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Adjunct Intelligence: AI + HE

Podkast av Adjunct Intelligence

engelsk

Teknologi og vitenskap

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Les mer Adjunct Intelligence: AI + HE

Adjunct Intelligence: Ai and the future of Higher EducationStay ahead of the AI revolution transforming education with hosts Dale, tech enthusiast and AI Nerd, and Nick McIntosh, Learning Futurist.This weekly espresso shot delivers essential AI insights for educators, administrators, and learning professionals navigating the rapidly evolving landscape of higher education.Each episode brings you a concise rundown of breaking AI developments impacting education, followed by deep dives into cutting-edge research, emerging tools, and practical applications that Dale and Nick are implementing in their own work. From classroom innovations to institutional strategy, discover how AI is reshaping teaching, learning, and educational operations.Whether you're working in the classroom, on the the classroom a university lecturer, TAFE teacher, or simply passionate about the future of learning, "Adjunct Intelligence" equips you with the knowledge to transform disruption into opportunity. Business casual, occasionally humorous, but always informative.

Alle episoder

34 Episoder

episode The AI Tutor Flopped, So They Built the AI University cover

The AI Tutor Flopped, So They Built the AI University

Khan Academy's AI tutor Khanmigo quietly flopped — students didn't use it, teachers walked away, and Khan Academy's own chief learning officer admitted she isn't seeing the revolution she was promised. So instead of fixing the tutor, Khan Academy, TED and ETS announced a new institution: the Khan TED Institute, a sub-$10,000 AI-era degree shaped with corporate partners including Google, Microsoft and McKinsey — and not a single university. Dale Leszczynski and Nick McIntosh work through what it means when the companies selling AI tools also build the credentials that certify them, why student resistance to imposed AI is rational rather than technophobic, and what a healthier alternative actually looks like in practice. [00:00] — The clinical trials analogy [02:30] — Steelmanning the skills gap  [05:20] — Who's at the founding table  [06:00] — The South Korea precedent  [07:41] — Enclosure, not disruption  [10:03] — The always-on chatbot  [11:30] — Why students push back  [15:40] — Who steers the technology  [20:05] — The broken career ladder  [24:35] — Why universities can't leave 🎙️ Adjunct Intelligence is the weekly briefing for higher-ed professionals who want AI as a cheat code—not a headache. Every episode: • Real tests of AI tools in education and professional workflows • Fast, Monday-morning actions you can actually try • Clear signal through the noise (no hype, no jargon) 👉 Subscribe on [YouTube [https://www.youtube.com/channel/UCE1uz0lRdjYWBJygT7UH5hA]] | [Apple Podcasts [https://podcasts.apple.com/au/podcast/adjunct-intelligence-ai-he/id1813530892]] | [Spotify [https://open.spotify.com/show/4z4FsV7qie62neza77kQKl?si=8aacac404609458d]] 👉 Share this with a colleague who still says “I’ll figure AI out later” 👉 Join the conversation on LinkedIn with #AdjunctIntelligence Stay curious. Stay intelligent. Stay the human in the loop.

17. mai 2026 - 26 min
episode The Legitimacy Winter: Why AI's Real Problem Isn't Capability cover

