David Joyner on AI Avatars in Education: Transparency Matters

Universities are changing how students are tested — because of AI Many college professors are bringing back oral exams to reduce AI-assisted cheating. Schools like University of Wyoming, Vanderbilt, and UC San Diego are asking students to explain concepts face-to-face, instead of relying on take-home or online assignments that AI tools can easily complete. Why this matters: AI detectors are struggling to keep up Written answers are no longer proof of understanding Oral exams test thinking, clarity, and depth — not just output Students sit with a professor for a set time and explain ideas on the spot — something AI can’t fake (yet). Interestingly, some students say this approach: Improves real learning Reduces pressure to “game the system” Shifts education from policing AI → measuring understanding AI isn’t killing education. It’s forcing it to evolve. What do you think — should oral exams make a comeback in more fields? Follow Me (Akhil Meesala) For More AI Insights.

Each state has a department of education and government is moving at its own pace to focus on AI in education. With tasks forces, guidelines, and proposed bills all either done or in the works. Iron Hoof AI is focused on helping Athletic Departments and small businesses stay up to speed on the ever evolving AI landscape as a trusted advisor and source of reliable and verified information. More to come on these changes….

AI in Education – How Artificial Intelligence Is Transforming Learning in 2025 🔥 Introduction Education in 2025 is no longer limited to classrooms and textbooks.Artificial Intelligence (AI) is reshaping how students learn, teachers teach, and institutions operate. This blog explains AI in education, real use cases, benefits, challenges, and the future of learning. 🎓 Why Education Needs AI Traditional education faces issues like: One-size-fits-all learning Limited teacher attention Slow assessments…...

AI in education is neither the problem nor the solution. It can act as a shortcut that weakens learning—or as a support that strengthens it. The difference lies in how institutions design policies, learning outcomes, and expectations around AI use. When aligned with pedagogy, AI supports critical thinking, creativity, and independent learning. When left unchecked, it risks replacing them. The real question is not if AI should be used in education— it is how we ensure it supports learning, not shortcuts it.

⚡️ AI in Education: Practical Applications December 18, 11:45 Global Classroom 317 AICA, in collaboration with the AUT Office of Innovation and Entrepreneurship (OIE), is hosting a workshop for students focused on the practical use of artificial intelligence in the educational process. Participants will explore how AI is already transforming learning, enhancing productivity, improving research quality, and increasing teaching effectiveness. Workshop agenda: • How to apply AI in education • AI tools for students and educators • Real-world use cases of AI in education • Integration recommendations, ethics, and future-ready approaches 🔗 Registration https://lnkd.in/eZZMyaT8

After a recent conversation with a city leader, I was reminded of something I strongly believe about AI in education: There is no single audience. If we want AI implemented responsibly in school systems, the solution has to be built with three distinct stakeholders in mind: Teachers They need practical training, clear guardrails, and confidence in how AI supports instruction rather than replaces it. Parents They need transparency, trust, and a clear understanding of how AI is being used, protected, and governed. Students They need rules, not restrictions. When expectations are clear, students rise to them and learn how to use AI as a tool, not a shortcut. Real progress happens when we define the rules first, train each group intentionally, and then empower students to operate within those boundaries. That is how you build sustainable, ethical, and scalable AI adoption in education. I’ll continue sharing this perspective because meaningful change happens through repetition, clarity, and consistent outreach until the right communities are reached.

Everyone asks what AI can do in education. Very few ask who it actually helps. That question changes everything. Because when AI is built responsibly, the impact is clear: ⤷  Faculty get reduced evaluation load and consistent outcomes ⤷  Institutions get secure, auditable and accountable systems ⤷  Students get fair assessments and timely academic support This is where responsible AI stands apart. It’s not about replacing educators. It’s about supporting better decisions, without bias. When balance is built into the system, AI doesn’t automate education. It strengthens it. And when that happens, Everyone benefits.

AI is already in the classroom. Three workflows actually help; most others add friction. As a computer science student, I see the potential for AI in education. But implementation matters. Three educators shared practical approaches that work: 🎯 Start with clear objectives • Define learning goals first • Match AI outputs to grade level • Don't adopt tools without purpose 💬 Master prompt engineering • Provide context and specific roles • Include grade level and standards • Engage in multiple exchanges for better results 🤝 Set collaborative norms • Align with district guidelines • Involve students in AI literacy activities • Create consistent classroom policies The key insight? AI should support instruction, not replace it. Students need to understand both benefits and risks. Teachers need clear frameworks. When we approach AI thoughtfully, it becomes a powerful learning tool. What's your experience with AI in educational settings? hashtag #AIInEducation hashtag #EdTech hashtag #FutureOfLearning 𝐒𝐨𝐮𝐫𝐜𝐞: https://lnkd.in/gzzzcTtS …

How is AI impacting teachers, students, and the education system? 📚 70+ AI in Education Statistics — Key Findings: → 78% of students use AI to learn or study → 43% of teachers use AI to plan lessons 🤖 Yet… there’s a gap between AI usage and AI moderation: → Combined school + personal use cases: 85% of teachers & 86% of students use AI → 43% of teachers use AI detection tools regularly (2024-25) → Yet, teachers’ use of AI detection tools is rising, up from 39% (2023-24) 💡Maintain #AITransparency and accurately detect AI content in the classroom with Originality.ai + discover 70+ AI in education statistics (link in comments)👇 #OriginalityAI #AI #academia #education #AIineducation #teachers #students

Artificial Intelligence is transforming university applications, but not in the way you might think. There is a fear that AI removes the "human element" from education. At Lurniq, we see it differently. We believe AI is the ultimate tool for discovery. Our Smart Program Recommendation engine doesn't just look at grades. It analyzes: - Your unique academic background - Your specific career aspirations - Your geographic preferences - Complex program requirements The result? Personalized recommendations that match you with programs where you are statistically most likely to thrive, not just survive. This isn't about replacing human decision-making. It's about augmenting it with data-driven insights so you can make the best choice for your future. How do you feel about AI in education? Helpful tool or slippery slope? Let’s discuss below. 👇