Tag: Build

  • Regulation builds walls between different levels of education, but universities can build bridges

    Regulation builds walls between different levels of education, but universities can build bridges

    Education in England remains segmented by regulation.

    Schools operate within Ofsted’s education inspection framework and the statutory regimes of the DfE. FE colleges navigate the new suite of Ofsted frameworks alongside funding and skills accountability structures. Universities face OfS oversight, TEF metrics, and the expectations of the professional standards framework (PSF).

    Even within universities, initial teacher training (ITT) can sit slightly apart. It is tightly regulated, operationally complex, and often detached from wider higher education teaching development.

    This fragmentation undermines the very professional identity that all sectors claim to cultivate. Educators, whether in early years, FE, HE or the workplace, share core capabilities: pedagogical reasoning, reflective practice, evidence-informed decision-making and relational skill. Yet current inspection and quality structures often privilege compliance over coherence. The new regulatory climate – with Ofsted’s expanded reach and the Office for Students’ growing emphasis on outcomes – risks hardening rather than healing these divides.

    Connected teacher formation

    The development of educators should be understood as a connected professional landscape spanning all phases of education. Early-years practitioners cultivate curiosity and foundational learning; FE teachers integrate academic knowledge with technical and vocational practice; HE staff foster critical inquiry and disciplinary expertise; workplace trainers translate theory into competence and innovation.

    These contexts differ, yet the core professional capabilities – reflective practice, relational pedagogy, and evidence-informed judgement – are deeply aligned. It is this alignment that offers the potential for genuine coherence across the system.

    Yet policy and regulation often pull in the opposite direction. Current agendas, including the post-16 white paper and recent ITT reforms, prioritise measurable outcomes and workforce supply. While these imperatives matter, they risk reducing professional formation to a compliance exercise they privilege evidence collection over reflection and credentials over capability. Entrenching directive, overly prescribed curricula that constrain professional judgement rather than deepen it.

    The challenge for higher education is not to reject accountability, but to reclaim its meaning: to own, shape, and model what intelligent, developmental regulation could look like in practice for our educational professionals.

    Connecting silos

    Higher education institutions are uniquely positioned to reconcile accountability with professional growth across sectors. They already engage in ITT partnerships with schools, support FE teacher education through validated programmes, and offer HE teaching qualifications, from PGCerts to Advance HE fellowships.

    Yet in practice these streams often operate in splendid isolation, reinforcing sector barriers, constraining professional mobility, and limiting opportunities for genuine cross-sector learning.

    Recognising teacher formation as relational and interconnected allows universities to model genuine professional coherence. QTS, QTLS and HE-specific qualifications should not be seen as separate territories – but as mutually informing frameworks that share a commitment to learning, reflection and the public good. At their best, reflective and research-informed practices become the collaborative engine that drives dialogue and professional mobility to connect schools, FE and HE teaching, fostering shared inquiry, and generating innovation that travels across boundaries rather than staying within them.

    The central challenge is one of narrative and ownership. Policy discourse too often frames teacher education as a workforce pipeline and a mechanism for filling vacancies, meeting recruitment targets whilst delivering standardised outputs. While workforce priorities matter, they must not be allowed to define the profession. The new Ofsted frameworks for ITT and FE, and the emerging regulatory language in HE, offer a moment of reckoning: will these instruments shape teachers, or will teachers and universities shape them?

    Universities have the intellectual capital, research capacity, and civic role to do the latter. They can reposition teacher education as the means by which professional agency is restored. They can demonstrate that robust accountability can coexist with autonomy, and that inspection need not stifle innovation.

    As I’ve set out, ITT, education and training, and HE teaching frameworks share a foundational logic: reflective practice, evidence-informed professionalism, and a commitment to learner outcomes. Treating these frameworks as interdependent rather than siloed gives HEIs the permission to shape, not just satisfy, regulation.

    Bridging the gaps

    The spaces between sectors – the school-to-FE transition, FE-to-HE pathways, and workplace interfaces – are where professional formation is most fragile. Policy and inspection regimes often treat these spaces as administrative handovers, yet they are precisely where higher education can add value.

    Universities can convene cross-sector networks, support shared professional learning, and promote collaborative research that spans education from the early years to lifelong learning. In doing so, teacher education becomes both the hub and the bridge: a central space where insight, evidence and practice converge, and a connective route through which ideas, people and purpose move freely.

    When universities play this role with intent, they enable knowledge, skill and reflective practice to travel with educators, strengthening the coherence of teaching as a truly lifelong, connected profession.

    Looking forward

    Teaching is the connective tissue of education, yet current regulatory and inspection frameworks continue to partition the profession into sector-specific silos, limiting transitions and weakening shared professional identity. The post-16 white paper, ITT reforms, and evolving HE teaching frameworks present more than compliance obligations – they offer a pivotal moment to restructure teacher education towards collaborative, cross-sector and shared professional agency.

    HEIs are uniquely positioned to seize this opportunity. By bringing schools, FE, and HE into constructive dialogue, aligning teaching pathways, and engaging inspection regimes strategically, universities can model a profession that is both coherent and adaptive. In doing so, they can collectively lead the sector in addressing complex challenges, ensuring teacher education supports not just quality, but innovation, inquiry, and resilience across the system.

    The pressing question is this: if teaching is the thread that binds the system, will higher education step forward to unite the sectors, shape regulation, and demonstrate what it truly means to teach without borders?

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  • We built evaluation for accountability–now it’s time to build it for growth

    We built evaluation for accountability–now it’s time to build it for growth

    Key points:

    Teacher evaluations have been the subject of debate for decades. Breakthroughs have been attempted, but rarely sustained. Researchers have learned that context, transparency, and autonomy matter. What’s been missing is technology that enhances these at scale inside the evaluation process–not around it. 