The Legitimacy Winter: Why AI's Real Problem Isn't Capability

The AI trust story isn't what most people think it is. In this episode, Dale and Nick work through a cluster of signals — a dramatic enterprise market share reversal, a 50-point gap between expert and public confidence in AI, a $17 million university contract already under faculty petition, and teenagers harassing delivery robots on TikTok — and argue they're all pointing at the same thing: capability isn't the problem anymore. Legitimacy is. From procurement traps and surveillance affordances in institutional AI, to a thought experiment about social license and AI rights, this is the episode for anyone trying to make sense of what "responsible adoption" actually looks like when the ground is moving under your feet. [00:00] — Violence, brand aversion, data [00:46] — Welcome and framing [01:47] — Enterprise market flips to Anthropic [03:29] — Identity signal, not capability signal [05:09] — Pentagon, OpenAI, Anthropic diverge [06:47] — Southeast Asia: tool-first, not brand-first [07:17] — Stanford AI Index 2026 trust gap [08:25] — Anthropic drops safety pledge [09:46] — Should expert confidence carry more weight? [12:42] — CSU's $17M OpenAI contract [13:37] — Faculty petition: don't renew it [ 14:38] — Procurement cycles vs lab timelines [15:23] — What do you actually anchor on? [16:47] — ASU's ethics layer approach [18:42] — 82% use consumer AI anyway [19:38] — Why university platforms always die [20:46] — Institutional AI as surveillance affordance [22:42] — Legitimacy winter, not capability winter [24:13] — Clanker as cultural leading indicator [25:18] — AI tribal sorting in the classroom [27:14] — The AI rights question [28:00] — Social license thought experiment [29:08] — Social license is the whole game [31:15] — The educator's role in a trust winter 🎙️ Adjunct Intelligence is the weekly briefing for higher-ed professionals who want AI as a cheat code—not a headache. Every episode: • Real tests of AI tools in education and professional workflows • Fast, Monday-morning actions you can actually try • Clear signal through the noise (no hype, no jargon) 👉 Subscribe on [YouTube [https://www.youtube.com/channel/UCE1uz0lRdjYWBJygT7UH5hA]] | [Apple Podcasts [https://podcasts.apple.com/au/podcast/adjunct-intelligence-ai-he/id1813530892]] | [Spotify [https://open.spotify.com/show/4z4FsV7qie62neza77kQKl?si=8aacac404609458d]] 👉 Share this with a colleague who still says “I’ll figure AI out later” 👉 Join the conversation on LinkedIn with #AdjunctIntelligence Stay curious. Stay intelligent. Stay the human in the loop.

10. mai 2026 - 32 min
episode Mollie Dollinger on the HE Decay Narrative — and Why It's Wrong cover

Mollie Dollinger on the HE Decay Narrative — and Why It's Wrong

Professor Mollie Dollinger, Director of Assessment 2030 at Curtin University, joins Dale and Nick to push back on the story dominating coverage of higher education — that universities are in decay, students are cheating en masse, and no one inside the sector knows what to do about AI. The conversation covers TEQSA's voluntary action plans, why 65% of students worry about their own cognitive development, what shadow IT says about overworked staff, why society no longer trusts graduates, burnout research, the Einstein agent thought experiment, and the argument that the academy has centuries of expertise the tech industry is currently ignoring. [00:00] — The decay narrative pushback  [05:00] — Brookings student cognitive concerns  [07:30] — Why the bad story sticks  [09:50] — What's actually happening inside  [13:30] — Shadow IT and unapproved tools  [16:00] — Chatbots and AI tutors  [19:55] — Student success beyond jobs  [28:46] — Burnout and admin burden  [33:35] — Redesigning learning around AI  [41:12] — Who counts as expert 🎙️ Adjunct Intelligence is the weekly briefing for higher-ed professionals who want AI as a cheat code—not a headache. Every episode: • Real tests of AI tools in education and professional workflows • Fast, Monday-morning actions you can actually try • Clear signal through the noise (no hype, no jargon) 👉 Subscribe on [YouTube [https://www.youtube.com/channel/UCE1uz0lRdjYWBJygT7UH5hA]] | [Apple Podcasts [https://podcasts.apple.com/au/podcast/adjunct-intelligence-ai-he/id1813530892]] | [Spotify [https://open.spotify.com/show/4z4FsV7qie62neza77kQKl?si=8aacac404609458d]] 👉 Share this with a colleague who still says “I’ll figure AI out later” 👉 Join the conversation on LinkedIn with #AdjunctIntelligence Stay curious. Stay intelligent. Stay the human in the loop.

