School Board Governance

💡 Learning in the Age of the Machine: AI Policy and the Future of Education, a whitepaper. The education sector quietly crossed a threshold this year: AI is no longer an experiment in classrooms. It is infrastructure. Teachers plan lessons with it, students complete assignments through it, and policymakers are scrambling to civilise its use. In the UK and acrosss Europe particularly, new governance is forming: • UNESCO is setting the moral horizon of equity, agency, transparency. • The EU AI Act and the Council of Europe AI Convention are binding these ethics into law. • The UK Department for Education has issued its most comprehensive guidance yet, calling the biggest risk “doing nothing.” Yet beneath the policy momentum deep tensions remain. 1. How do we balance innovation with integrity? 2. How do we make AI an instrument of equity, not advantage? 3. And how do we preserve human judgment in systems built to automate it? These are civic questions that the education sector can be one of the first to ask. It will decide whether the next generation learns with AI or through it. I had the opportunity to explore these ideas for the Think Tank, Saviesa, in a new whitepaper, “Learning in the Age of the Machine: AI Policy and the Future of Education”, which maps the converging themes now shaping global and UK policy: 1️⃣ From experimentation to governance 2️⃣ Human agency and the teacher-in-the-loop 3️⃣ Equity and access 4️⃣ Transparency and data 5️⃣ Pedagogical redesign and AI literacy As I wrote, AI may teach us to predict but education must still teach us to choose. If you’re working on AI strategy, policy, or learning innovation, do reach out to myself or Saviesa to access the paper. Saviesa Think Tank , Leonor Diaz Alcantara #AIpolicy #AIwhitepaper #education #educationpolicy

#Transformation in #Education Over the next decade Here’s how this transformation might unfold: 1. #Personalized #Learning: Adaptive Learning Platforms: Education will increasingly leverage AI-driven platforms that tailor lessons, assessments, and feedback to individual student needs, learning styles, and paces. This will allow for more customized learning experiences, where students can progress at their own speed. Data-Driven Insights: Schools will use data analytics to track student progress more effectively and identify areas where each student needs more support or challenge. 2. #Blended and #Hybrid #LearningModels: Flexibility in Learning Environments: The pandemic accelerated the adoption of online and hybrid learning models, and this trend is likely to continue. Students will have more options to learn in a combination of in-person and virtual settings, allowing for greater flexibility and accessibility. Global Classrooms: Technology will enable more cross-cultural and international collaboration, with students participating in global classrooms and working on projects with peers from different parts of the world. 3. Focus on #Skills Over #Content: Shift to Competency-Based Education: There will be a stronger emphasis on developing critical skills like problem-solving, creativity, collaboration, and emotional intelligence rather than merely memorizing content. This shift will prepare students better for the demands of the modern workforce. Lifelong Learning: Education systems will place more emphasis on lifelong learning, encouraging continuous skill development throughout an individual’s career, rather than focusing solely on formal education during the early years. 4. Enhanced Role of #Teachers: Facilitators and Coaches: Teachers' roles will evolve from being content deliverers to facilitators of learning, guiding students in their personalized learning journeys and helping them develop the skills needed to succeed. Professional Development: Continuous professional development for educators will become more critical, with a focus on integrating new technologies and methodologies into their teaching practices. 5. #Equity and #Inclusion: Closing the Digital Divide: Efforts to ensure all students have access to the necessary technology and resources will be a priority, reducing disparities in educational opportunities. Inclusive Curricula: There will be a push for curricula that are more inclusive of diverse perspectives, backgrounds, and cultures, promoting a more equitable and holistic education for all students. 6. Alternative #Credentialing: Micro-Credentials and Badges: Traditional degrees may be supplemented or even replaced by micro-credentials, certificates, and digital badges that recognize specific skills or competencies. Recognition of Informal Learning: More value will be placed on informal and experiential learning, with students able to gain recognition for skills acquired outside of traditional educational settings.

