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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Posts by Department of Technology Enhanced Learning MTU
"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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"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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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.
"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."
"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?"
"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."
"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?” "
"You can use an LLM as a thought partner to brainstorm ideas, generate briefs, perform a hypothetical needs analysis, gather information, and provide feedback."
"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."
"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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"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."
"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."
"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."
"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."
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.
"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."
"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."
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.
"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."
"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."
"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."
"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."
PODCAST: Dr. David Wiley joins podcast 𝘖𝘱𝘦𝘯𝘌𝘥 𝘔𝘪𝘤 for a conversation about how open education and generative AI are converging
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.
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)
"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."
"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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