𝗔𝗜 𝗶𝗻 𝗘𝘅𝗮𝗺𝘀: 𝗪𝗵𝗮𝘁 𝗔𝗿𝗲 𝗪𝗲 𝗥𝗲𝗮𝗹𝗹𝘆 𝗧𝗲𝘀𝘁𝗶𝗻𝗴? 𝗗𝗮𝘆 𝟲: 𝗧𝗵𝗲 𝗠𝗶𝘀𝘀𝗶𝗻𝗴 𝗣𝗶𝗲𝗰𝗲 The real debate is not AI versus no AI. It is sequencing. 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗳𝗶𝗿𝘀𝘁. 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗻𝗲𝘅𝘁. 𝗔𝗜 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲 𝗹𝗮𝘀𝘁. This is not about nostalgia for traditional methods. This is about building capability in the right order. 𝗖𝗹𝗼𝘀𝗲𝗱-𝗯𝗼𝗼𝗸 𝗲𝘅𝗮𝗺𝘀 𝗯𝘂𝗶𝗹𝗱 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀. They force you to internalize core concepts, to develop mental models, to understand relationships between ideas without external scaffolding. 𝗢𝗽𝗲𝗻-𝗯𝗼𝗼𝗸 𝗲𝘅𝗮𝗺𝘀 𝘁𝗲𝘀𝘁 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻. They verify that you can use your knowledge in context, that you can navigate resources, that you can solve problems when reference materials are available. 𝗔𝗜-𝗲𝗻𝗮𝗯𝗹𝗲𝗱 𝘄𝗼𝗿𝗸 𝘁𝗲𝘀𝘁𝘀 𝘀𝘆𝗻𝘁𝗵𝗲𝘀𝗶𝘀 𝗮𝗻𝗱 𝗰𝗿𝗶𝘁𝗶𝗾𝘂𝗲. It verifies that you can evaluate AI output, refine it, extend it, and recognize its limitations. 𝗘𝗮𝗰𝗵 𝘀𝘁𝗮𝗴𝗲 𝗯𝘂𝗶𝗹𝗱𝘀 𝗼𝗻 𝘁𝗵𝗲 𝗽𝗿𝗲𝘃𝗶𝗼𝘂𝘀 𝗼𝗻𝗲. 𝗦𝗸𝗶𝗽 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝘀𝘁𝗲𝗽, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗿𝗲𝘀𝘁 𝗰𝗼𝗹𝗹𝗮𝗽𝘀𝗲𝘀. A student who never develops foundational knowledge cannot meaningfully apply it. A student who never learns to apply knowledge independently cannot effectively critique AI-generated applications. The skill of working with AI is real and valuable. But it is not a replacement for the skills that come before it. 𝗜𝘁 𝗶𝘀 𝗮𝗻 𝗲𝘅𝘁𝗲𝗻𝘀𝗶𝗼𝗻. This is where IIIT's experiment could go wrong. Not because allowing AI is inherently problematic, but because if it replaces foundational assessment rather than supplementing it, we end up with graduates who are fluent with tools but weak on fundamentals. The solution is not to ban AI from education. The solution is to be deliberate about when it enters the process. Build the foundation first. Then teach students how to build higher with AI assistance. 𝗧𝗵𝗮𝘁 𝘀𝗲𝗾𝘂𝗲𝗻𝗰𝗶𝗻𝗴 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 𝗺𝗼𝗿𝗲 𝘁𝗵𝗮𝗻 𝘁𝗵𝗲 𝘁𝗼𝗼𝗹 𝗶𝘁𝘀𝗲𝗹𝗳. 𝗧𝗼𝗺𝗼𝗿𝗿𝗼𝘄: 𝗪𝗵𝗮𝘁 𝗲𝘅𝗮𝗺𝘀 𝘀𝗵𝗼𝘂𝗹𝗱 𝗰𝗲𝗿𝘁𝗶𝗳𝘆. 𝗔𝗻𝗱 𝘄𝗵𝘆 𝘁𝗵𝗮𝘁 𝗹𝗶𝗻𝗲 𝗶𝘀 𝘄𝗼𝗿𝘁𝗵 𝗱𝗲𝗳𝗲𝗻𝗱𝗶𝗻𝗴. #AIinEducation #CurriculumDesign #HigherEducation #Learning #Assessment
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3 AI Skills Students should learn before 2027 A few days ago, I was talking to a friend about AI careers. He confidently said: “I’m learning everything — GenAI, Agents, RAG ..... etc Then I asked one simple question: 👉 “What problem are you trying to solve with AI?” Silence. That conversation made one thing clear 👇 Many students are collecting buzzwords, not skills. Here are 3 AI skills that will actually matter before 2027 👇 1️⃣ Problem thinking (before model thinking) Real AI work starts with: ○ Understanding the problem ○ Defining inputs and outputs ○ Deciding if AI is even needed Knowing models without problem clarity is useless. 2️⃣ Data sense Not fancy algorithms — data. Students should learn: ○ How messy real data looks ○ Why bad data breaks good models ○ How to clean, question, and interpret data AI systems fail more because of data than code. 3️⃣ Clear communication with AI (and humans) This includes: ○ Asking precise questions ○ Writing clear prompts ○ Explaining results in simple language If you can’t explain what your model does, you don’t understand it. Before 2027, the gap won’t be between AI vs non-AI people. It’ll be between: ○ Buzzword collectors ○ and problem solvers who use AI as a tool. What AI skill do you think students should focus on first? #ArtificialIntelligence #AIStudents #FutureSkills #LearningInPublic #TechCareers
