How AI creates inequalities in education

☁️ Cloud AI runs on whatever device you have. Private schools get iPads; public schools could get transformation-the irony is hard to miss. 🚀 As someone working in both tech and business development, I see how cloud-based AI democratizes educational access. The infrastructure barriers are shrinking. The numbers tell the story: 🔹 Coursera's AI recommendations boost completion rates by 35% 🔹 IBM Watson Education improves student performance by 20% 🔹 Automated grading cuts assessment time by 70% 🔹 Quizlet users show 40% better retention rates 💡 What excites me most? Cloud AI doesn't require expensive local infrastructure. A basic device and internet connection unlock personalized learning, intelligent tutoring, and automated administrative tasks. But challenges remain real: •Data privacy concerns •Unequal internet access •Need for teacher training and support 🌟 The transformation isn't just about technology. It's about making quality education accessible regardless of school budgets or geographic location. From my experience in sales and data analytics, successful adoption requires understanding user needs first, technology second. Schools need solutions that work for their specific context. Cloud AI in education isn't the future anymore. It's happening now. The question isn't whether to adopt it, but how to implement it thoughtfully. 📚✨ #EdTech #CloudComputing #AIEducation

How Technology Has Positively Impacted Society Key Benefits Modern progress relies on technological advancements benefits. It changes how societies work and grow. Healthcare and education have seen big changes thanks to digital innovation.During the pandemic, remote tools kept businesses running. UA Grantham's online learning helped thousands of students keep learning.Pew Research found 52% of global citizens think technology has made life better. AI in he

How Technology Has Positively Impacted Society Key Benefits Modern progress relies on technological advancements benefits. It changes how societies work and grow. Healthcare and education have seen big changes thanks to digital innovation.During the pandemic, remote tools kept businesses running. UA Grantham's online learning helped thousands of students keep learning.Pew Research found 52% of global citizens think technology has made life better. AI in he

⏳ Teachers deserve more time for teaching, not paperwork. Many schools are experimenting with AI tools here and there—AI for lesson planning, AI for quizzes, AI for grading. But when used separately, these tools often create more work, not less. The real transformation happens when AI is implemented as a complete system: ✔️ Automating lesson plans, assessments & grading ✔️ Tracking student progress with real-time reports ✔️ Personalizing learning paths for each student ✔️ Freeing teachers from repetitive tasks 👉 This means teachers can focus on what truly matters: teaching, mentoring, and inspiring students. At Cyber Square, our AI Cloud Lab is designed as an all-in-one system for schools, helping computer teachers save hours every week while improving student outcomes. 💡 Principals and computer science teachers – what’s your take? Do you think schools should adopt AI as an integrated system rather than scattered tools? #CyberSquare #AIinEducation #EdTech #Teachers #SchoolLeaders #AICloudLab

AI didn’t replace my engineering skills — it boosted deployment efficiency by 80%. 🚀 The AI Revolution isn’t about replacing us — it’s about amplifying what we do best. Across industries, 75% of knowledge workers already use generative AI. But the real transformation happens when organizations combine AI adoption with skills-based hiring — studies show this can deliver 30% higher retention and 25% faster project delivery. In my role as an Embedded Systems Engineer, I’ve seen this in action. While integrating AWS IoT automation into device provisioning, AI didn’t replace our troubleshooting or debugging skills — it enhanced them. The result was an 80% improvement in deployment efficiency, along with stronger problem-solving practices. At the same time, I see the wider industry experimenting with edge AI frameworks (like TinyML) and hybrid cloud–edge setups (AWS Greengrass, etc.) to handle real-time inference on devices. These trends highlight how AI is steadily moving closer to the hardware layer — where embedded engineers play a key role. 🔑 Key insights: ✅ Skills matter more than credentials — LinkedIn reports skills-based hiring is 5× more predictive of success ✅ Continuous upskilling in AI literacy + embedded practices is critical ✅ Combining core engineering expertise with AI tools amplifies both speed and quality 💬 How is AI reshaping your workflows? Do you see it amplifying skills in your industry too? #AI #SkillsBasedHiring #FutureOfWork #EmbeddedSystems #ProfessionalDevelopment #IoT #AWS

𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗲𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗮𝘁 𝗮 𝗰𝗿𝗼𝘀𝘀𝗿𝗼𝗮𝗱𝘀. AI has dominated headlines with Generative AI, but the real disruption runs deeper—robotics, IoT, autonomous systems, and computer vision are reshaping industries faster than curricula can adapt. And yet, classrooms are still anchored in memorizing frameworks and dissecting historical cases. The problem? In a post-AI world, past patterns lose relevance at the pace of innovation. Employers don’t just want students who can recall—they need graduates who can 𝘥𝘦𝘤𝘪𝘥𝘦, 𝘢𝘥𝘢𝘱𝘵, 𝘢𝘯𝘥 𝘦𝘹𝘦𝘤𝘶𝘵𝘦 when there are no textbook answers. Institutions everywhere are experimenting, but academia moves carefully and cautiously. Meanwhile, the job market is moving three steps ahead. So what’s the way forward? There may not be a single, clear answer—but if we were to place a bet on the future of management learning, it would be on 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝘁𝗶𝗮𝗹, 𝗮𝗱𝗮𝗽𝘁𝗶𝘃𝗲, 𝗮𝗻𝗱 𝗴𝗮𝗺𝗶𝗳𝗶𝗲𝗱 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴. That’s why we’re building MSgames: to give students risk-free environments to apply, decide, collaborate, and fail forward—because the future of business education lies 𝘯𝘰𝘵 𝘪𝘯 𝘬𝘯𝘰𝘸𝘪𝘯𝘨, 𝘣𝘶𝘵 𝘪𝘯 𝘥𝘰𝘪𝘯𝘨. If you’re a faculty member or institution looking to prepare students for this new reality, let’s talk. 🔗 https://msgames.in | 📩 anusar.modi@msgames.in