    As an edtech executive in the AI era, I see exciting possibilities to bring new technology to bear on these factors in the longstanding dilemma of observing and rating teacher effectiveness.

    At the most fundamental level, the goals are simple, just as they are in other professions: provide accountability, celebrate areas of strong performance, and identify where improvement is needed. However, K-12 education is a uniquely visible and important industry. Between 2000 and 2015, quality control in K-12 education became more complex, with states, foundations, and federal policy all shaping the definition and measurement of a “proficient” teacher. 

    For instance, today’s observation cycle might include pre- and post-observation conferences plus scheduled and unscheduled classroom visits. Due to the potential for bias in personal observation, more weight has been given to student achievement, but after critics highlighted problems with measuring teacher performance via standardized test scores, additional metrics and artifacts were included as well.

    All of these changes have resulted in administrators spending more time on observation and evaluation, followed by copying notes between systems and drafting comments–rather than on timely, specific feedback that actually changes practice. “Even when I use Gemini or ChatGPT, I still spend 45 minutes rewriting to fit the district rubric,” one administrator noted.

    “When I think about the evaluation landscape, two challenges rise to the surface,” said Dr. Quintin Shepherd, superintendent at Pflugerville Independent School District in Texas. “The first is the overwhelming volume of information evaluators must gather, interpret, and synthesize. The second is the persistent perception among teachers that evaluation is something being done to them rather than something being done for them. Both challenges point in the same direction: the need for a resource that gives evaluators more capacity and teachers more clarity, immediacy, and ownership. This is where AI becomes essential.”

    What’s at stake

    School leaders are under tremendous pressure. Time and resources are tight. Achieving benchmarks is non-negotiable. There’s plenty of data available to identify patterns and understand what’s working–but analyzing it is not easy when the data is housed in multiple platforms that may not interface with one another. Generic AI tools haven’t solved this.  

    For teachers, professional development opportunities abound, and student data is readily available. But often they don’t receive adequate instructional mentoring to ideate and try out new strategies. 

    Districts that have experimented with AI to provide automated feedback of transcribed recordings of instruction have found limited impact on teaching practices. Teachers report skepticism that the evolving tech tools are able to accurately assess what is happening in their classrooms. Recent randomized controlled trials show that automated feedback can move specific practices when teachers engage with it. But that’s exactly the challenge: Engagement is optional. Evaluations are not. 

    Teachers whose observations and evaluations are compromised or whose growth is stymied by lost opportunities for mentoring may lose out financially. For example, in Texas, the 2025-26 school year is the data capture period for the Teacher Incentive Allotment. This means fair and objective reviews are more important than ever for educators’ future earning potential.

    For all of these reasons, the next wave of innovation has to live inside the required evaluation cycle, not off to the side as another “nice-to-have” tool.

    Streamlining the process

    My background at edtech companies has shown me how eager school leaders are to make data-informed decisions. But I know from countless conversations with administrators that they did not enter the education field to crunch numbers. They are motivated by seeing students thrive. 

    The breakthrough we need now is an AI-powered workspace that sits inside the evaluation system. Shepherd would like to see “AI that quietly assists with continuous evidence collection not through surveillance, but pattern recognition. It might analyze lesson materials for cognitive rigor, scan student work products to detect growth, or help teachers tag artifacts connected to standards.”

    We have the technology to create a collaborative workspace that can be mapped to the district’s framework and used by administrators, coaches, support teams, and educators to capture notes from observations, link them to goals, provide guidance, share lesson artifacts, engage in feedback discussions, and track growth across cycles. After participating in a pilot of one such collaborative workspace, an evaluator said that “for the first time, I wasn’t rewriting my notes to make them fit the rubric. The system kept the feedback clear and instructional instead of just compliance-based.”

    As a superintendent, Shepherd looks forward to AI support for helping make sense of complexity. “Evaluators juggle enormous qualitative loads: classroom culture, student engagement, instructional clarity, differentiation, formative assessment, and more. AI can act as a thinking partner, organizing trends, highlighting possible connections, identifying where to probe deeper, or offering research-based framing for feedback.”

    The evaluation process will always be scrutinized, but what must change is whether it continues to drain time and trust or becomes a catalyst for better teaching. Shepherd expects the pace of adoption to pick up speed as the benefits for educators become clear: “Teachers will have access to immediate feedback loops and tools that help them analyze student work, reconsider lesson structures, or reflect on pacing and questioning. This strengthens professional agency and shifts evaluation from a compliance ritual to a growth process.”

    Real leadership means moving beyond outdated processes and redesigning evaluation to center evidence, clarity, and authentic feedback. When evaluation stops being something to get through and becomes something that improves practice, we will finally see technology drive better teaching and learning.

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  • FTC Robot Build: Starter Kit and Drive Base Kit Upgrade Ideas

    FTC Robot Build: Starter Kit and Drive Base Kit Upgrade Ideas

    Quick Summary: Building a reliable, high-performing robot for the 2025-2026 DECODE Season is one of the most rewarding parts of the FTC robot build process. Whether your team is using the Studica Robotics FTC Starter Kit or the FTC Drive Base Kit, both systems provide a strong mechanical foundation. However, the real power lies in following an iterative design approach, where you prototype, test, analyze, and refine your robot over time.

    This article guides teams through practical, beginner-friendly methods to upgrade both kits while enhancing their engineering skills.

    Why Iteration Matters for Your FTC Robot Build

    One of the most valuable lessons in FTC is understanding that robots are not built once; they’re built over time. Every test, every failure, every small adjustment moves your team closer to a stable, high-scoring machine.

