the caring role itself influenced outcomes.

    Excessive academic pressure drained cognitive and emotional reserves. Without adequate recovery, connection, or flexibility, students began to internalise stress, which eroded their self-efficacy and increased the risk of burnout, depression, and anxiety. As students fall behind, the pressure compounds – creating a feedback loop of academic struggle and psychological deterioration.

    Running from the debt in the battle of cyber heads

    Intertestingly, age played a crucial role – older students tended to report higher levels of well-being compared to younger students. This was attributed to more effective coping strategies such as increased support-seeking and greater use of engagement strategies, while younger students are more likely to use avoidance strategies.

    EUROSTUDENT’s model explicitly included age as a socio-demographic factor that shaped a student’s “contextual conditions” – such as their academic and personal study environments – which in turn influenced study demands, access to resources, and ultimately mental health outcomes.

    Its multivariate analysis supported the idea that age has a statistically significant impact on wellbeing, even when controlling for other factors such as financial stress and social isolation. All of which puts two key stats into sharp focus.

    Our undergraduates are pretty young – In Europe only Belgium, Greece and the Netherlands beat us on percentage of 18/19 year olds enrolled, and here’s the mean age of undergraduates on entry across the whole OECD. We’re in the middle of the pack on 22:

    But here’s the distribution for the average age on graduation from a Bachelor’s, which suggests we have the youngest undergraduate graduates in Europe:

    If you then bear in mind that our non-completition rates are lower, it’s hard to avoid coming to the conclusion that at least part of the problem we see with wellbeing and mental health is structural – and that taking steps to cause students to both enrol later, and complete slower, would help.

    Keep you feeling impressed

    In recent years, plenty of other countries have been attempting to speed up their students’ completion – partly because those countries are keen to get often older students out into the labour market.

    But it does mean that the research that has gone into why students take so long in some countries to accrue the 180 credits for a Bachelor’s can be interrogated for signs of those systems’ ability to accommodate and relieve pressure.

    A decade ago, the HEDOCE (Higher Education Dropout and Completion in Europe) project was a large-scale comparative study examining dropout and completion rates across 35 European countries – providing insight into the policies that European countries and higher education institutions employed to explicitly address study success, how these policies were being monitored and whether they were effective.

    It combined a literature review of academic and policy documents with three rounds of surveys among selected national experts from each country, eight in-depth country case studies (Czech Republic, England, France, Germany, Italy, the Netherlands, Norway and Poland), institutional case studies within those countries including interviews with policy-makers, institutional leaders, academic staff and students, and statistical analysis of available completion, retention and time-to-degree data.

    It found Denmark providing student funding in a way that explicitly acknowledged that the theoretical three-year timeline may not reflect educational reality. The Netherlands went further, offering students a full decade after first enrolment to complete their degree for loan-to-grant conversion, a policy that helped reduce average time-to-degree from 6.5 to 5.8 years while improving completion rates.

    It’s notable that the populists’ proposal of a study-time penalty to reduce the time further late last year in NL brought swift condemnation from the two national students’ unions – with concerns that forcing the same pace would result in unequal outcomes, worries that students’ high employment-during-studies rates were incompatible with a faster pace for some, and a major concern that the tens of thousands of students attempting less than 30 credits in a semester to fit in a “Board semester” – running the country’s impressive array of student associations – would be under major threat.

    In the HEDOCE report, researchers talk about “pressure reduction” – when students know they have more than three years available, “each individual semester failure is less catastrophic” and systems can “focus on mastery rather than speed.” Students facing temporary setbacks – health issues, family circumstances, financial pressures – were able to reduce their course load temporarily and extend overall duration rather than dropping out entirely.

    Students became “less likely to drop out entirely when facing academic difficulties” and “more likely to persist through temporary setbacks.”