Edge AI for Student Developers: Learn to Run AI Locally. AI isn’t just for the cloud anymore. With the rise of Small Language Models (SLMs) and powerful local inference tools, developers can now run intelligent applications directly on laptops, phones, and edge devices—no internet required. If you're a student developer curious about building AI that works offline, privately, and fast, Microsoft’s Edge AI for Beginners course is your perfect starting point. What Is Edge AI? Edge AI refers to running AI models directly on local hardware—like your laptop, mobile device, or embedded system—without relying on cloud servers. This approach offers: ⚡ Real-time performance 🔒 Enhanced privacy (no data leaves your device) 🌐 Offline functionality 💸 Reduced cloud costs Whether you're building a chatbot that works without Wi-Fi or optimizing AI for low-power devices, Edge AI is the future of intelligent, responsive apps. About the Course... #techcommunity #azure #microsoft https://lnkd.in/gNixTbpF

The Future of Higher Education is Here: Are We Ready? Digital transformation is no longer a buzzword in higher education; it's a reality reshaping our institutions at an unprecedented pace. Recent reports from leading publications like Nature and Inside Higher Ed paint a clear picture: the university of tomorrow will be a "Synergetic Campus," where humans and AI collaborate to create a more personalized, efficient, and accessible learning experience. Key Trends Redefining Learning: AI-Powered Personalization: With 86% of students already using AI, universities are responding with initiatives like AI-driven tutors available 24/7 and compulsory "AI fluency" courses. The goal? To democratize mastery-based learning and cater to individual student needs. The Rise of the "Synergetic Campus": By 2030, expect to see embodied AI in libraries, labs, and student services, handling everything from retrieving books to conducting hazardous experiments. This isn't about replacing humans but augmenting their capabilities, freeing up faculty and staff for more complex, creative, and empathetic roles. A New Tech-Stack for Education: The transformation is powered by a suite of technologies including AI, Machine Learning, AR/VR, IoT, and even Blockchain. These tools are creating more immersive and engaging learning environments, while also streamlining administrative tasks. Navigating the Challenges and Opportunities: This rapid evolution is not without its challenges. We must address ethical concerns, bridge the digital divide, and ensure that technology enhances, rather than hinders, critical thinking. However, the opportunities are immense. We have the potential to create a more equitable and effective educational ecosystem for all. What are your thoughts on the role of AI in higher education? #DigitalTransformation #HigherEducation #EdTech #AIinEducation #FutureOfLearning #Innovation '''

🚀 Digital Twins in Education – Future of Personalized Learning or a Step Too Far? I recently came across this thought-provoking question: "Are digital twins the future of personalized education or a step too far?" Digital twins – virtual replicas of physical systems – are already transforming industries like manufacturing, healthcare, and smart cities. Imagine applying the same concept to education: ✅ A digital twin of a learner that tracks progress, identifies gaps, and suggests tailored learning paths. ✅ Teachers empowered with real-time insights into student performance and engagement. ✅ Institutions designing adaptive curricula based on predictive analytics. The potential is huge: truly personalized education at scale. But it also raises big questions: ⚠️ How do we ensure data privacy and ethics are respected? ⚠️ Could over-reliance on AI models diminish the human connection in learning? ⚠️ Is every school and learner ready for this level of digitalization? 💡 My take: Digital twins could reshape education by making it smarter and more personalized—but only if we balance innovation with responsibility, inclusivity, and human touch. 👉 What do you think? Would you welcome a digital twin of your learning journey, or is it a step too far? #120DaysWithOluwabukolaAdesina #DigitalTwins #Education #EdTech #FutureOfLearning #AI

🔥 AI literacy trainers - update curriculum! Nvidia, worth $1T, builds 0 chatbots you're teaching your students about. Teach who controls the single scarce physical resource dictating the global pace of the entire AI industry: advanced GPU chips. I have seen countless AI literacy programs that treat AI models as pure software, ignoring the physical, energy-intensive infrastructure they run on. "What is machine learning?", "What is Generative AI?", "GenAI in business", "AI risks and limitations" - all great aspects to study, of course, but something important is missing here. Most courses present AI a free, readily available service, failing to address the immense capital and market control driving its development. Training that focuses only on prompts and applications equips students to be consumers of AI. If you want to prepare a new generation of AI builders, strategists, or investors, teach them about the technical limitations and economic power related to chips manufacturing. Even for a general audience, understanding the infrastructure and economic realities of AI is crucial as it directly impacts their lives as citizens, employees, and ethical consumers. Your students would appreciate it if you could help them turn into informed stakeholders ready to challenge and shape the future of the technology. #AILiteracy #AITraining