𝗔𝗜 𝗶𝘀 𝘁𝗲𝗮𝗰𝗵𝗶𝗻𝗴 𝗯𝗲𝗳𝗼𝗿𝗲 𝘄𝗲’𝘃𝗲 𝗮𝗴𝗿𝗲𝗲𝗱 𝗼𝗻 𝘁𝗵𝗲 𝗿𝘂𝗹𝗲𝘀. From classrooms to policy rooms, the pace is dizzying. ⚠️ But beneath the hype lies a deeper tension: ►Who benefits? ►Who gets left behind? ►What happens to teachers, learners, and the meaning of learning itself? Here’s what the latest insights from UNESCO book reveal and why we need to rethink how AI fits into education. ➡️ Disruptions Already Here ▪️ Generative AI blurs the line between cheating and learning. ▪️ Assessment systems risk becoming obsolete overnight. ▪️ Hyper-personalization could turn classrooms into echo chambers. ➡️ Powers & Perils of AI ▪️ AI in education must be intentional, not assumed. ▪️ Universities risk being shaped by commercial interests. ➡️ AI Pedagogies & Assessment ▪️ Machines can’t replicate human nuance. ▪️ Hyper-personalization may isolate learners—education must stay social. ▪️ Adaptive learning risks filter bubbles. ▪️ AI challenges fairness and the meaning of assessment. ▪️ With care, generative AI can enable learner-driven evaluation. ➡️ Human Teachers at the Core ▪️Teachers are irreplaceable. AI should support, not override. ▪️Compassion must be built into AI design. ➡️ Ethics & Governance ▪️Ethics must be designed in, not added on. ▪️AI governance needs democratic participation and accountability. ➡️ Coded Inequalities ▪️Inclusion must be intentional. ▪️AI should empower marginalized learners, especially young women. ▪️Risk of exclusion is real. ➡️ Reimagining Policy ▪️Human + machine = new policy frontier. ▪️Policies must be evidence-based, globally aware, locally adaptable. ➡️ The Path Forward ▪️Embed AI literacy across all levels of education. ▪️Build governance frameworks that balance innovation with ethics. ▪️Prioritize inclusion so AI lifts every learner, not just the privileged. 💥 Bottom Line Get this wrong, and we risk creating a generation more dependent than empowered. Get it right, and we unlock a future where AI scales equity, creativity, and lifelong learning. 👉 Can machines truly understand the human nuance of teaching and learning? Prof. Dr. Ingrid Vasiliu-Feltes|Helen Yu|JOY CASE|Hr Dr. Takahisa Karita|Antonio Grasso|Nicolas Babin |Alberto Espinosa Machado|Dr. Ram Kumar|Phillip J Mostert| Sara Simmonds |Anthony Rochand|Prasanna Lohar|Shalini Rao #AI #ResponsibleAI #Education #EducationandTech #TechforGood

🧠 Teaching the Machine to Teach: Ministries, AI, and the Future of Learning by EdTech Hub 📘 This learning brief explores how ministries of education in low- and middle-income countries are harnessing artificial intelligence (AI) to strengthen education service delivery. 🌍 It explains why AI matters—improving efficiency, equity, and data-driven policymaking—and how it’s being applied to automate administration, optimise teacher allocation, predict dropouts, and inform curriculum reform. ⚙️ 🤝 Supported by EdTech Hub, UNESCO, the World Bank, and innovation partners, these efforts demonstrate how AI can transform education governance—if guided by ethical frameworks, inclusive infrastructure, and robust local evidence. 🚀 1. 💡 What roles does AI play in education systems? 🤖 AI streamlines administration, enhances data analysis, predicts risks, and supports curriculum and policy design. It automates routine tasks, strengthens Education Management Information Systems, and enables evidence-based decisions. 2. ⚙️ Why is AI integration important for education ministries? 📊 AI improves operational efficiency, reduces costs, and offers real-time insights into student performance and institutional needs. It enables predictive analytics, optimises resource use, and drives targeted interventions—helping ministries overcome systemic barriers while promoting equitable, evidence-based. 3. 🌍 How are ministries using AI practically?   🏫 Countries use AI for attendance tracking, teacher deployment, and dropout prediction. Emerging tools like digital twins simulate education systems to test policies. 4. 🤝 Who is leading these initiatives?   🧭 Education ministries, with partners and national AI agencies, are leading adoption. Collaborations with research institutions and technology firms support pilot projects, frameworks, and ethical standards—ensuring solutions fit local needs and advance national education priorities responsibly and inclusively. 5. 🚀 What are the future priorities for AI in education?   🔍 Strengthening governance frameworks, investing in digital infrastructure, and generating robust evidence are essential. Ministries must prioritise equitable access, bias mitigation, and teacher training. Challenges ⚠️ 1. 📉 Limited empirical evidence and small-scale pilots hinder informed policy adoption. 2. ⚖️ Algorithmic bias risks reinforcing socioeconomic, gender, and regional inequalities. 3. 🖥️ Weak digital infrastructure limits scalable AI integration in LMICs. 5 policy maker recommendations 🧩 1. 🛡️ Establish ethical frameworks ensuring privacy and accountability. 2. 🌐 Invest in digital infrastructure for equitable AI access nationwide. 3. 👩🏫 Build teacher capacity for AI literacy. 4. 🔄 Promote iterative pilot testing before scaling AI applications. 5. 🤝 Foster public-private partnerships to support sustainable AI innovation. Source: https://lnkd.in/e8fu56N7