3. mai 2026 - 38 min
episode The Closed Loop: AI Companies as Education Researchers cover

The Closed Loop: AI Companies as Education Researchers

In March 2026, OpenAI quietly published a measurement suite for how AI affects student learning. The data flows straight back into OpenAI's model development pipeline. Three AI labs released studies in the same month, and the pattern matters more than the individual papers. Dale and Nick examine OpenAI's Learning Outcomes Measurement Suite, Anthropic's 81,000-person qualitative study (where AI conducted the interviews, classified the responses, and pulled the quotes), Anthropic's labour displacement research using its own usage logs, and Google DeepMind's cognitive taxonomy for AGI. The throughline: the companies building the most consequential technology of our lifetime are also defining how learning, work, and intelligence get measured. A frank conversation about structural conflicts of interest, what universities should be doing about it, and why on current evidence they probably won't. [00:00] — Three studies, one pattern [02:30] — Watchmen and vendor capture [05:00] — Inside the measurement suite [06:30] — The closed-loop problem [09:30] — 81,000 interviews by AI [11:00] — Cognitive atrophy among educators [15:00] — Observed exposure, broken ladder [17:00] — Disclosure versus actual accountability [19:30] — A cognitive taxonomy lands [22:00] — Three options, none easy 🎙️ Adjunct Intelligence is the weekly briefing for higher-ed professionals who want AI as a cheat code—not a headache. Every episode: • Real tests of AI tools in education and professional workflows • Fast, Monday-morning actions you can actually try • Clear signal through the noise (no hype, no jargon) 👉 Subscribe on [YouTube [https://www.youtube.com/channel/UCE1uz0lRdjYWBJygT7UH5hA]] | [Apple Podcasts [https://podcasts.apple.com/au/podcast/adjunct-intelligence-ai-he/id1813530892]] | [Spotify [https://open.spotify.com/show/4z4FsV7qie62neza77kQKl?si=8aacac404609458d]] 👉 Share this with a colleague who still says “I’ll figure AI out later” 👉 Join the conversation on LinkedIn with #AdjunctIntelligence Stay curious. Stay intelligent. Stay the human in the loop.

26. april 2026 - 27 min
episode The data is in: Using AI impacts the classroom cover

The data is in: Using AI impacts the classroom

Dale changes his mind on air. For two years he argued that purpose-built educational AI tools — the "ChatGPT wrappers" that flooded Product Hunt after 2023 — were margin extraction, soon to be steamrolled by the foundation models underneath. A pile of new evidence has forced a rewrite. This episode walks through the OECD's Digital Education Outlook 2026, the Turkey maths randomised controlled trial showing raw GPT-4 users scored 17% worse on closed-book exams, the neuroscience work on cognitive offloading, the Australian Framework's procurement standard, and the UK's "progressive disclosure" mandate. The pedagogy layer isn't decoration. It's where learning either happens or doesn't. [00:00] — A confession about wrappers [02:30] — Flashback to 2023's wrapper panic [05:04] — A billion-dollar pivot, explained [07:52] — The Turkey maths study [10:16] — Cognitive offloading on college essays [11:04] — Revisiting the two sigma problem [12:47] — What good guardrails actually do [16:39] — Australia, UK, EU tighten rules [19:51] — What educators should ask vendors [23:16] — Field note worth trying 🎙️ Adjunct Intelligence is the weekly briefing for higher-ed professionals who want AI as a cheat code—not a headache. Every episode: • Real tests of AI tools in education and professional workflows • Fast, Monday-morning actions you can actually try • Clear signal through the noise (no hype, no jargon) 👉 Subscribe on [YouTube [https://www.youtube.com/channel/UCE1uz0lRdjYWBJygT7UH5hA]] | [Apple Podcasts [https://podcasts.apple.com/au/podcast/adjunct-intelligence-ai-he/id1813530892]] | [Spotify [https://open.spotify.com/show/4z4FsV7qie62neza77kQKl?si=8aacac404609458d]] 👉 Share this with a colleague who still says “I’ll figure AI out later” 👉 Join the conversation on LinkedIn with #AdjunctIntelligence Stay curious. Stay intelligent. Stay the human in the loop.

19. april 2026 - 26 min
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