Technology In Education

🌍 UNESCO’s Pillars Framework for Digital Transformation in Education offers a roadmap for leaders, educators, and tech partners to work together and bridge the digital divide. This framework is about more than just tech—it’s about supporting communities and keeping education a public good. 💡 When implementing EdTech, policymakers should pay special attention to these critical aspects to ensure that technology meaningfully enhances education without introducing unintended issues:  🚸1. Equity and Access Policymakers need to prioritize closing the digital divide by providing affordable internet, reliable devices, and offline options where connectivity is limited. Without equitable access, EdTech can worsen existing educational inequalities.  💻2. Data Privacy and Security Implementing strong data privacy laws and secure platforms is essential to build trust. Policymakers must ensure compliance with data protection standards and implement safeguards against data breaches, especially in systems that involve sensitive information.  🚌3. Pedagogical Alignment and Quality of Content Digital tools and content should be high-quality, curriculum-aligned, and support real learning needs. Policymakers should involve educators in selecting and shaping EdTech tools that align with proven pedagogical practices.  🌍4. Sustainable Funding and Cost Management To avoid financial strain, policymakers should develop sustainable, long-term funding models and evaluate the total cost of ownership, including infrastructure, updates, and training. Balancing costs with impact is key to sustaining EdTech programs.  🦺5. Capacity Building and Professional Development Training is essential for teachers to integrate EdTech into their teaching practices confidently. Policymakers need to provide robust, ongoing professional development and peer-support systems, so educators feel empowered rather than overwhelmed by new tools. 👓 6. Monitoring, Evaluation, and Continuous Improvement Policymakers should establish monitoring and evaluation processes to track progress and understand what works. This includes using data to refine strategies, ensure goals are met, and avoid wasted resources on ineffective solutions. 🧑🚒 7. Cultural and Social Adaptation Cultural sensitivity is crucial, especially in communities less familiar with digital learning. Policymakers should promote a growth mindset and address resistance through community engagement and awareness campaigns that highlight the educational value of EdTech. 🥸 8. Environmental Sustainability Policymakers should integrate green practices, like using energy-efficient devices and recycling programs, to reduce EdTech’s carbon footprint. Sustainable practices can also help keep costs manageable over time. 🔥Download: UNESCO. (2024). Six pillars for the digital transformation of education. UNESCO. https://lnkd.in/eYgr922n  #DigitalTransformation #EducationInnovation #GlobalEducation

In the past few months, we've worked with partners who've run into the same challenge with AI adoption. They rolled out policies or guidelines without bringing people into the conversation first—no workshop, no consensus building, just documents that needed signatures or implementation. Unsurprisingly, the result was frustrated staff expected to enforce or follow rules they had no part in creating, and leaders facing resistance instead of adoption. Both AI policies and guidelines are critical for responsible AI adoption, but they have to be built intentionally, with stakeholders driving consensus, or they most likely won't work. After working with hundreds of districts, we've created the resource below. Here are the best practices we recommend. Policies are your compliance layer and are designed to protect your district. We suggest adaptations to existing: ✔️ Acceptable use policies ✔️ Data privacy/FERPA protections ✔️ Academic integrity standards ✔️ Cyberbullying policies (to add deepfakes) Guidelines are your change management layer. They are the "why" that brings people along. We recommend including the following in your AI guidelines: 💡 Vision for GenAI adoption across your district 💡 GenAI misuse/academic integrity response protocols 💡 GenAI chatbot and EdTech tool vetting processes 💡 Digital wellbeing, data privacy, and student safety practices 💡 Implementation tips and instructional supports 💡 AI Literacy training opportunities and expectations What matters most is that both policies and guidelines should be built with stakeholders, not handed down to them. They should evolve with feedback, evidence of impact, and technical advancements. In all of our guideline and policy development work, we always start with AI literacy. It's important to build foundational understanding across stakeholders so that when policies and guidelines are developed, people can contribute meaningfully to the process and understand the "why" behind what they're being asked to implement. Intentional stakeholder engagement isn't a nice-to-have. It's what we've seen drive adoption. #AIforEducation #GenAI #ChangeManagement #AI