📣 𝐉𝐮𝐬𝐭 𝐑𝐞𝐥𝐞𝐚𝐬𝐞𝐝: 𝐖𝐡𝐚𝐭’𝐬 𝐍𝐞𝐱𝐭 𝐟𝐨𝐫 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧? 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐟𝐫𝐨𝐦 𝐎𝐄𝐂𝐃’𝐬 𝐋𝐚𝐭𝐞𝐬𝐭 𝐑𝐞𝐩𝐨𝐫𝐭 📚🌍 The newly published OECD Education and Skills report, 𝐓𝐫𝐞𝐧𝐝𝐬 𝐒𝐡𝐚𝐩𝐢𝐧𝐠 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧 𝟐𝟎𝟐𝟓, offers a compelling look at the forces shaping the future of education. From rising geopolitical tensions to rapid technological shifts, the report explores how education systems can respond to an evolving world. 🔍 Key themes explored: 📈 𝐀 𝐏𝐨𝐥𝐚𝐫𝐢𝐬𝐞𝐝 𝐖𝐨𝐫𝐥𝐝: Global conflicts, economic pressures, and social inequalities are deepening divisions. Education plays a vital role in fostering resilience, social cohesion, and equipping learners to navigate uncertainty. 💡 𝐍𝐞𝐰 𝐅𝐨𝐫𝐦𝐬 𝐨𝐟 𝐏𝐫𝐨𝐠𝐫𝐞𝐬𝐬: Technological innovation and global cooperation present opportunities for transformative change. AI, digital learning, and sustainability are redefining educational priorities, requiring a balance between foundational and future-ready skills. ⚔️ 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐨𝐧𝐟𝐥𝐢𝐜𝐭 𝐚𝐧𝐝 𝐂𝐨-𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧: With increasing displacement due to conflict and climate change, education systems must support affected learners while fostering peace and inclusion. 🏢 𝐖𝐨𝐫𝐤 𝐚𝐧𝐝 𝐏𝐫𝐨𝐠𝐫𝐞𝐬𝐬: As economies shift towards sustainability and digitalisation, lifelong learning is critical. Addressing inequalities and preparing people for evolving job markets is a pressing challenge. 🗣️ 𝐕𝐨𝐢𝐜𝐞𝐬 𝐚𝐧𝐝 𝐒𝐭𝐨𝐫𝐲𝐭𝐞𝐥𝐥𝐢𝐧𝐠: In a world of polarisation and misinformation, media literacy and critical thinking are essential to strengthen democratic participation and social cohesion. 💚 𝐁𝐨𝐝𝐢𝐞𝐬 𝐚𝐧𝐝 𝐌𝐢𝐧𝐝𝐬: Mental health is now a major global concern. Advances in health and assistive technologies can enhance inclusion and well-being in education settings. 🌱 𝐂𝐫𝐨𝐬𝐬-𝐜𝐮𝐭𝐭𝐢𝐧𝐠 𝐭𝐡𝐞𝐦𝐞𝐬: • Technology & AI: How can education embrace AI while ensuring equity and ethics? • Sustainability: Education’s role in climate action and green skills development. • Inequality: Ensuring fair access and opportunities for all learners. 🔮 𝐋𝐨𝐨𝐤𝐢𝐧𝐠 𝐚𝐡𝐞𝐚𝐝: The report presents future scenarios—continuation, transformation, or disruption—challenging us to think strategically about shaping resilient and inclusive education systems. 💭 𝐒𝐨𝐦𝐞 𝐤𝐞𝐲 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐜𝐨𝐧𝐬𝐢𝐝𝐞𝐫: • How can education adapt to rapid change? • What role does it play in shaping a sustainable future? • How do we better prepare learners for an uncertain world? The full report is a must-read for those in education, philanthropy, and policy. I’ll share the link in the comments below. Let me know your thoughts! 👇 #Education #SDG4 #TransformingEducation #FuturesThinking #AIinEducation #Inclusion #LifelongLearning #Sustainability