    Both Studica Robotics kits are designed to support that iterative design process:

    Iterating early and often helps teams:

    ➡️ Improve driving performance

    ➡️ Test mechanisms in real-world conditions

    ➡️ Make informed upgrades instead of guessing

    ➡️ Build confidence with hardware and mechanical systems

    The Engineering Cycle Behind FTC Iteration

    Iterative design in FTC is not a random trial and error process. It is a structured engineering cycle that mirrors professional engineering practices. Every improvement your team makes follows the same core steps found in professional engineering:

    Define → Ask → Imagine → Plan → Prototype → Test → Iterate

    Engineering Design ProcessThis cycle helps teams:

    ➡️ Identify what needs to change or improve

    ➡️ Explore constraints, rules, and existing solutions

    ➡️ Brainstorm multiple ways to solve the problem

    ➡️ Select an approach that fits strategy and resources

    ➡️ Build quick prototypes to try ideas early

    ➡️ Test designs on the field to gather real performance data

    ➡️ Refine based on what the tests reveal

    Using these steps gives teams a clear, repeatable method for refining mechanisms, improving scoring consistency, and strengthening overall robot reliability throughout the season. Review the full breakdown of the Engineering Design Process.

    How to Iterate Effectively During Your FTC Robot Build

    No matter which kit your team uses, these principles ensure smarter, safer iteration.

    ➡️ Make one change at a time to isolate what works and what does not

    ➡️ Test early and test often to see real performance in the field

    ➡️ Take pictures and document changes to save time during troubleshooting

    ➡️ Keep wiring organized to reduce disconnects and simplify servicing

    ➡️ Build with symmetry when possible to make balancing and reinforcement easier

    Iterating with the Studica Robotics Building System

    The Studica Robotics building system is designed for easy reconfiguration, ideal for rapid prototyping and refinement during an FTC robot build.

    The Studica Robotics Structure AdvantageThe Studica Robotics Structure AdvantageKey Advantages:

    Radial Hole Pattern:
    The unique hole pattern makes most structural pieces universally compatible, allowing parts to be easily repositioned or swapped.

    Versatile Structural Components:
    Available in multiple lengths and colors for refined prototyping:

    Easy to Swap and Adjust:
    Consistent hole spacing allows teams to:

        • Reinforce weak points
        • Add bracing
        • Change wheel types
        • Adjust motor layout
        • Mount sensors cleanly

    This flexibility is exactly what teams need when refining their robot design.

    Upgrading the Starter Kit for Your FTC Robot Build

    The FTC Starter Kit provides the baseline components for this season’s DECODE Starter Bot. It is designed to help teams:

    • Begin programming both autonomous and tele-op
    • Drive-test early
    • Understand drivetrain behavior
    • Work with OMS components
    • Add prototype mechanisms to the FTC Starter Bot to evaluate ideas early in the season.

    Once the Starter Bot is assembled and tested, teams can begin upgrading it.

    FTC Starter Kit Upgrade Ideas

    1. Add Low-Profile U-Channel Wheel Guards:
      Prevents field elements or other robots from catching on the drivetrain.
    2. Experiment with Different Flex Wheels:
      Different durometer (hardness) ratings affect how flex wheels compress and interact with game pieces, helping teams fine-tune intake behavior.
    3. Explore Motor Options:
      Studica Robotics offers Maverick HEX shaft motors with multiple planetary gearbox options available.
      Teams frequently choose between higher torque options and higher RPM options, depending on their drive strategy or mechanism needs.
    4. Reinforce the Chassis:
      Extra brackets or beams help maintain rigidity as mechanisms are added.
    5. Transition to a Mechanism-Ready Chassis:
      Many teams take the FTC Starter Bot’s scoring mechanism concepts and move them onto a more competition-ready Mecanum chassis. This helps teams learn:
      🔹 How to mount mechanisms cleanly
      🔹 How to maintain access to wiring
      🔹 How to improve scoring consistency

    FTC Starter Bot: Shooter on Mecanum Chassis

    This example takes the scoring system from the Studica Robotics FTC Starter Bot and places it onto a refined, competition ready Mecanum chassis. It’s a great starting point for teams looking to practice drivetrain control, get comfortable with strafing, and improve scoring efficiency.

    FTC Starter Bot: Wheel Guard Configuration

    This variation keeps the core Starter Bot design but adds wheel guards to boost durability and protect the drivetrain. The guards help prevent walls, other robots, and game elements from catching on the wheels or interfering with rotation.

    FTC Starter Bot Shooter with Mecanum WheelsFTC Starter Bot Shooter with Mecanum Wheels FTC Starter Bot with Wheel Guard blogFTC Starter Bot with Wheel Guard blog
    What it demonstrates:
    How teams can reuse a proven mechanism while upgrading mobility for smoother alignment, better field positioning, and more consistent scoring.
    What it demonstrates:
    A simple, low-effort upgrade that improves reliability without significant structural changes.

    Upgrading the FTC Drive Base Kit

    The FTC Drive Base Kit provides a complete mecanum drivetrain with omnidirectional movement, giving teams flexibility when designing mechanisms. Unlike the FTC Starter Kit, the FTC Drive Base Kit only provides the materials needed to create a drivetrain, giving teams total creative freedom to design their own scoring mechanisms.

    FTC Drive Base Kit Upgrade Ideas

    1.  Reinforced Mecanum Wheel Guards – Helps protect rollers during contact-heavy gameplay using:
      🔹 Standoffs
      🔹 T Brackets
      🔹 End Piece Plates
      🔹 Low-Profile U-Channels
    2. Vertical Motor Mounting – Some teams choose to mount motors vertically to create a clean underside with space for:
      🔹 Odometry
      🔹 Sensors
      🔹 Cable routing
    3. Leave Room for Sensors and Expansion – The area under the 288 mm U-Channels is ideal for:
      🔹 Odometry pods
      🔹 Distance sensors
      🔹 IMU stabilization mounts
      🔹 Future scoring mechanisms
    4. Improve Structural Rigidity – As teams add mechanisms, reinforcing the drivetrain with additional brackets or cross-members helps maintain frame strength.