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Using AI to Build Critical Thinkers, Not Just Content Consumers What if students could explore the same idea through the eyes of freedom fighters, scientists, activists, business giants—and then verify what AI tells them using real sources? That’s exactly what we designed through an AI-powered classroom activity focused on multiple perspectives and verification. 🔍 The Activity at a Glance Students: • Use AI to explore ideologies of different personality groups • Record AI-generated viewpoints • Cross-check insights with at least two credible sources (books, articles, research) • Compare, reflect, and present their findings The focus is not answers, but thinking. 🧠 Why This Matters ✔ Encourages critical thinking over blind acceptance of AI ✔ Builds research and source-verification skills ✔ Promotes empathy by exploring diverse perspectives ✔ Introduces ethical and responsible AI use early ✔ Makes learning interdisciplinary, engaging, and future-ready 📚 What Students Learn That AI is a powerful starting point, not the final authority. That ideas must be questioned, validated, and understood in context. That learning becomes deeper when curiosity meets responsibility. ✨ Activities like these help students move from “AI gave me the answer” to “I checked, compared, and understood the answer.” Let’s use AI not to replace thinking—but to strengthen it. #AIinEducation #CriticalThinking #FutureReadyLearning #DigitalLiteracy #StudentCenteredLearning #EdTech #ResponsibleAI
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#AI Is Making #Students Smarter — But Also #Lazier AI is not just changing #technology. It’s changing how students think. And the impact is double-edged. 1. Students Are Learning Faster Than Ever Today, a student can: understand #concepts in minutes #generate notes instantly debug #code with AI learn skills without #teachers AI = personal tutor. 2. But Effort Is Slowly Disappearing Many students now: copy answers without understanding skip thinking Rely fully on AI avoid #problem-solving 👉 Convenience is replacing curiosity. 3. The Real Gap: Thinkers vs Copy-Pasters In the future, there will be two types of students: 🧠 #Builders Use AI to explore question outputs create new ideas 🤖 #Dependents blindly use AI lack fundamentals struggle without tools The gap will be massive. 4. AI Won’t Replace Smart Students - It Will Expose Them AI doesn’t make everyone equal. It amplifies differences. Smart students → become unstoppable Lazy students → become irrelevant 5. The New Rule of Learning Don’t ask AI: “Give me the answer.” Ask AI: “Teach me how to think.” AI is not dangerous. Mindless usage is. The future belongs to students who use AI as a brain booster, not a #brain replacement. #SNSInstitutions #SNSDesignThinkers #DesignThinking #AI #Students #Learning #FutureEducation #GenAI
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We keep saying AI is helping education, but I’m not sure we’ve slowed down enough to ask what kind of education we’re actually building. Learning is supposed to be hard sometimes. You struggle with an idea, get it wrong, sit with the confusion, and eventually something clicks. That process matters. It’s how thinking muscles are built. But now, the incentive is speed. Faster essays. Faster grading. Faster answers. Students learn how to prompt instead of how to reason. Institutions optimize for efficiency instead of understanding. And quietly, the meaning of learning starts to thin out. AI isn’t the enemy. Used well, it can support curiosity and exploration. Used carelessly, it turns learning into just getting an answer and moving on. If universities become places where thinking is optional and automation is the default, we shouldn’t be surprised when degrees feel empty and learning feels shallow. The question isn’t whether AI belongs in education. The question is whether we’re willing to protect the parts of learning that can’t be automated. #Education #Learning #HigherEd #AI #CriticalThinking #ArtificialIntelligence