    The Norwegian experience illustrates. Despite – or perhaps because of – allowing extended completion periods, at the time Norway was maintaining completion rates of 71.5 per cent at bachelor level and 67 per cent at master’s level. Students could “explore additional courses and find their optimal path without penalty,” with the well-functioning labour market reducing urgency to complete quickly as “employment opportunities exist even without completion.”

    Extended duration systems acknowledged the reality of student employment. The study found that students working more than 20-25 hours per week in Estonia and Norway showed higher dropout risk – but the systems accommodated it rather than penalising it.

    These systems also enabled what the report termed “assessment flexibility and academic readiness.” Students were able to gauge their preparation for examinations, retake failed modules without catastrophic consequences, and accumulate credits over multiple attempts rather than facing binary pass-fail decisions with immediate ejection consequences.

    Germany’s continuous assessment systems exemplified the approach – allowing students to “gauge their readiness” for progression rather than facing predetermined examination schedules regardless of preparation level. Ditto the Netherlands’ Binding Study Advice system – where students received intensive counselling and multiple opportunities for course correction, with the safety net of extended completion timeframes preventing premature dropout due to temporary academic difficulties.

    It’s also worth noting that countries prioritising completion over speed consistently showed better outcomes. Many European systems were:

    …explicitly designed to prioritise completion over speed, viewing extended duration as preferable to dropout.

    That challenges fundamental assumptions about educational efficiency. If the goal is maximising human capital development and minimising wasted educational investment, then systems that achieve 80 per cent completion over four to five years may be superior to those achieving 60 per cent completion over three years.

    As such, the evidence suggested that policymakers face a genuine trade-off between completion speed and completion rates. Systems optimised for rapid completion – three years maximum, immediate financial penalties for delays – may have achieved faster average graduation times but at the cost of overall completion rates.

    So what are we to make of the UK’s stats – where we seem to manage to combine a lower study hours-per-ECTS credit with lower drop-out rates than average and faster enrolment-to-graduation times?

    Every day we live a miracle

    Rather than extending duration to reduce pressure, the report argued that the UK system maintained “a fairly tight admissions system” combined with:

    …a widespread and embedded expectation that completion is possible in three years except for exceptional circumstances.

    Students and families “do not expect to study for longer than the normal time period,” creating social and cultural momentum toward timely completion, and England’s 2012 funding reforms – shifting to £9,000 annual tuition fees with income-contingent loans – created what the researchers describe as putting “students in the driver’s seat.”

    It seems to suggest that the market-driven approach and a desire to avoid extra debt was generating different behavioural incentives than the extended-support models elsewhere.

    Higher education institutions became “dependent on students and study success for their funding,” creating institutional incentives for retention without requiring extended timeframes. It also noted that in England, the HEFCE Student Premium provided targeted funding for institutions enrolling students “with a higher risk of dropout,” but that that operated within the three-year framework rather than extending it.

    Most significantly, it identified the English approach as creating what might be termed “compressed intensity” rather than “extended accommodation” – noting that “institutions and students are not funded for more than three plus one years (except for longer courses),” creating hard financial boundaries that concentrate educational effort.

    Everyone else in Europe might be scratching their head – England in particular seems to challenge the general finding that extended duration typically improves completion rates.

    It suggests an alternative model – intensive, time-bounded education with high support levels and clear completion expectations may achieve similar or superior outcomes to extended-duration systems. But at what cost?

    You don’t need an upgrade anymore

    The pressures identified in the HEDOCE report have intensified since its publication a decade ago. England’s “tight admissions system” referenced in the research is considerably less tight now as we continue to widen access, yet the temporal constraints remain unchanged. That creates a fundamental mismatch between institutional capacity to support diverse student needs and the rigid three-year framework within which everyone expects them to operate.

