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Posts by Department of Technology Enhanced Learning MTU

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Beyond the Cognitive: Rethinking Bloom’s Taxonomy A case for expanding Bloom’s familiar triangle to include the Affective and Operative domains — and why it matters for modern education.

From Tim Klapdor: A case for expanding Bloom’s familiar triangle to include the Affective and Operative domains — and why it matters for modern education.
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The AI cheating panic is loud. The way students actually use ChatGPT is much quieter. After interviewing 50+ Cal Poly students, a clearer picture of AI use on campus emerges

"Students trust what they see in their own circles — mostly boring, responsible use — but the second they zoom out to “everyone else,” the narrative takes over. It’s easier to believe the loud story you’ve been told than the quieter one you’re actually living."

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The Modern Challenges Reshaping Adult Learning At its best, adult learning does more than transfer information. It builds confidence, reinforces identity, and helps people make sense of change without feeling left behind by it.

"When we take the time to understand how these challenges have evolved, we design learning that respects adults as capable, busy humans, not empty calendars waiting to be filled."

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ABC Learning Design An accessible guide to ABC Learning Design, showcasing its rapid, collaborative method and global adaptations that support innovative, flexible curriculum design.

BOOK: From Clive Young, Nataša Perović, Leo Havemann and Karen Shackleford-Cesare: 'ABC Learning Design: Active, blended, connected and beyond' introduces ABC to a new audience, adding insights from institutions that have localised and implemented the method in diverse contexts.

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A Taxonomy of Agentic AI Explore the evolution of AI agents, their taxonomy, and implications for education. Understand the shifts in capabilities from chatbots to agent teams.

"Hopefully this taxonomy helps to remove some of the mystery around these technologies. They’re not magic; they are logical extensions of AI that can write code. But the implications of AI agents are not just hype, and this is where the technology is likely to be most disruptive."

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AI policy is penalising the students most trying to comply Jim Dickinson presents findings from new research on students' use of AI – and argues the sector is punishing precisely the disposition it should be cultivating

"Do students feel they have actually learned what they have produced? What are they weighing up when they decide how to use AI on a specific piece of work? And do they think their assessments test understanding?"

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The choices universities and colleges make about AI are political Ahead of this week's Digifest, Michael Webb and Rebecca Flook confront the complex values systems behind general purpose AI technology

"If generative AI is shaped by power, politics and principle, then education cannot treat it as neutral infrastructure. It is not simply a tool that reflects human bias. It is a technology aligned to particular visions of the future."

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IYKYK: How Do We Know What AI Can Really Do? The Discoverability Problem in GenAI means users are often unaware of capabilities due to poor UX. If the tech won't change, we need new mental models.

"Once you discover one capability that breaks your existing mental model, you start asking different questions about everything else, and lift the ceiling a little. You move from “can AI write me an email?” to “what else can this thing do that nobody told me about?” "

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How to Use AI as a Stand-In SME for Portfolio Samples How do you get info for portfolio samples when you don’t have a SME? Use AI as your stand-in SME and interview it with these prompts.

"You can use an LLM as a thought partner to brainstorm ideas, generate briefs, perform a hypothetical needs analysis, gather information, and provide feedback."

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The Best Response to AI Is a Library Card Why reading is the skill that makes every other skill possible, and why we need it now more than any prompt.

"The conversation about AI literacy has leapt straight to prompt engineering and responsible use without asking whether the person at the keyboard has the critical literacy to evaluate what the machine produces."

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‘I wish I could push ChatGPT off a cliff’: professors scramble to save critical thinking in an age of AI As AI has upended the way students learn, academics worry about the future of the humanities – and society at large

"As pushback grows, so does an emphasis on those intrinsically human qualities that differentiate people from machines – the very qualities a humanistic education seeks to nurture."

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Metaphors, Minds, Technology & Learning | Punya Mishra's Web by Punya Mishra | Tuesday, April 16, 2024

"What we do know is that these metaphors matter: matter to how we think and act; and how others think we think and act. And every metaphor we come up with, for our minds, and for these GenAI technologies, provides us a new lens for looking at the emerging world of genAI."

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Polly, not Paul. Three Stories About AI Bias Worth Talking About – Capricious Connections '+jQuery("").text(title).html()+'

"AI may mitigate some of the biases, but given the way these technologies work—that they are based on past human discourse which is inherently biased—we must go beyond pointing it out and actually do something about it."

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What We Must Do About AI In Education – GenAI:N3 “Can you believe that Somalia – they turned out to be higher IQ than we thought.I always say these are low-IQ people.” – Donald J Trump, January 3rd, 2026

"It is reasonable to pause and ask ourselves what this relentless promotion is telling us about the nature of the tools, and what they are really designed to do."

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Peter Vandermeersch and the AI detection delusion AI detection software can do a lot of damage through misplaced certainty

"The better AI writing becomes, the more it converges on the same statistical properties as human writing and the narrower the gap that detectors are trying to exploit."