The greatest threat to universities today is not competition. It is irrelevance. We are educating a generation that thinks differently, learns differently, and aspires differently. Gen Z is not disengaged from learning — they are disengaged from outdated systems of learning. And this distinction is critical. Today’s students have grown up in an environment shaped by speed, access, interactivity, personalization, and constant innovation. Naturally, they expect the same from higher education. But many universities are still functioning through: • rigid academic structures, • outdated delivery models, • limited industry integration, and • systems that value compliance more than creativity. This mismatch is becoming one of the biggest structural challenges in higher education. If universities continue to operate traditionally, students will not only lose interest in classrooms — they may lose confidence in the relevance of the institution itself. The future of higher education will not be decided merely by infrastructure, approvals, or rankings. It will be decided by one question: Can the university remain meaningfully relevant to the learner of today and the world of tomorrow? That is why institutions now require a 360-degree transformation — not cosmetic reform, but deep academic and cultural reinvention. This transformation must include: > Curriculum redesign aligned with emerging careers and multidisciplinary learning > Experiential pedagogy replacing passive content delivery > Technology-enabled learning ecosystems beyond conventional classrooms > Faculty evolution from subject experts to mentors, facilitators, and innovators > Stronger integration of industry, research, startups, and global exposure > Student-centric governance that is agile, responsive, and future-focused A university can no longer survive by simply awarding degrees. It must create capability, character, confidence, and relevance. In the coming decade, successful universities will not be those that resist change in the name of tradition. They will be those that redefine tradition through innovation. This is not an era for incremental change. This is an era for institutional transformation. And the time to act is now. #HigherEducation #UniversityLeadership #GenZ #FutureOfEducation #AcademicTransformation #InnovationInEducation #NEP2020 #LeadershipInEducation #StudentCentricEducation #HigherEdReform

Reflection: this week AI News and the Urgent Call to Transform Education The AI headlines from this week are not just tech updates—they are signals of a global shift that education systems can no longer afford to ignore. The U.S. national AI action plan, the rise of autonomous AI agents, the cost-cutting impact of AI on hiring, and even the way Google’s AI summaries are reshaping information access—these developments point to a future where AI is not a support tool, but a decision-maker, content creator, and labor force in its own right. For education, this brings both opportunity and responsibility: 1. The Learning Model Must Evolve We can no longer rely on knowledge delivery as the core function of education. When AI can summarize, explain, and even tutor, our role is to teach students how to navigate ambiguity, ask the right questions, and make ethical decisions. Learning must become exploratory, critical, and human-centered. 2. Critical Thinking is the New Literacy As AI shapes what learners see online (e.g., Google summaries), we risk raising a generation that consumes filtered knowledge passively. We must actively teach how to question AI-generated outputs, seek original sources, and recognize bias in algorithmic decisions. 3. AI Fluency Will Define Employability With companies like ServiceNow reducing hiring thanks to AI, the message is clear: jobs that can be automated will be. Educators need to help students develop complementary skills—creativity, ethical reasoning, system design, and AI-human collaboration. 4. Equity and Governance Must Be Taught Today’s AI policy changes and the BRICS call for global AI governance show that who controls AI matters. Students must be exposed to conversations around digital rights, sovereignty, and global inclusion, especially in developing regions. Final Thought We often speak of “preparing students for the future,” but today’s news reminds us the future is now. Education must not lag behind policy and enterprise—we must lead, question, and shape the role of AI in society. If we get this right, we don’t just adapt to change—we equip students to drive it.

The ground beneath our education and employment systems is shifting—fast. This is not a critique, nor an endorsement. But it is an observation I cannot ignore. At Rishihood University, I increasingly see that what society values as expertise is changing. Traditional markers—elite credentials, seniority, theoretical mastery—are being replaced by indicators that feel more immediate and actionable: industry experience, youth relatability, and digital visibility. Why is this happening? Some possible reasons: - Information Abundance, Attention Scarcity: With knowledge freely available online, the ability to execute becomes more prized than the depth of understanding. People want guides, not just theorists. - Disillusionment with Institutions: Many institutions that symbolized trust—academia, media, bureaucracy—have, in public perception, grown too ideological or slow to adapt. Credibility now has to be earned, not inherited. - Tech-Centric Economy: The economy rewards those who build, launch, and scale—skills honed in industry rather than in research. Learners want to emulate builders, not theorists. - Youth Culture and Identity Economy: In a hyper-social world, identity, relatability, and peer influence carry more weight than seniority. Learners want role models who speak their language. - RoI Mindset in Education: Families and students view education through the lens of returns—jobs, salaries, and startup opportunities. Relevance trumps rigor. What are the long-term consequences if this trend continues? - Higher education will split into two tracks: One, pragmatic, fast-moving, industry-integrated. The other, slower, more philosophical and civilizational—but possibly sidelined unless strongly championed. - Faculty roles will transform: The future university will need faculty who are not just teachers or researchers, but also builders, mentors, co-founders, and communicators. - Universities will be judged by outcomes, not prestige: Rankings and accreditations will matter less than portfolios, placements, and patents. - Depth and wisdom may become a scarcity: As execution gains currency, reflection may lose ground. Civilizations don’t fall because they stop building—but because they stop thinking. - Reputation will be public-first, not peer-first: Scholars and leaders will be required to engage openly with the public. Private reputation in closed academic circles will no longer be enough. I am not making a value judgment—yet. But the shift is real, and accelerating. The question is not whether we approve of it, but how we prepare for it—and whether we can guide it toward a higher purpose - and that is our attempt at Rishihood University. Join us to shape the future of education!