    The student premium funding available today is nothing like as helpful as it was a decade ago, EUROSTUDENT’s model is as vivid as any on the interactions between student financial support, and any regular reader of Wonkhe will know how far that has fallen in comparison to costs on all sorts of measures. Here’s how we look on average student incomes:

    And here’s how we look when we adjust for comparative spending power:

    Maybe our comparative wellbeing data looks worse precisely because we’ve created a system that prioritises throughput over student experience. Our high percentage of students living away from home, combined with annual rental contracts and significant financial commitments, makes dropping out extraordinarily difficult even when it might be the healthiest option. Students facing mental health crises may persist not because they’re thriving, but because the economic and social costs of withdrawal are so prohibitive.

    Our student maintenance systems don’t really allow enrolling into less than 60 credits a year even if a student wanted or needed to – and the regulatory pressures in the UK, especially England, to reduce dropout rates has created incentives to push students through.

    Rather than addressing the underlying causes of student distress, institutions focus on retention metrics that may keep struggling students enrolled but not necessarily supported. A “retention at all costs” mentality may well contribute to the compressed intensity that characterises the system.

    No more nap, your turn is coming up

    The temporal aspects are especially telling. Even if you set aside the manifest unfairness of a system whose most popular assessment accommodation for disabled students is “extra time”, it causes chaos – and deep opposition when things like self-certification is clawed back at the altar of “academic standards” that seem to be about pace rather than attainment.

    Then the high costs of student support services coping with the race mean that early intervention – the kind identified as crucial in the suicide review – often come too late or prove inadequate. When institutions are financially incentivised to maintain high completion rates within tight timeframes, the investment required for genuine wellbeing support becomes a secondary consideration.

    When Denmark had a run at speeding students up, this study found that the majority of students were led by an explorative educational interest that contradicted the reform’s demand that all students complete their education at the same pace. It also found a need to consider wider social interest and engagement among students:

    Rather than focusing exclusively on their own success, the students in the survey were often motivated by the social aspects of the study environment, and in many cases, the study environment appeared crucial for the students’ motivation and their completion times.

    In one telling quote, a first-year student in Computer Science saw the reforms as a risk to students’ voluntary engagement:

    One of the places where I think the Study Progress Reform will shoot itself in the foot is that there will no longer be someone who has the time to be a student instructor, because you have to complete your study in half the time. There is nobody who dares to sacrifice their own studies in order to teach others about what they learned last year.

    Another explained how she might take advantage of the new rules on transferring ECTS credits to gain more time for her bachelor project:

    I have perhaps become a bit rebellious in relation to the new regulations because I would like to enjoy this study… I would like to have more time to go into greater depth. I cannot plan what will happen in ten years, and I cannot see how the job market will look, but at the same time, I just simply need to look forward. … I have decided what I will write about in my bachelor [project], and I could actually use some of those credits from Tibetology, which I studied before.

    A third thought the reform had made her reconsider her own propensity to risk:

    It has always been important for me to have a period of study abroad, and it was an essential objective to learn and speak a decent level of Spanish. But then I found out the other day that the study abroad agreement that the Ethnology Department has in Spain requires that you take an exam in Spanish. And you have to take a language test before you go down there. … I think that now, all of a sudden, there is a lot at stake.

    The paper concludes that an acceleration of time has taken place in late capitalist societies, with movement becoming an objective in itself – institutions and practices are marked by the “shrinking of the present”, a decreasing time period during which expectations based on past experience reliably match the future.

    Can’t you see the link?

    But there’s another dimension to the story that complicates any simple narrative about slowing down or extending duration. The evidence from international skills assessments suggests that our efficient degree production system isn’t actually producing the learning outcomes we might expect.

    The Mincer equation – the fundamental formula in labour economics that models the relationship between earnings, years of schooling, and work experience – has traditionally suggested that each additional year of education participation yields measurable increases in both skills and earning potential. So what does the UK’s speed mean for learning and earning?

    The 2023 PIAAC (Programme for the International Assessment of Adult Competencies) results reveal that UK graduates, particularly those from England, perform relatively poorly compared to graduates in many other OECD countries across literacy, numeracy, and adaptive problem-solving assessments.