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We proudly organized “Sparks of AI”, an engaging and immersive workshop aimed at introducing the students of Mani School to the transformative landscape of Artificial Intelligence. 🤖✨ The session was thoughtfully structured to build a strong conceptual foundation, exploring key domains such as machine learning principles, practical real-world AI applications, and the ethical considerations that govern responsible technological advancement. The remarkable enthusiasm and intellectual curiosity displayed by the students reaffirmed an essential truth: AI literacy is no longer a supplementary skill—it is a critical competency for the next generation. By fostering early exposure to intelligent systems and digital innovation, we are not simply sharing technical insights; we are nurturing analytical reasoning, creativity, and solution-oriented thinking among young learners. Initiatives like this serve as stepping stones toward developing confident, future-ready individuals capable of thriving in an AI-driven ecosystem. We extend our heartfelt gratitude to the school administration for their valuable collaboration, our dedicated volunteers for their meticulous execution, and the inspiring young participants whose active engagement made the workshop a resounding success. Special thanks to Indhiran S and Deepadharshini G for their valuable contribution. #SparksOfAI #AIforEducation #DigitalEmpowerment #FutureReady #Coimbatore Indhiran S ,Deepadharshini G
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Where We Were → Where We Are → Where We’re Going 1. #WhereWeWere Knowledge was scarce Memorization was rewarded Speed and accuracy were human-limited Tools were restricted to preserve “fairness” 2. #WhereWeAre Knowledge is abundant AI assists writing, coding, research, and design Machine Learning predicts outcomes before humans notice patterns Education is conflicted: ban it, fear it, or ignore it 3. #WhereWe’re #Going (#Prediction) Here’s what the future will almost certainly look like: 🔹 AI Will Be Allowed - But Assessed Differently Just as exams changed after calculators, assessment models will shift: From memorization → reasoning From answers → decision-making From “what did you produce?” → “how did you guide the tool?” 🔹 #AILiteracyWillReplaceDigitalLiteracy Knowing how to use AI will not be enough. Learners will be expected to: Ask the right questions Detect bias and hallucinations Validate outputs Apply ethical judgment AI literacy will become as basic as reading and writing. 🔹 #MLWillShapeLearningPaths Machine Learning will: Predict learner strengths and gaps Personalize education in real time Recommend skills before the market demands them Education will move from reactive to predictive. 🔹 #EthicsWillBecomeaCoreSkill The future professional will not be judged only by competence, but by: Responsible AI use Integrity in attribution Alignment with human values AI will force education to finally teach character, stewardship, and accountability not just skills. The Real Question Is Not “#CanWeStopAI?” We couldn’t stop calculators. We couldn’t stop the internet. We won’t stop AI. The real question is: Will we train people to use AI wisely, ethically, and purposefully or leave them to figure it out alone? Those who train early will lead. Those who ban blindly will fall behind. Those who design frameworks will shape the future. #Final #Thought AI is not replacing humans. Humans who understand AI will replace those who don’t. Just like calculators once did.