🎯 UNESCO ’s new report “AI and the Future of Education” explores how AI is reshaping learning – and why this matters for the future of skills and VET. ✅ Here are the key takeaways: 🔍 Why it matters: ▪️It’s not just about technology – it’s about ethics, inclusion, pedagogy, and policy ▪️AI is no longer a passive tool – it’s becoming an active agent in education: tutors, assessors, even “companions”. ▪️This shift challenges what it means to learn, teach, and assess – raising big questions for TVET and lifelong learning systems. ▪️Equity gap alert: while 1/3 of humanity is offline, access to cutting-edge AI is concentrated among those with resources and linguistic advantage. 🌐 Main Themes & Insights 1️⃣ Inclusive AI futures: ▪️Urgent need to ensure AI does not deepen divides of gender, language, and access. ▪️Locally driven, participatory approaches for Global South and underrepresented learners. 2️⃣ Rethinking pedagogy & assessment: ▪️Hyper-personalization risks isolating learners and weakening teacher roles. ▪️Generative AI disrupts traditional exams – time to shift to continuous, formative, competency-based assessment. 3️⃣ Teachers at the center: ▪️AI should augment, not replace teachers. ▪️Emphasis on teacher AI literacy, co-design of tools, and safeguarding the relational core of education. 4️⃣ Ethics & governance: ▪️Build ethics of care by design – inclusion, transparency, accountability from the start. ▪️Address risks of data privacy, algorithmic bias, and concentration of power. 5️⃣ AI as a geopolitical and policy challenge: ▪️AI is now part of statecraft and global competition – education policy must adapt. ▪️From linear implementation to policy-as-learning – systems need agility and evidence-driven experimentation. 💡 For the VET community: ▪️ AI literacy is no longer optional – for learners, teachers, and managers. ▪️Work-based learning + AI tools can transform skills development – but only with ethical guardrails and human-centred design. ▪️The future of VET = blending technical skills, critical thinking, and digital responsibility. 👉 Read the full UNESCO report to explore how we can shape human-centred, inclusive AI futures in education – and why VET must lead the way. #AIinEducation #FutureOfSkills #VET #EthicalAI #LifelongLearning EfVET European Association of Institutes for Vocational Training (EVBB) European Vocational Training Association - EVTA EUproVET EURASHE eucen EU Employment and Skills Cedefop European Training Foundation OECD Education and Skills International Labour Organization WorldSkills International World Federation of Colleges and Polytechnics (WFCP) UNESCO-UNEVOC IEFP - Instituto do Emprego e Formação Profissional Agência Nacional Erasmus+ Educação e Formação Agencia Nacional SEPIE Erasmus Estudiar en España Teresa e Alexandre Soares dos Santos - Iniciativa Educação ENAIP Veneto

Emerging applications of neurotechnology and their implications for EU governance - A technology foresight study This new report European Commission provides an overview of recent developments in neurotechnology — technologies capable of reading from or modifying activity in the central nervous system. Some devices record information from the brain, others deliver stimulation to it — and increasingly, some do both. These technologies are advancing rapidly and are expected to have a profound impact on society. In the near future, neurotechnology may revolutionise the way we approach a wide range of policy areas: not only health and research, but also education, employment, security, law enforcement, digital governance and fundamental rights. The report explores recent advances in both brain-monitoring and brain-stimulation technologies, many of which are already being integrated into consumer and clinical devices. It offers a horizon scan of emerging applications and uses this landscape as a basis for posing critical governance questions to EU policymakers. Kudos to the authors: Antonia Mochan, Beth Parkin, Ph.D, João Farinha, and Gwendolyn Bailey, Ph.D. #Neurotechnology #Foresight #StrategicForesight #EU #Governance #EmergingTech #HorizonScanning #TechnologyPolicy