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3 AI Fears in Higher Education | EDUCAUSE Exchange Across campuses, conversations about artificial intelligence are sometimes being framed by unease rather than enthusiasm. Leaders, faculty and students are questioning how fast to move, what might…

Video from EDUCAUSE: Across campuses, conversations about artificial intelligence are sometimes being framed by unease rather than enthusiasm. Leaders, faculty and students are questioning how fast to move, what might break and who bears the risk.

4 weeks ago 0 1 0 0
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Designing Discussion Forums That Actually Work: A Learning Designer’s Perspective - Digital Learning Why Discussion Forums Still Matter As learning designers, we often hear the same refrain: “Students don’t use discussion boards,” and yet, when designed with intention, online discussion spaces can…

"When forums work well, they extend the classroom in an inclusive way. They allow quieter students to find their voice, give time for reflection before response, and create an archive of thinking that can be revisited and built upon."

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Who owns my child's data? Teachers, parents and children should have a say in the role of technology in schools and on the types of data it collects and why

"There is much concern about children and smartphones, but less attention is paid to the growing role of other technologies in schools and the data they collect on our children."

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Harnessing AI for Neurodivergent Learners: A Realistic Perspective Explore how AI can benefit neurodivergent learners while addressing its limitations and risks, with practical tips for effective use.

"If you’re ND and curious about AI, ignore the hyper-productivity gurus and the shiny ADHD apps."

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Explore AI Literacy — A Visual Navigator for AI Literacy Frameworks Compare 20 AI literacy frameworks across 9 domains. An interactive research tool adapted from the HGSE EASEL Lab methodology.

The Center for Education Innovation at The Hong Kong University of Science and Technology has developed visual navigator for AI literacy frameworks. You can use interactive tools to explore how different frameworks define and emphasise AI literacy across 9 domains.

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Designing for Neurodivergence: Why Inclusive Instructional Design Is Just Good Design Designing for neurodivergent learners does not require creating separate programs or lowering standards. It requires intention, clarity, and flexibility.

"Designing for neurodivergent learners does not require creating separate programs or lowering standards. It requires designing with intention, clarity, and flexibility— principles that ultimately improve learning for everyone."

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Honest Non-Signals: Why AI Fools Us Without Lying | Punya Mishra's Web by Punya Mishra | Tuesday, February 03, 2026

"In a human, capitulating after pushback would carry information: they reconsidered, they realized an error, they’re being strategic. In an AI, it reflects that “user challenge followed by apologetic revision” is a common pattern in the training data."

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He Vibe-Coded a Crisis for Higher Education Advait Paliwal set out to create an AI tool that would make professors angry. He succeeded.

"Agentic AI goes far beyond what large language models like ChatGPT and Claude can execute. Whereas chatbots generate text in response to prompts, AI agents can independently complete multiple tasks on behalf of a user."

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Are Instructors Warming to AI? A Study Says Yes. A review of thousands of syllabi over five years shows a growing acceptance of the tool.

"The most common tasks for which instructors allowed students to use AI help were editing and study support. Instructors were most restrictive in the areas of drafting or revising work."

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Navigating the Future of Open Education and AI In this episode of OpenEd Mic, the hosts welcome Dr. David Wiley, a pioneer in open education, discussing the intersection of open education and generative AI. They explore Wiley's journey into the…

PODCAST: Dr. David Wiley joins podcast 𝘖𝘱𝘦𝘯𝘌𝘥 𝘔𝘪𝘤 for a conversation about how open education and generative AI are converging

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2026 Assessment Redesign Framework | GenAI:N3 2026 Assessment Redesign Framework by Dr Hazel Farrell - Supporting educators in redesigning assessments for an AI-enhanced educational landscape.

From @hazelfarrell.bsky.social, this framework supports educators in redesigning assessments to ensure they remain valid, fair, transparent, and aligned with learning outcomes in an AI-enhanced educational landscape.

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In Conversation with Lawrie Phipps - Gen AI and Academic Practice

with Prof. Lawrie Phipps

Gen AI Seminar Series 5th March 13:00 - 16:00

In Conversation with Lawrie Phipps - Gen AI and Academic Practice with Prof. Lawrie Phipps Gen AI Seminar Series 5th March 13:00 - 16:00

As part of our ongoing GenAI seminar series, we are delighted to announce our next online event featuring @lawriephipps.co.uk this Thursday at 3pm Irish time.

👉 More about the event and registration: tel.cit.ie/events

(All welcome)

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What does authentic assessment mean in the context of AI? To weather the AI storm, Charlotte von Essen argues that assessment needs to be both authentic and accountable.

"Authentic tasks without accountability can produce polished outputs that mask shallow understanding. Accountable assessment without authenticity risks becoming a series of interrogations detached from meaningful practice. Both are needed."

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Agentic AI: Considerations for Educators A brief slide-deck style introduction to where we are now, based on recent presentations

Anna Mills on the challenge of agentic AI in education

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"On today’s job market, instructional designers aren’t just competing with other professionals; they’re being evaluated against AI-enabled performance, and it’s increasingly plausible that employers will soon ask, “Why hire this person instead of relying on AI for this work?”."

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