    FTC Drive Base Kit: Protected Drivetrain with Odometry Support

    This version doesn’t include scoring mechanisms, but it features reinforced wheel guards designed to shield the Mecanum rollers and support the drivetrain during high-contact DECODE gameplay and space for odometry pods.

    FTC Drive Base Kit: Vertical Motor Mount for Under-Channel Odometry Space

    This design is a more competition-focused refinement of the FTC Drive Base Kit v2. The motors are mounted vertically, leaving a clean channel beneath the 288 mm U-Channels—perfect for odometry pods, sensors, or future add-ons. It also includes reinforced Mecanum wheel guards built using standoffs, T-brackets, end plates, and low-profile U-Channels to help protect the wheels from hard impacts.

    FTC Drivebase Kit with Wheel Guards and Odometry Kit Top ViewFTC Drivebase Kit with Wheel Guards and Odometry Kit Top View FTC Drivebase Kit vertical motor mount drivebaseFTC Drivebase Kit vertical motor mount drivebase
    What it demonstrates:
    Wheel guards and integrated odometry pods for more accurate autonomous tracking and movement.
    What it demonstrates:
    A clean, expandable layout optimized for sensors and autonomous performance.

    Frequently Asked Questions

    What’s the main difference between the FTC Starter Kit and the FTC Drive Base Kit?
    The FTC Starter Kit includes everything needed for a baseline Starter Bot. The FTC Drive Base Kit is drivetrain-only, giving teams full freedom to design.

    Do I need special tools to upgrade the FTC Starter Bot?
    No. The unique Studica Robotics hole pattern allows parts, motors, gears, and other components to connect easily without special equipment.

    Can I use the FTC Starter Bot for prototyping?
    Yes. Many teams test early mechanisms or scoring ideas on the FTC Starter Bot.

    Can the FTC Drive Base Kit support advanced mechanisms?
    Absolutely. Its open layout is designed for sensors, scoring systems, and expansion structures.

    Should I choose torque or high-RPM motors?
    It depends on your design. Many teams prototype with different planetary gearbox ratios on their motor to determine their preferred performance.

    Why is iteration so important in FTC?
    Each change helps teams improve reliability, score faster, and understand how mechanical decisions affect robot behavior.

    Where can I learn more about the engineering design process?
    Learn more here: Dive into Robotics with the Engineering Design Process

    Closing Thoughts

    Both the FTC Starter Kit and FTC Drive Base Kit give teams a reliable starting point for their FTC robot build. Most teams improve performance by using the design-test-refine process reinforcing structure and refining layouts throughout the season. These adjustments help teams understand mechanical behavior while gradually developing a more consistent robot.

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  • We Must Build Structures That Make Collaboration the Default

    We Must Build Structures That Make Collaboration the Default

    During National Transfer Student Week, I had the opportunity to present my dissertation findings. I was eager to share insights and connect with others doing similar work. Yet my excitement quickly gave way to disappointment: Multiple organizations were hosting overlapping events. Would anyone attend my session if there were other opportunities?

    That moment clarified, for me, a larger truth about the transfer ecosystem. Despite our shared commitment to improving outcomes for transfer students, we often work in parallel rather than in partnership. True, sustained collaboration remains one of the missing links in creating a more coherent and equitable transfer experience.

    Some Context 

    Collaboration should be the connective tissue of the transfer ecosystem. No single institution, system or organization can solve the challenges of transfer alone. When institutions, state agencies, employers and organizations work together, they have a better chance of building workable and successful pathways. The literature has increasingly suggested this point. Aspen et al.’s Tackling Transfer initiative implies that isolated campus reforms will not be entirely successful. 

    It emphasizes strengthening partnerships and using shared data and goals to make improvements. Similarly, both versions of the Transfer Playbook advocate success via intentional, ongoing partnerships.

    Professional associations echo this message. For example, the American Association of Collegiate Registrars and Admissions Officers’ new conference, called The Assembly, is rooted in collaboration across sectors and institutions to solve transfer and mobility problems. This shift positions the association as a platform for collaboration, not just a publisher of best practices. Likewise, the National Association of Higher Education Systems is spearheading initiatives in the transfer and mobility space because it understands the need to have system-level collaboration.

    These references send a clear message: Collaboration is an important strategy to improve the learner’s experience. This is a fundamental shift in our focus. When we center collaboration on the learner experience, rather than on the institution, it shifts the focus and the opportunities. Rather than designing projects around the interests of a single campus, foundation, or consulting contract, collaboration gives us the opportunity to ask, “What happens to the student through the educational journey that prevents successful transfer, and how do we solve that together?”

    Challenges and Opportunities

    As essential as it is, collaboration seems to be a challenge. To truly accomplish a collaborative network, institutions and agencies will need to look beyond their own boundaries. They need to be willing to pause their own goals to complement, support or provide an opportunity to another group. This has influential and financial implications, but it may end up being a better use of limited and shrinking dollars.

    Changing the nature of how we collaborate could afford more opportunities and have a big impact. Collaboration can be complicated for organizations whose funding depends on producing value through exposure, engagement or consulting revenue. Partnerships may overshadow individual organizational accomplishments and lead to future financial growth.

    For institutions, grant dollars for improving transfer are so highly competitive that they are sometimes impossible to obtain. More likely than not, funders are looking for the largest impact for their dollar, and that often translates into large-scale system- or statewide initiatives that will affect the most students or provide a large enough data set. That goal immediately eliminates small colleges from opportunities, further reducing the chance for improvement at the institutions that often need it the most.

    On campuses, the need for collaboration is just as clear. Advocating for transfer is not the job of a single person with “transfer” in their title. It requires coordinated action across admissions, advising, faculty governance, financial aid, registrar, student life and employer partnerships. AACRAO’s task force on transfer and the award of credit, for instance, highlights the importance of cross-functional teams in redesigning policies and communication so students experience a coherent—not conflicting—set of messages about how their credits move.