    The scale of the underperformance is stark. Adults in Finland with only upper secondary education scored higher in literacy than tertiary-educated adults in 19 out of 31 participating countries and economies, including England. While England has seen a 13 percentage point increase in the proportion of tertiary-educated adults between 2012 and 2023, average skills proficiency has not increased correspondingly. The PIAAC data show no significant gains in literacy or numeracy among our growing graduate population.

    In other words, we’re “producing” graduates faster and more efficiently than most other systems, but they’re demonstrating lower levels of the foundational competencies that their qualifications should represent. UK tertiary-educated adults scored around 280 points in numeracy compared to over 300 in Japan and Finland. In problem-solving in technology-rich environments, only about 37 per cent of UK tertiary-educated adults reached the top performance tiers, compared to over 50 per cent in countries like the Netherlands and Norway.

    That suggests that our model of “compressed intensity” may be producing credentials rather than capabilities. The three-year norm, rigid subject specialisation, grade inflation and high completion expectations all appear to prioritise the award of qualifications over the mastery of skills.

    The implications are profound. If degrees are not effectively developing human capital – the literacy, numeracy, and problem-solving capabilities that employers, society and students themselves expect – then the entire economic justification for higher education expansion with its considerable personal investment comes into question.

    Countries with extended-duration systems may achieve better learning outcomes precisely because they allow time for deeper engagement with material, multiple attempts at mastery, and the kind of reflective learning that develops transferable skills.

    The pressure-reduction mechanisms identified in HEDOCE – the ability to retake modules, explore additional courses, and gauge readiness for progression – may be essential not just for wellbeing, but for genuine learning and subsequent economic activity too.

    Pressure rocks you like a hurricane

    The irony is that students are desperate to slow down. A growing “slow living” movement represents a cultural shift from “hustle culture” to prioritising rest and mental health, driven by widespread burnout and exhaustion.

    Books like Emma Gannon’s “A Year of Nothing” and Jenny Odell’s “How to Do Nothing” advocate for intentional rest and resistance to productivity-obsessed capitalism, particularly resonating with those who’ve experienced chronic burnout from economic instability and social pressure to constantly achieve.

    Easing off won’t be straightforward. Financial pressures in providers seem to be reducing the optionality of slow(er) credit accrual, as more modules become “core modules” and our rigid system of year-groups gets more, rather than less, entrenched.

    Big decisions need to be taken soon re the Lifelong Learning Entitlement. I’ve written before about the way in which universally setting the full-time student maintenance threshold at 60 credits a year is both unreasonable and discriminatory – but even if that was eased off at, say, 45 credits, students will be acutely aware that every extra semester means more cost.

    In an ideal world, we’d kill off fees altogether – but even without free education, the case for linking fees to module credit is seriously undermined by the evidence. Why on earth should a disabled student whose DSA has taken all year to come through be expected to pay for another year’s participation while they attempt to catch up?

    There’s very little that’s fair about a system where some providers’ students need more support to succeed, but don’t get it because they’re sharing support subsidy with more that need it. Especially when much of that support is needlessly aimed at an artificial time pressure coupled with a low drop-out pressure.

    Take the pill to feel the thrill and touch it all

    With central government support in DfE budgets under pressure, there’s no chance of student premium funding stepping in to deliver the top-ups required any more.

    So link maintenance debt to time in study if we have to – but retain (and rebuild) a progressive repayment system that extracts a fair(er) contribution from those that didn’t need the support (interest on loans), all while severing the link between modular student debt and modular institutional income.

    Put another way, if student A needs to take 2 years to get to 180, student B takes 3 years, and student C takes 5 years, if we must have notional (tuition) student debt, they of course should all graduate with the same amount.

    Other options are available, and all have trade-offs. But whatever we do, we mustn’t go into the next decade assuming that the system we have created is some sort of miracle, or somehow advantageous in comparison to our international peers.

