{"id":95410,"date":"2025-05-12T18:12:19","date_gmt":"2025-05-12T22:12:19","guid":{"rendered":"https:\/\/danielschristian.com\/learning-ecosystems\/?p=95410"},"modified":"2025-05-12T19:05:16","modified_gmt":"2025-05-12T23:05:16","slug":"student-guide-to-ai-ai-isnt-just-changing-how-we-work-its-changing-how-we-learn-other-items-re-ai-in-our-les","status":"publish","type":"post","link":"https:\/\/danielschristian.com\/learning-ecosystems\/2025\/05\/12\/student-guide-to-ai-ai-isnt-just-changing-how-we-work-its-changing-how-we-learn-other-items-re-ai-in-our-les\/","title":{"rendered":"“Student Guide to AI”; “AI Isn’t Just Changing How We Work \u2014 It’s Changing How We Learn”; + other items re: AI in our LE’s"},"content":{"rendered":"

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.<\/span>Get the 2025 Student Guide to Artificial Intelligence<\/strong><\/a>\u00a0— from studentguidetoai.org
\nThis guide is made available under a Creative Commons license by Elon University and the American Association of Colleges and Universities (AAC&U).<\/em>
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AI Isn’t Just Changing How We Work \u2014 It’s Changing How We Learn<\/strong><\/a> — from entrepreneur.com by Aytekin Tank; edited by Kara McIntyre
\nAI agents are opening doors to education that just a few years ago would have been unthinkable. Here’s how.<\/em><\/p>\n

Agentic AI<\/a>\u00a0is taking these already huge strides even further. Rather than simply asking a question and receiving an answer, an AI agent can assess your current level of understanding and tailor a reply to help you learn. They can also help you come up with a timetable and personalized lesson plan to make you feel as though you have a one-on-one instructor walking you through the process. If your goal is to learn to speak a new language, for example, an agent might map out a plan starting with basic vocabulary and pronunciation exercises, then progress to simple conversations, grammar rules and finally, real-world listening and speaking practice.
\n…
\nFor instance, if you’re an entrepreneur looking to\u00a0sharpen your leadership skills, an AI agent might suggest a mix of foundational books, insightful TED Talks and case studies on high-performing executives. If you’re aiming to master data analysis, it might point you toward hands-on coding exercises, interactive tutorials and real-world datasets to practice with.<\/p>\n

The beauty of AI-driven learning is that it’s adaptive. As you gain proficiency, your AI coach can shift its recommendations, challenge you with new concepts and even simulate real-world scenarios to deepen your understanding.<\/p>\n

Ironically, the very technology feared by workers can also be leveraged to help them. Rather than requiring expensive external training programs or lengthy in-person workshops, AI agents can deliver personalized, on-demand learning paths tailored to each employee’s role, skill level, and career aspirations. Given that\u00a068%\u00a0of employees find today’s workplace training to be overly “one-size-fits-all,” an AI-driven approach will not only cut costs and save time but will be more effective.<\/strong><\/span><\/p><\/blockquote>\n

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What’s the Future for AI-Free Spaces?<\/strong><\/a> — from higherai.substack.com by Jason Gulya
\nPlease let me dream…<\/em><\/p>\n

This is one reason why I don\u2019t see AI-embedded classrooms and AI-free classrooms as opposite poles. The bone of contention, here, is not whether we can cultivate AI-free moments in the classroom, but for how long those moments are actually sustainable.<\/p>\n

Can we sustain those AI-free moments for an hour? A class session? Longer?
\n…
\nHere\u2019s what I think will happen. As AI becomes embedded in society at large, the sustainability of imposed AI-free learning spaces will get tested. Hard. I think it\u2019ll become more and more difficult (though maybe not impossible) to impose AI-free learning spaces on students.<\/p>\n

However, consensual and hybrid AI-free learning spaces will continue to have a lot of value. I can imagine classes where students opt into an AI-free space. Or they\u2019ll even create and maintain those spaces.<\/p>\n

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Duolingo’s AI Revolution<\/strong><\/a>\u00a0— from drphilippahardman.substack.com by Dr. Philippa Hardman
\nWhat 148 AI-Generated Courses Tell Us About the Future of Instructional Design & Human Learning<\/em><\/p>\n

Last week, Duolingo announced an unprecedented expansion: 148 new language courses created using generative AI, effectively doubling their content library in just one year. This represents a seismic shift in how learning content is created \u2014 a process that previously took the company 12 years for their first 100 courses.<\/span><\/strong><\/p>\n

As CEO Luis von Ahn stated in the announcement, “This is a great example of how generative AI can directly benefit our learners… allowing us to scale at unprecedented speed and quality.”<\/p>\n

In this week’s blog, I’ll dissect exactly how Duolingo has reimagined instructional design through AI, what this means for the learner experience, and most importantly, what it tells us about the future of our profession.<\/strong><\/span><\/p><\/blockquote>\n

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Are Mixed Reality AI Agents the Future of Medical Education?<\/strong><\/a>\u00a0— from ehealth.eletsonline.com<\/p>\n

Medical education is experiencing a quiet revolution\u2014one that\u2019s not taking place in lecture theatres or textbooks, but with headsets and holograms. At the heart of this revolution are Mixed Reality (MR) AI Agents, a new generation of devices that combine the immersive depth of mixed reality with the flexibility of artificial intelligence. These technologies are not mere flashy gadgets; they\u2019re revolutionising the way medical students interact with complicated content, rehearse clinical skills, and prepare for real-world situations. By combining digital simulations with the physical world, MR AI Agents are redefining what it means to learn medicine in the 21st century.<\/p>\n

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