    Interestingly, the very reports we rely on for guidance point toward a different path. The Tackling Transfer work, for example, is grounded in multistate, cross-sector collaboration and explicitly calls for understanding the incentives and disincentives that shape institutional behavior around transfer. Lumina’s guidance on building local talent ecosystems emphasizes that durable change comes from coalitions willing to redesign systems together, not from one-off pilot projects.

    What If We …

    So, what might it look like to take collaboration seriously across the transfer ecosystem? Consider these collaborations:

    • Build shared agendas and calendars. National, regional and virtual events could be coordinated through a master calendar or hub so that transfer professionals aren’t forced to choose between overlapping webinars and conferences hosted by organizations that share the same goals.
    • Co-create tools and publications. Instead of each group producing its own tool kits and reports, organizations might collaborate on cross-branded resources that show how their frameworks align. Treat multiple opportunities as complements, not competitors.
    • Align state and regional efforts with institutional partnerships. The literature on national transfer reform emphasizes that systems and regions are critical units of change. State agencies, coordinating boards and foundations can use this insight to convene partnerships that bring institutions, employers and community organizations to the same table.
    • Elevate practitioners as collaborators, not just implementers. The most effective transfer-focused reports and research draw heavily on the expertise of people doing the day-to-day work of advising, curriculum design and transcript evaluation. Our collaborations should be built with, not just for, these practitioners.
    • Expand professional development and knowledge. Ideas could be to offer membership deals across organizations that support transfer students to engage more people in professional development opportunities amid decreasing budgets. Or, create a centralized repository or organization that can serve as a single source of information, rather than the plethora of sites, agencies, organizations and companies offering current professional development and resources.

    These aren’t small shifts. They require seeing ourselves not as competitors in the transfer space, but as collaborators of its progress.

    And So …

    If we truly want to strengthen the ecosystem, we must build structures that make collaboration the default and not the exception. Many of the publications we rely on and reference already pointing us there. The question is whether we will follow their lead, not just in language but in practice. By working together, we can move beyond fragmented efforts toward a shared vision of mobility, equity and opportunity for every learner who dares to transfer.

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  • 6 Effective Ways to Build Attention and Boost Student Participation – Faculty Focus

    6 Effective Ways to Build Attention and Boost Student Participation – Faculty Focus

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  • The AI Teammate: Three Roles to Build Student AI Fluency – Faculty Focus

    The AI Teammate: Three Roles to Build Student AI Fluency – Faculty Focus

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  • The AI Teammate: Three Roles to Build Student AI Fluency – Faculty Focus

    The AI Teammate: Three Roles to Build Student AI Fluency – Faculty Focus

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  • Efforts to build belonging may get the problem the wrong way around

    Efforts to build belonging may get the problem the wrong way around

    Back in January 2024, John Blake, the now-departing Office for Students’ Director for Fair Access and Participation, was talking about the future of access and participation plans.

    Alongside announcing additional groups of students who might be at risk – service children, young carers, prisoners, commuter students, parents, and Jewish students – noted that “sense of belonging” had appeared in lots of evidence reviews as relevant to many of the risks.

    I’d urge providers to think hard about practical, enduringly impactful work they might do around that idea as part of new APPs.

    Now that all the approved APPs are in, I’ve had a look at what providers are actually proposing.

    I’ve reviewed approved access and participation plans from across the sector in England, extracting every mention of belonging as a strategic priority, every identification of belonging deficits as a risk, and every intervention designed to address them.

    The result is a picture of how the sector understands and responds to belonging challenges. The pattern I’ve found is so consistent across provider types, mission groups, and geographical locations that it ought to amount to a sector-wide consensus about how to “do” belonging.

    The problem is that that consensus appears to be fundamentally at odds with what research tells us about how belonging actually works.

    The deficit model at scale

    Nearly every university identifies that specific disadvantaged groups – Black students, mature students, care-experienced students, disabled students, commuter students, students from IMD Quintile 1 – report lower belonging scores than their peers.

    They then design targeted interventions to address this deficit – peer mentoring schemes for Black students, mature student networks and “mingles”, care-experienced student buddy schemes, disability-specific student groups, commuter-specific transition support.

    The interventions are pretty homogeneous. Birkbeck is running “sustained programmes of Black Unity Events” to “provide a space for Black students to authentically be themselves, form connections and friendships”. Leeds Arts has created “My/Your/Our Space” – a “safer space and community relevant to background” specifically for students of minoritised ethnicities. Northampton has developed a “Black Excellence Programme” designed “to empower Black undergraduate students early on in their transition to level 4 courses with the confidence, sense of belonging and mattering to become resilient leaders and role models”.

    Greenwich has implemented the “Living Black at University Project to support BAME students develop a sense of belonging and community outside of the classroom”. Liverpool John Moores is “developing a Black students peer network via JMSU, focusing on creating a black student community”.

    It’s not just ethnicity. For mature students, East Anglia will “continue specific co-created sense of belonging opportunities for groups of students to meet socially” through a mature student network. Leeds is expanding a “middle ground network pilot” – “co-creating spaces (virtual, physical) for mature and ‘younger mature’ students to help develop a greater sense of belonging”. Bristol is implementing “enhanced mature student community building through mingles, student advocate-led events, and an extended mature student welcome and transition programme”.

    The pattern is almost identical across every characteristic. Care-experienced students get targeted belonging interventions at York (“Achieve HE program aims for increased sense of belonging socially and academically”), Durham (“dedicated mature learners coordinator” aims for “increased sense of belonging”), and Portsmouth (specialist support for “enhanced sense of belonging”). Disabled students get belonging-focused societies and groups. Commuter students get special spaces. And so on.