    Our traditions, pace, structures and incentives have all created a dangerous combination of pace and pressure that is damaging students’ real educational attainment and their health. It’s causing harm, and it needs to change.

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  • Deportation Fears Push Some New York Immigrant Students to Virtual Learning – The 74

    Deportation Fears Push Some New York Immigrant Students to Virtual Learning – The 74

    As President Donald Trump has ramped up deportations, some immigrant students across New York have been too afraid to attend class in person. In response, some school districts have turned to virtual learning, a move the state’s Education Department is sanctioning, officials revealed last week.

    “I will tell you in the sense of a crisis, we do have some districts right now … that are taking advantage and providing virtual instruction to our children who are afraid to go to school,” Associate Education Commissioner Elisa Alvarez told state officials at May’s Board of Regents meeting.

    Alvarez shared with the board a memo the state Education Department issued in March clarifying that districts have the flexibility to offer online instruction to “students who may be unable or averse to attending school, including during times of political uncertainty.”

    The memo further specified schools can tap online learning for immigrant and migrant students “who may be affected and reluctant to attend school in person due to concerns about their personal safety and security.”

    Alvarez didn’t disclose how many or which districts were using the approach and for how many students. A state Education Department spokesperson did not respond to follow-up questions.

    New York City public schools already have virtual options available and aren’t doing anything different for immigrant students fearful of attending school, a spokesperson for the city’s Education Department said.

    Still, the disclosure from state officials highlights the ongoing fears some immigrant students are facing four months into the Trump administration and raises fresh questions about how their school experiences are being affected.

    Shortly after taking office, Trump rescinded longstanding guidance barring federal immigration agents from making arrests at “sensitive locations” including schools.

    Migrant families staying in New York City shelters expressed acute fears during the week after Trump’s inauguration in January and stayed out of school in large numbers, likely contributing to lower citywide attendance rates that week (though Mayor Eric Adams later downplayed the attendance woes). Some city educators said they’ve seen attendance for immigrant students rebound since that first week.

    City policy prohibits federal law enforcement agents, including Immigration and Customs Enforcement, from entering schools without a warrant signed by a judge, and Education Department officials have trained school staff on detailed protocols for how to respond.

    At the state level, the Attorney General’s office and Education Department issued joint guidance in March reiterating that state and federal law both compel districts to only permit federal law enforcement to enter schools under very limited circumstances.

    Many school leaders have worked hard to communicate those policies and reassure anxious families. And immigration enforcement inside of schools has remained rare.

    But some high-profile raids have targeted school-age children, including one in the upstate New York hometown of Trump border czar Tom Homan that swept up three students in the local public schools, sparking fear and outrage. And there have been reports across the country of parents detained by immigration agents right outside schools during drop-off time.

    Under those circumstances, virtual learning could give schools a way to keep up some connection with students or families who might otherwise completely disengage.

    But some New York City educators said they’re still working hard to convince fearful immigrant students to come to school in person, noting that virtual learning was especially challenging for English language learners during the COVID pandemic.

    Lara Evangelista, the executive director of the Internationals Network, which oversees 17 public schools in the five boroughs catering exclusively to newly arrived immigrant students, said none of her schools have made the “purposeful choice” to engage fearful students through virtual learning.

    “Virtual learning for [English Learners] was really challenging during COVID,” she said.

    Alan Cheng, the superintendent who oversees the international schools as well as the city’s dedicated virtual schools, said he hasn’t seen any significant changes in enrollment or interest in online learning due to fear of in-person attendance among immigrant students.

    And while virtual learning might be able to offer a version of the academic experience of in-person school, it’s harder for it to replicate some of the other services that schools provide families.

    “Our schools serve much more than just the academic environment,” Cheng said. “They are really community schools, they provide health care, they provide plenty of other resources.”

    This story was originally published by Chalkbeat. Chalkbeat is a nonprofit news site covering educational change in public schools. Sign up for their newsletters at ckbe.at/newsletters.


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