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We teach students to finish a syllabus. The market asks them to solve a problem. That gap is now visible loudly. Here’s what’s changing right now: employers want proof you can do the work, not just a paper that says you studied it. Micro-credentials and short, job-aligned certifications are being treated as real evidence of ability. At the same time, AI literacy has become one of the fastest-growing skills. Even non-tech roles now expect people to use AI tools intelligently, not blindly. So for institutes, trainers and parents the question is simple: Are we still training students to collect certificates… or to build capabilities? If you were advising a student today, what would you prioritize first: a degree, a micro-credential, or real project experience? Mohammad Danish Curious to hear your take on this! #SkillIndia #MicroCredentials #AI #DigitalSkills #FutureOfWork #EdTech #CareerReadiness #IICS
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The Student AI Survival Guide | Byte 1: When AI tells you to eat glue. GenAI is incredible, but it has a dangerous flaw. It sounds the same whether it’s stating a brilliant fact or complete nonsense. Today's focus in our series on co-existing with AI is "hallucinations." I recently asked Google's AI search mode for a simple recipe tweak, and it confidently suggested adding non-toxic glue to increase tackiness??? Yes, it gets you scratching your head. But why does this happen, though? We have to remember that these tools aren't "thinking" logic machines. They are sophisticated "black boxes", probabilistic engines that predict the next likely word based on massive training data. They don't understand context or danger; they only understand word patterns. They do not care for your health! If we students want to co-exist with AI, we need discipline in how we review its output. Don't just plainly fill in and read the answers. Key Focus Areas for Students: •Verify, don't trust: Treat every piece of factual data (dates, citations, scientific claims) from AI as a draft that requires external verification. •Spot the "Confidence Trick": AI never hesitates. Be extra skeptical of definitive statements on niche topics, where it might be connecting unrelated dots. •Own the Logic: Use GenAI for brainstorming, structuring, or rephrasing, but ensure you are the one providing the critical thinking and logical flow. Key insight from today: The skill of the future isn’t just prompt engineering, it’s "output interrogation." A great paper co-authored with AI isn't defined by how fast it was generated, but by the human judgment applied to ensure it’s accurate. Don't let the black box replace your brain. Next up in the series: You are only scratching the surface of GenAI. #AIHallucinations #StudentLife #HigherEd #GenerativeAI #CriticalThinking #PromptEngineering #SIT #CareerNexus2026Roadshow
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🔍 Generative AI is rapidly becoming a powerful ally in higher education. From summarizing complex academic papers to helping students visualize ideas and build portfolios, AI is powering its role as learning accelerator. 💡 Tools like generative AI-powered document analysis and visual creation platforms are helping students think more creatively, solve problems faster, and communicate ideas more effectively. For educators, AI supports deeper engagement by enabling new ways to teach critical thinking, ethics, and real-world skills, not just grades and outcomes. 🌍 As industries increasingly demand creativity, adaptability, and digital fluency, universities worldwide are embracing AI not to replace learning, but to enhance it. The future of education is no longer just about consuming information, but about creating, experimenting, and telling meaningful stories with technology. 📩 Ready to explore how AI-powered systems can elevate your learning experiences? Contact us 👉 https://lnkd.in/gqkYkj3T #ArtificialIntelligence #AI #GenerativeAI #EducationTechnology #EduTech
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Two days ago, I found myself carefully reading new student guidelines related to AI. As I scrolled, a simple question kept coming back to me: Are students of this new AI generation truly privileged, or are we just assuming they are? For many, the immediate answer is “yes.” And as a millennial, I understand why. I still remember spending hours flipping through the Webster dictionary, digging into heavy encyclopedia volumes, or opening ten browser tabs just to triangulate one answer. What once took us an evening can now be done in seconds. From that perspective, AI is undeniably powerful. When used well, it frees up time, and allows people to focus on higher-level thinking, creativity, and problem-solving. That, to me, is real advantage. But working closely with students and professionals has also shown me the other side. When AI tools are overused—or worse, used mindlessly—they don’t expand thinking; they replace it. Copy-pasting instead of questioning. Generating instead of reflecting. In those moments, we’re not empowering the next generation, we’re quietly limiting their cognitive muscles. And that’s where privilege turns into dependency. AI is not the problem. In fact, staying up to date with AI is no longer optional, it’s essential! The real responsibility lies in how we integrate it into learning. Allowing students to use AI should come with clear boundaries and purpose: to challenge their thinking, spark ideas, refine arguments, and stretch their abilities, not to bypass effort or silence their own voice. Used wisely, AI can amplify human intelligence. Used carelessly, it can shrink it. That responsibility ultimately rests with us; as educators and leaders; to guide how this power is used.
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Series set up post https://www.linkedin.com/posts/saurabhguptaca_aiineducation-highereducation-assessment-activity-7414855877016576000-EmvV?utm_source=share&utm_medium=member_android&rcm=ACoAAASIg8cB1QavKE4jbnwXHB5hy1lzvDAtSwM