    Nearly every institution frames belonging as something that specific groups lack, and that requires special intervention to remedy. The language is consistent – students from disadvantaged backgrounds “may struggle to feel they fit in”, “can lack a sense of belonging at university”, “feel disconnected from their academics/tutors and/or fellow students”, and “feel isolated or unsupported from the moment they arrived at University”.

    The Wisconsin problem

    I’ve talked about this before here, but about a decade ago, there was a problem at the University of Wisconsin-Madison. Across a collection of STEM courses, there was a significant achievement gap between marginalised groups (all religious minorities and non-White students) and privileged students.

    Psychology professor Markus Brauer had an idea based on his previous research on social norms messaging – communicating to people that most of their peers hold certain pro-social attitudes or engage in certain pro-social behaviours.

    He started by trying out posters, then showed two groups of students videos. One saw an off-the-shelf explanation of bias and micro-aggressions. The other saw lots of students describing the day-to-day benefits of diversity – a “social norms” video revealing that 87 per cent of students actively supported diversity and inclusion.

    The latter video had a strong, significant, positive effect on inclusive climate scores for students from marginalised backgrounds. They reported that their peers behaved more inclusively and treated them with more respect.

    But by the end of the semester, the achievement gap was completely eliminated. Not through remedial support for struggling students, not through special programmes for disadvantaged groups, but through changing what everyone believed about what everyone else valued.

    The Wisconsin intervention didn’t create a “Black Student Success Program”, didn’t offer “enhanced support for marginalised students”, and didn’t build “safe spaces” for specific groups or train “allies” to support disadvantaged students. It told all students the truth about what their peers already valued – and behaviour changed dramatically.

    The research found that while most students genuinely valued diversity, they incorrectly believed their peers didn’t share these values, and the misperception created a false social norm that discouraged inclusive behaviour.

    Students who might naturally reach out across cultural boundaries held back, thinking they’d be the odd ones out. When you correct that misperception – when you say “actually, 87 per cent of your peers actively support diversity” – you transform intervention from an exceptional act requiring special training into standard behaviour.

    But most elements of the dominant APP approach do the opposite:

    • Wisconsin said: “Most students already value diversity – here’s proof”. UK universities say: “We need to create spaces where Black students can feel they belong”
    • Wisconsin said: “Inclusive behaviour is normal here”. UK universities say: “We’ll train mature students how to access support networks”
    • Wisconsin said: “Let’s change what everyone thinks everyone else believes”. UK universities say: “Let’s give disadvantaged groups the resources they lack”

    The Wisconsin research explicitly warns against the dominant approach. As the researchers note:

    “…empowering marginalised groups through special initiatives can paradoxically highlight their ‘different’ status, reinforcing the hierarchies we’re trying to dismantle.

    Power and perception

    To understand why the targeted approach fails, we need to examine how power operates in university settings. Brauer’s research identifies several key dynamics.

    Power shapes perception – those with social power tend to stereotype less powerful groups while seeing their own group as diverse individuals. Power also affects behaviour – powerful individuals act more freely, take bigger risks, and break social rules more often. In seminars, confident students dominate discussions while others remain silent – not because they lack ideas, but because power dynamics constrain their behaviour.

    Most importantly, power creates attribution biases. When powerful people succeed, we attribute it to their personal qualities. When less powerful people fail, we blame their circumstances. This creates self-fulfilling prophecies that reinforce existing hierarchies.

    The dynamics explain why traditional EDI initiatives often fail. Telling powerful groups they’re biased can actually reinforce stereotyping by making them defensive. Meanwhile, “empowering” marginalised groups through special initiatives paradoxically highlights their “different” status, reinforcing the hierarchies we’re trying to dismantle.

    For Brauer, the students don’t lack belonging. The institution lacks inclusive structures that make belonging feel normal. There’s a profound difference between “you need help fitting in because you’re different” and “this is how we all do things here – welcome to the crew.”

    Ticking the boxes

    So why are universities doing this? Partly because OfS asked them to think about belonging, partly because APP spend has to be “on” the disadvantaged groups, and partly because “we’re doing a thing” makes sense in a compliance environment.

    It’s easily documented, measurable by group, defensible to regulators, and demonstrably “doing something”. The Wisconsin approach would be much harder to report in an APP. How do you document “we told everyone that most students already value diversity”? Which “target group” got the “intervention”? What’s the “spend per head”? How do you prove that changing perceived social norms reduced the achievement gap when you didn’t target any specific demographic?

    As such, the APP architecture itself pushes providers toward deficit-model interventions. You can’t write “we’re going to make peer support universal and student-led because that’s just how induction works here”, because that doesn’t read as an access and participation intervention.

    You can’t write “we’re going to survey students and publicize that 78 per cent actively welcome international students”. That doesn’t look like you’re spending money on disadvantaged groups, or map onto the OfS risk register.

    The result is targeted compliance theatre that the evidence suggests will entrench the hierarchies it claims to dismantle.

    To be fair, universities are also responding to a genuine perception that students from disadvantaged backgrounds need additional support to succeed. And they’re not wrong about the support needs – they may be wrong about the delivery mechanism.

    When continuation, completion, and attainment gaps persist for Black students, care-experienced students, and students from deprived areas, the institutional instinct is to create support structures for those specific groups – it feels like the responsible, caring response. But in practice, they are initiatives that are characteristic first, student second. You need special help because you’re different.

    What would actually work

    What would an alternative approach entail? The research suggests five key departures from current practice.

    First is normalising rather than targeting. Instead of creating programmes that make intervention seem exceptional, universities would need to reveal what’s already normal. The Wisconsin approach costs almost nothing – a video, an email, some posters showing that 87 per cent of students actively support diversity. But it requires actually surveying students to discover (they probably would) that most already hold pro-social attitudes, then making that visible. “We surveyed 2,000 students here – 78 per cent actively welcome international students” changes the perceived norm without targeting anyone.

