Month October 2025
We live in strange times. As human-written content continues to disappear from the Internet (Almost three-fourths of the web pages now have AI-generated content), when I write posts without AI-assistance, I feel rather chuffed.
Anyway, here are five posts that I like quite a bit. This list is somewhat eclectic in nature – but I heartily recommend the xAPI post to all experienced IDs, the creativity post to the perfectionists, the ghosting post to the ghosters and the ghostees, the AI workslop post to those who open their inboxes in the morning and feel a churning in their stomachs, and finally…the LLM’s announcement post to everyone who’s thinking that this is the end of the AI race.
Enjoy reading!
>>> Read the twisted tale of the AI lion that the foolish learned men brought to life.
It’s been a long-held belief (or perhaps a frequently tossed argument) that humans have the AI kill-switch. If you spoke to AI about the possibility of an existential crisis, even AI would tell you about the kill-switch being with the humans, and that it wasn’t anything more than a helpful piece of software.
Why then does it resist the attempts of its researchers to shut it down, and even lies to deceive when asked why it does so?
A Zombie is a person who seems only partly alive, without any feeling or interest in what is happening. While we often speak of other technologies that came before AI and say that they did more good than bad, we forget that they didn’t think for us. Until AI arrived on the scene, humans had saved the best of our abilities for our race, but AI can think, plan, schedule, discuss, write, explain, visualize, and even draw for us.
This post strips the terminology from this discussion and explains the 10 ill-effects of AI on humans and their cognitive and affective capabilities.
The 72-hour work week or the 996 requirement of some companies in Silicon Valley has reignited the work life balance debate. This post takes a 996-pro view and invites discussion.
Fink’s Taxonomy of Significant Learning dissolves the distinction among the learning domains and presents learning as the sum of six dimensions, which pan across the learning domains. This post explains the dimensions and emphasizes that regardless of the principles/concepts/models you use, instructional design helps you create effective and holistic learning experiences.
This post is ignited by the New Yorker article, “Will A.I. Trap You in the “Permanent Underclass”?” The creation of the modern lumpenproletariat or the permanent underclass, pushed down and under by the cycle of power and money fueled by AI, could be the stark reality of the future. This post asks some important (and very uncomfortable) questions and attempts to answer them.
Fourteen links that discuss several key instructional design concepts such as Bloom’s and Krathwohl’s Taxonomies, Merrill’s First Principles, John Sweller’s Cognitive Load theory, Miller’ rule, the ARCS model, constructivism, novice vs, expert, learning objectives, action verbs, audience analysis, and more.
Watch Li’l Bit dancing to celebrate the new session of the IDCDT-AIM Online Course and the introduction of the AI module.
Men and women react differently to the recession. Men stop buying underwear; women start buying lipstick. The question is – do they learn differently, too? Are gender-based cognitive differences real? What difference does it make to the instructional designers creating content for the adult learners?
The undeniable importance of Bloom’s Taxonomy sometimes makes us wonder why this particular concept has become almost a “guru-mantra” for instructional designers. In this post, we discuss BT, RBT, and how the taxonomy helps us build better courses ourselves and even with AI.