500 students share one computer in Niger. Yet they're conducting advanced physics experiments that students at elite schools can't access. The secret? WebAR turning basic smartphones into portable STEM labs. Think about that. In Sub-Saharan Africa, fewer than 10% of schools have internet. Student-to-computer ratios hit 500:1. Yet mobile subscriptions jumped from single digits to 80% in a decade. Students already carry the infrastructure—we just weren't using it right. Traditional EdTech Reality: ↳ VR headsets: $300+ per student ↳ Heavy apps requiring 5G speeds ↳ Labs costing millions to build ↳ Rural schools: permanently excluded The WebAR Revolution: ↳ Runs in any browser, optimized for 3G ↳ No app store, minimal storage ↳ Science scores improving 10-15% ↳ Every smartphone becomes a laboratory But here's what grabbed me: A physics teacher in rural South Africa has one broken oscilloscope. No budget. Her students scan printed markers, and electromagnetic fields pulse across their desks. They run experiments infinitely—no equipment damaged, no reagents consumed. One student told her: "Engineering is for people like me now. The lab fits in my pocket." What changes everything: ↳ Mobile-first matches actual connectivity ↳ Browser-based works offline ↳ Teachers need training, not new buildings ↳ Inequality becomes irrelevant The Multiplication Effect: 1 teacher with markers = 30 students experimenting 10 schools sharing content = communities transformed 100 districts adopting = educational equality emerging At scale = STEM education without infrastructure gaps We spent decades waiting for labs that won't arrive. Now any browser becomes one. Because when a student in rural Africa explores the same 3D molecules as someone at MIT—using the phone already in their pocket—you realize: WebAR isn't shiny technology. It's a quiet equaliser making world-class STEM education fit into 3G connections and $50 phones. Follow me, Dr. Martha Boeckenfeld for innovations where accessibility drives transformation. ♻️ Share if you believe quality education shouldn't require perfect infrastructure.

Emerging Technologies of 2025: #Innovation and Societal Impact . The World Economic Forum report spotlights breakthrough innovations poised to transition from scientific discovery to real-world application, aiming to catalyze dialogue and shape technology agendas. It details ten specific technologies, ranging from structural battery composites and osmotic power systems to #AI watermarking and engineered living therapeutics, explaining their novelty, development progress, and transformative potential across various sectors like #energy , #healthcare , and urban systems. •Key Themes of Emerging Technologies: The 2025 technologies reveal exciting patterns, often representing a convergence of fields: ◦Combining Energy Systems with Advanced Materials: This includes innovations like structural battery composites, which integrate energy storage within load-bearing structures, improving functionality and efficiency in transport. ◦Using Biological Approaches to Improve Human Health: Examples are engineered living therapeutics (genetically engineered microbes producing medicines in the body) and GLP-1s for neurodegenerative disease (repurposing drugs for Alzheimer's and Parkinson's). ◦Reimagining Industrial Processes for Sustainability: This involves technologies such as green nitrogen fixation for low-carbon ammonia production and nanozymes (laboratory-produced nanomaterials with enzyme-like catalytic properties). ◦Creating New Foundations for Trust in Connected Systems: This includes collaborative sensing (distributed sensors connected to AI systems for context-aware decisions) and generative watermarking (invisible markers in AI-generated content to verify authenticity) Each technology's overview includes its strategic outlook, ecosystem readiness, and the challenges to its widespread adoption, emphasizing their capacity to address complex global challenges and foster resilient, sustainable societies.

The Role of Virtual Reality (VR) in Education: A Game-Changer ✓ Explore Ancient Civilizations: Experience history without leaving the classroom—VR brings immersive learning to life! ✓ Medical Training Revolutionised: At Stanford, medical students simulate surgeries in a risk-free environment, enhancing their skills. ✓ Virtual Field Trips: Google Expeditions allows students to visit historical sites and geographical wonders, making learning more engaging. ✓ Interactive Learning with Labster: Virtual labs enable hands-on STEM experiments, boosting understanding and retention of complex concepts. ✓ Transformative Statistics: According to PwC, VR learners train four times faster and are 275% more confident in applying their skills.