Over the past several weeks, I’ve been writing about a simple but increasingly urgent idea: scale is becoming a structural requirement in higher education. But scale, on its own, is not enough. Institutions around the world are collaborating to build capacity they cannot generate on their own. But collaboration introduces interdependence. And interdependence requires governance that can align decisions, data, and resources across institutional boundaries. Today, I’m sharing the final two posts in this series. Part V examines why collaborative efforts fail - not because the models are wrong, but because institutions underestimate what it takes to execute them. It introduces a practical diagnostic to help leaders identify where governance gaps will undermine otherwise well-designed collaborations. Part VI steps back and distills the central lesson: the future of higher education will not be determined by which institutions grow the fastest, but by which institutions and systems learn to operate deliberately at scale. Across the series, one conclusion stands out: Scale buys time. Governance determines whether that time becomes resilience or simply delays decline. You can read the final two posts here: Part IV From Choice to Execution: Why Collaborative Scale Fails and How (https://lnkd.in/eN7sEVVg) Part V Governing for Scale: What Leaders Must Do Now (https://lnkd.in/eX2uSij6) I have also published the governance tools, including a - governance taxonomy (https://lnkd.in/e4mnu3Ue), - readiness diagnostic (https://lnkd.in/eYbc5AH9), and - maturity model (https://lnkd.in/edqkt9c5). Oh. And governance is not the end of the story. In the next blog series, I'll focus on university and college systems in the US, the drivers of risk and resiliency, and strategies to ensure they continue to serve as agents, affordably and sustainably, driving progress and performance across a large swath of US higher education. There, in those analytics, and in those stories, we can see the interaction of the various factors that shape how, whether, and to what extent scale drives performance - the conditions in which it turns multi-institution collaboration into outcomes that matter for students, institutions, and society. That was a labor of love lasting months. Some of the results are surprising - surprised me, at least. And I am excited to share them. But that's for next week. Today, we conclude our series on governance.

This article from The Chronicle of Higher Education, October 27, 2025, underscores the argument of my essay about a dangerous trend in American higher education, namely, the rise of all powerful boards, as reflected in the woes that threaten to bring the great University of Chicago to its knees. “How did this happen? The answer lies in a national trend, which even a faculty with the financial expertise of Chicago’s could not resist. This trend is the total power of Boards of Trustees — self-appointed, self-reproducing, and answerable to no discernable public or regulatory scrutiny, not even to the presidents they hire, assess, and fire. Indeed, the growth of the power of the board is one of the most important transformations in American colleges since at least the 1990s. University presidents themselves live in the shadow of their boards. A remarkable amount of presidential time goes into meeting board expectations, negotiating board politics, managing board meetings and titrating news of campus tensions to boards. The provost and the deans are left to manage student recruitment, faculty hiring and promotion, curriculum, and campus life. Presidents are also expected to be fund-raisers, but a great deal of fund-raising turns on board-generated nudges, networks, favors, and of course their own quasi-obligatory donations.” https://lnkd.in/eK-ZNBJc American higher education stands at a critical turning point. Political interference, demographic decline, financial strain, leadership churn, and technological disruption are converging into a structural crisis of confidence. This essay argues that governance lies at the heart of both the problem and the solution. Boards that are too large, donor-driven, or politically captured often substitute performance for purpose, weakening institutional autonomy and eroding public trust. The impact is most visible at HBCUs, where underfunding and fragile board-president relations magnify every vulnerability. Drawing on cross-Atlantic research, sector data, and leadership case studies, the essay proposes a pragmatic path forward: right-size boards to strengthen judgment and speed; professionalize trusteeship through clear roles, training, and evaluation; rebuild shared governance and data literacy; and develop institutional “umbrellas” that lawfully shield campuses from coercive policies while protecting academic freedom. Governance is not ceremonial; it is consequential. Trustees, presidents, policymakers, and donors must see it as the core of institutional vitality. When boards align mission, market, and model, universities can once again serve as engines of opportunity, innovation, and democratic renewal. The future of higher education depends on courageous, strategic, and principled stewardship.