    Universal design rather than special fixes also matters. This means asking different questions. Not “what enhanced personal tutoring do disadvantaged groups need?” but “what if the default tutorial system worked properly for everyone?” Not “what mature student networks should we create?” but “what if study groups and peer support were structured to include all ages and backgrounds by default?” Not “what transition support do care-experienced students need?” but “what if induction assumed zero prior knowledge and no family support for everyone?”

    This wouldn’t mean removing targeted financial support or specialist services (hardship funds, mental health provision, disability services). Those remain separate. It’s about ensuring the basic architecture of belonging – induction, peer support, community-building – works for everyone by default rather than requiring special programmes for specific groups.

    Student leadership of essential functions matters too. European models show students running welcome week, managing housing cooperatives, delivering careers support, organizing social activities – not as add-ons but as how the institution functions. Belonging becomes structural rather than programmatic.

    The challenge there is that UK universities have spent decades professionalizing student engagement – student experience teams, transition coordinators, wellbeing advisors, residence life programmes, delivered by professionals, for students, rather than by students, for each other. Reversing this requires actually giving functions back to students, with appropriate support structures and (dare we say) compensation for significant roles.

    But most important is working on the advantaged. If you want Black students to feel they belong, the Wisconsin research suggests you work with white students to change what they believe about what their peers value. The achievement gap closed partly because white students changed their behaviour.

    If you want mature students to feel integrated, you create structures where all students work together on meaningful projects, where collaboration across demographics is normal and expected. If you want care-experienced students to feel they matter, you create environments where all students contribute to running their community, where everyone assumes they’ll both need help and provide it to others.

    Little of this appears in approved APPs, which at best read as well-meaning, and at worst like victim blaming. Whether alternatives could appear in a future APP iteration – whether the architecture of the APP process would even recognise these as access and participation interventions – is an open question.

    What happens now

    The challenge both for OfS and for universities is significant. Every APP currently includes detailed commitments to targeted belonging interventions, complete with evaluation frameworks and expected outcomes. Universities have staff, allocated budgets, designed programmes, and set objectives based on the deficit model approach. Rowing back isn’t straightforward.

    But the evidence is increasingly clear that the approach, however well-intentioned, is unlikely to work – and may indeed backfire. More fundamentally, the sector needs to grapple with some uncomfortable questions. If most UK students already hold pro-social and pro-diversity attitudes (and research suggests they probably do), why don’t they act on them? What structural barriers prevent students from forming friendships and study groups across demographic boundaries?

    John Blake asked for “practical, enduringly impactful work” around belonging. What universities have delivered is well-intentioned, carefully designed, and probably counterproductive.

    The good news is that what actually works – changing social norms, creating universal structures, enabling student leadership – is arguably easier and cheaper than what the sector is intending. The bad news is that it requires the sector to admit it’s been thinking about the problem the wrong way around.

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  • 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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  • Colleges build environmental lessons into degrees

    Colleges build environmental lessons into degrees

    by Olivia Sanchez, The Hechinger Report
    November 5, 2025

    LA JOLLA, Calif. — On a Thursday this fall, hundreds of students at the University of California, San Diego, were heading to classes that, at least on paper, seemed to have very little to do with their majors. 

    Hannah Jenny, an economics and math major, was on their way to a class on sustainable development. Angelica Pulido, a history major who aspires to work in the museum world, was getting ready for a course on gender and climate justice. Later that evening, others would show up for a lecture on economics of the environment, where they would learn how to calculate the answer to questions such as: “How many cents extra per gallon of gas are people willing to pay to protect seals from oil spills?”

    Although most of these students don’t aspire to careers in climate science or advocacy, the university is betting that it’s just as important for them to understand the science and societal implications of climate change as it is for them to understand literature and history, even if they’re not planning to become writers or historians. UCSD is perhaps the first major public university in the country to require all undergraduate students to take a class on climate change to earn their degree. 

    The requirement, which rolled out with first-year students last fall, came about because UCSD leaders believe students won’t be prepared for the workforce if they don’t understand climate change. Around the globe, global warming is already causing severe droughts, water scarcity, fires, rising sea levels, flooding, storms and declining biodiversity; leaders at UCSD argue every job will be affected. 

    And even as President Donald Trump dismisses climate change as a hoax and cancels funding for research on it, other colleges are also exploring how to ensure students are knowledgeable about the subject. Arizona State University began requiring that students take a class in sustainability last year, while San Francisco State University added a climate justice class requirement to begin this fall. 

    “You can’t avoid climate change,” said Amy Lerner, a professor in the urban planning department at UCSD. “You can’t escape it in the private sector. You can’t escape it in the public sector. It’s just everywhere.” Students, she said, must be made ready to engage with all of its likely consequences.

    Related: Want to read more about how climate change is shaping education? Subscribe to our free newsletter.

    UCSD, a public university that serves roughly 35,000 undergraduate students, is not demanding that everyone sign up for Climate Change 101. Instead, students can fulfill the requirement by taking any of more than 50 classes in at least 23 disciplines across the university, including sustainable development, the course Jenny is taking. 

    There’s also psychology of the climate crisis, religion and ecology, energy economics, and several classes in the environmental science and oceanography departments, among others. And leaders at the university are working to develop more classes that satisfy the requirement, including one on the life cycle of a computer.

    Bryan Alexander, an adjunct professor at Georgetown University and author of a book on higher education and the climate crisis, said that while colleges have long taught about climate change in classes related to ecology, climatology and environmental science, it’s only been in the last decade or so that he’s seen other disciplines tackle the topic. 

    Climate change, Alexander said, “is the new liberal arts” — and colleges should take it seriously. 

    K. Wayne Yang, a UCSD provost who served on the original group that advocated for the requirement, said every industry and career field will experience the effects of climate change in some way. Health care providers need to know how to treat people who have been exposed to extreme heat or wildfire smoke; psychologists need to understand climate anxiety; and café owners need to know how the price of coffee changes in response to droughts or other natural disasters in coffee-growing regions.  