We're witnessing the most significant transformation in learning since the industrial revolution. Automation will reshape 85% of jobs by 2025, creating a seismic shift in how we define professional competence. Here are the 10 key trends I think will reshape learning: 1. Continuous Skill Evolution: Traditional degrees are becoming stepping stones rather than final destinations. Professional relevance will demand constant skill updates across all career stages. 2. Inquiry-Driven Intelligence: Critical thinking and question-formulation skills will outweigh traditional metrics of intelligence. The ability to navigate complexity will become more valuable than storing information. 3. Experiential Learning Integration: Immersive technologies will bridge theory and practice. Simulation-based learning will become standard across industries, accelerating skill acquisition. 4. AI-Enhanced Personalization: Machine learning algorithms will revolutionize feedback mechanisms, offering real-time, personalized learning pathways based on individual performance patterns. 5. Global Collaborative Networks: Geographic barriers will dissolve in learning environments. Cross-cultural knowledge exchange will become integral to professional development. 6. Applied Knowledge Focus: The gap between learning and implementation will shrink dramatically. Real-world application will be embedded in the learning process. 7. Data-Driven Learning Design: Analytics will optimize learning pathways, creating efficient, personalized routes to mastery based on cognitive patterns and learning preferences. 8. Engagement-Optimized Content: Neuroscience insights will inform content design, maximizing retention through strategic emotional engagement and cognitive load management. 9. Micro-Credential Evolution: Traditional certifications will give way to granular skill validation, allowing for more agile career progression and skill demonstration. 10. Iterative Learning Models: Rapid experimentation will replace traditional learning cycles, emphasizing quick iteration and practical application over perfect execution. Which one do you agree with the most?

We’re entering a new era where computing power, intelligence, and decision-making are no longer limited by classical boundaries. Today, 𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠, 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, 𝐚𝐧𝐝 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 are not just buzzwords - they’re the backbone of the next global technological revolution. Yet many professionals, teams, and even organizations still struggle to fully understand how these technologies work, how they connect, and why they matter right now. In my latest in-depth research article, I break down these complex concepts into 𝐬𝐢𝐦𝐩𝐥𝐞 𝐞𝐱𝐩𝐥𝐚𝐧𝐚𝐭𝐢𝐨𝐧𝐬, 𝐬𝐭𝐨𝐫𝐲-𝐝𝐫𝐢𝐯𝐞𝐧 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬, 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐞𝐱𝐚𝐦𝐩𝐥𝐞𝐬, 𝐚𝐧𝐝 𝐟𝐮𝐭𝐮𝐫𝐞 𝐢𝐦𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 that every tech leader, innovator, and security professional needs to know. 🔮 𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 • How quantum processors use superposition & entanglement • Why qubits outperform classical bits in parallel computations • The future impact on cybersecurity, cryptography & drug discovery 🤖 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 • How AI systems learn, adapt & make decisions • Real-world applications reshaping industries: finance, health, cybersecurity • Why AI is becoming the new “digital co-pilot” for enterprises 🧠 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 • The architecture behind modern intelligence • How the human brain inspired today’s algorithms • Real examples: face recognition, recommendation engines, and anomaly detection 🌐 𝐌𝐨𝐬𝐭 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭𝐥𝐲: You’ll understand how these technologies interconnect and why mastering them will define the next decade of innovation, security, and digital transformation. Yugal Pathak "CyberYuvi" Santosh Khadsare Sanjeev Multani mh Service HAWK EYE FORENSIC Cyber Hepisha Center of Excellence Cybersecurity Cyber Security Association of India Cybersecurity Abhijeet Singh Mohsin Quresh Craw Security Dr. Rakshit Tandon Prof. (Dr.) Artie Bansall (PhD, MBA, BE, PMP) Samir Datt Adv (Dr.) Prashant Mali ♛ [MSc(Comp Sci), LLM, Ph.D.] Tushar Maurya Mohit Sambharwal Mohit Yadav Prof. (Dr.) G. K. Goswami IPS, DSc., LLD Ashish Singh Kuntal Uttar Pradesh State Institute of Forensic Science National Forensic Sciences University (NFSU) National Forensic Sciences University - Delhi Campus NATIONAL FORENSIC SCIENCE UNIVERSITY (Main Campus) NFSU - Guwahati Campus ISEA Phase - III Project NFSU Gandhinagar NFSU BHOPAL Rajiv Malhotra Cyint Technologies #QuantumComputing #ArtificialIntelligence #NeuralNetworks #EmergingTech #Cybersecurity #TechInnovation #FutureOfTechnology #AITech #DeepLearning #MachineLearning #DigitalTransformation #TechLeadership #QuantumRevolution #CyberAwareness #TechCommunity #InsideTech

#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.