    Jenny, the senior taking a class on sustainable development, is eager to get answers to a question that has, in their three years as an economics and mathematics major, become difficult not to ponder: How can economic growth be the silver bullet of societal change if it has so many negative consequences for the planet?

    “It’s definitely my hope that this is a class that will teach me something new about how to consider humanity’s path forward without destroying this earth, without destroying each other, without sacrificing quality of life for any person on this planet,” Jenny said. 

    Jenny isn’t subject to the requirement because they entered college before it rolled out. But they said they like the idea of encouraging students to step outside their comfort zones and fields of study and, in many cases, consider their future career paths in the context of the changing climate.

    Other students, like junior Pulido, don’t see a specific link between climate change and their future careers. Pulido, who has spent the last few years working in the visitors center at San Diego’s Balboa Park and aspires to work in museums, said she signed up for the gender and climate justice class simply because it sounded interesting to her. She believes climate change is important, and she’s hoping that taking this class will help give her a better idea of how its role in history and might play into her career.

    Related: How colleges can become ‘living labs’ for combating climate change  

    Colleges are taking different approaches to teaching their students about climate change, with some requiring a course in sustainability, a broad discipline that goes beyond the specific scientific phenomenon of climate change.

    At Arizona State, sustainability classes can cover anything about how human, social, economic, political and cultural choices affect human and environmental well-being generally, said Anne Jones, the university’s vice provost for undergraduate education.

    Dickinson and Goucher colleges have had such requirements since 2015 and 2007, respectively. 

    At San Francisco State University, leaders said they instead chose to require climate justice for all students, beginning with the class of 2029, because of the urgency of understanding how climate change affects communities differently. 

    Students need to understand broader systems of oppression and privilege so that they can address the unequal effects of climate change for “communities of color, low-income communities, global south communities and other marginalized communities,” said Autumn Thoyre, co-director of Climate HQ, the university’s center for climate education, research and action.

    Yang and other UCSD leaders believe that, despite the increased politicization of climate change under Trump, they’ve received little pushback on the new requirement because of the university’s reputation as a climate-concerned institution. (It descended from the Scripps Institution of Oceanography, initially founded in 1903.) But this model may not work as well on other campuses. 

    In communities where people’s livelihoods depend on activities that contribute to climate change, like coal mining or oil production, educators may have to modify their approach so as to not come off as offensive or threatening, said Jo Tavares, director of the California Center for Climate Change Education at West Los Angeles College. 

    “Messaging is so important, and education cannot be done in a way that just forces facts upon people,” Tavares said. 

    Related: One state mandates teaching about climate change in almost all subjects — even PE

    At UCSD, to meet the graduation requirement, a course must be at least 30 percent about climate change: For example, a class that meets twice a week for a 10-week term must have at least six of its 20 sessions be about climate change. And the course syllabus must address at least two of the following four categories: the scientific aspects; human and social dimensions; project-based learning; or solutions.

    The first time Lerner, the urban studies professor, applied for her sustainable development course to count toward the requirement, in July 2024, the committee told her she needed to better explain how the class addressed climate change. It wasn’t enough to simply have “sustainable” in the course name, committee members told her; she had to better articulate the role of climate change in sustainable development, a course she’s been teaching some version of for nearly 20 years. 

    Her students helped her go through the syllabus and identify all the points where she was teaching about how development contributes to climate change, even if she wasn’t explicitly putting those words to paper. After Lerner revised the descriptions of the class topics and made a few additions, the class was approved, she said. 

    On that fall Thursday, Lerner walked around her large glass-walled classroom while discussing development and globalization with the 65 undergraduate students in her sustainable development class. They covered how to balance equity, economy and environment in development, as well as various ways to measure the well-being of societies, including gross national income, food security, birthrate and infant mortality, happiness, fertility, education and lifespan. Lerner peppered her lecture with jokes and relatable examples, asking, for example, how many siblings students had before explaining the role of fertility and birth rate in a healthy society. (One student had 12, but the average was closer to two.)

    Lerner, who now chairs the committee that decides which classes meet the requirement, said most of her students come in with the understanding that climate change is caused by rising levels of carbon dioxide entering the atmosphere, and some have even used an online tool to calculate their own carbon footprints. Often, their education has been focused on the hard science aspect of climate change, but they haven’t learned about what society has experienced as a result of climate change, she said. 

    When she asks them what can be done about climate change, she said, “they’re deer in the headlights.”

    Related: Changing education could change the climate

    Across campus, economics professor Mark Jacobsen teaches a lecture class every Thursday night on the economics of the environment. It meets the climate change requirement, but it also covers a core economics idea, he said: achieving efficiency. 

    Jacobsen is teaching students the formulas and methods they’ll need to answer questions like whether it’s worth it to spend $1 billion now to build renewable energy sources to avoid $10 billion in natural disaster cleanup in 30 years.

    Though Jenny hasn’t taken Jacobsen’s class, this is exactly the type of dilemma they’re worried about. 

    Jenny, a public transit enthusiast so dedicated that they got a commercial driver’s license just to drive for Triton Transit, the campus bus system, said the requirement encourages students to face the climate crisis rather than shy away from it. 

    “It can be easy to kind of put your head down and be like, ‘That is too big for me to think about, and too scary,’” Jenny said. But it’s imperative, they added, that students be “forced to reckon with it and think about it and talk about it, to have that knowledge kind of swirling around in your head.” 

    Contact staff writer Olivia Sanchez at 212-678-8402 or [email protected]

    This story about climate literacy was produced by The Hechinger Report, a nonprofit, independent news organization focused on inequality and innovation in education. Sign up for our climate and education newsletter and for our higher education newsletter. Listen to our higher education podcast.

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