{"id":4935,"date":"2025-05-01T21:15:13","date_gmt":"2025-05-01T21:15:13","guid":{"rendered":"https:\/\/veethompson.com\/?p=4935"},"modified":"2026-01-04T09:52:42","modified_gmt":"2026-01-04T09:52:42","slug":"instructional-design-meets-ai-how-to-work-smarter-2025","status":"publish","type":"post","link":"https:\/\/www.veethompson.com\/?p=4935","title":{"rendered":"When Instructional Design Meets AI (2025)"},"content":{"rendered":"

Most people find one true calling in life, but I\u2019m lucky to claim two. Some days, I\u2019m knee-deep in new tech testing tools, poking at platforms, and seeing what clicks (and what crashes). Other days, I\u2019m at my laptop, orchestrating learning experiences like a nerdy Mozart of instructional design. On the best days? I\u2019m doing both.<\/p>\n

If you\u2019ve landed here, chances are you\u2019re a bit like me: part creative, part strategist, and 100% curious about how AI is changing the game.<\/p>\n

Whether you\u2019re a course developer, an L&D lead, or just wondering if ChatGPT is coming for your job (spoiler: it\u2019s not), I\u2019m breaking down everything you need to know about using AI in instructional design through the lens of creativity, practicality, and a little Tony Stark-style curiosity.<\/p>\n

\"Illustration

Illustration of person sitting in front of computer with a chat bot on screen (Midjourney, 2025).<\/p><\/div>\n

First Things First: What Is AI Anyway?<\/h2>\n

Let\u2019s set the stage before we get into the workflows and tools.<\/p>\n

Artificial Intelligence (AI)<\/strong> refers to machines that are designed to mimic human intelligence. We’re talking about the ability to learn, solve problems, make decisions, and even, occasionally, crack a decent joke.<\/p>\n

But AI isn\u2019t one monolithic robot brain: it\u2019s actually an evolving spectrum of tech. And if we\u2019re going to use it well, we need to know what\u2019s what.<\/p>\n

The Building Blocks of AI<\/h3>\n

Here\u2019s a quick cheat sheet to help you sort the signal from the noise:<\/p>\n\n\n\n\n\n\n\n
Term<\/strong><\/th>\nWhat It Means<\/strong><\/th>\nWhy It Matters to You<\/strong><\/th>\n<\/tr>\n<\/thead>\n
Artificial Intelligence (AI)<\/strong><\/td>\nThe umbrella term for machines that can do tasks that typically require human smarts, like reasoning, learning, or decision-making.<\/td>\nYou\u2019ve probably used AI today without realizing it. (Spellcheck, anyone?)<\/td>\n<\/tr>\n
Machine Learning (ML)<\/strong><\/td>\nA type of AI where systems learn from data to improve their output over time.<\/td>\nThink recommendation engines, predictive analytics, or adaptive learning tools.<\/td>\n<\/tr>\n
Generative AI (Gen AI)<\/strong><\/td>\nA more recent evolution of AI that creates<\/em> content like text, images, audio, video, or even code.<\/td>\nThis is the tech behind ChatGPT, DALL\u00b7E, Gemini, and all those tools you\u2019ve probably already tested out.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Meet the Brains Behind It: Foundation Models<\/h4>\n

Generative AI tools run on foundation models<\/strong>, massive machine learning models trained on everything from Wikipedia to research papers to public code repositories. The goal? To give the model a broad, flexible understanding of language, logic, structure, and context.<\/p>\n

Once trained, these models can be fine-tuned<\/strong> for specific industries or tasks like healthcare, law, or yes, instructional design. So instead of building your AI from scratch, you start with a super-smart base and teach it how you<\/em> <\/strong>work.<\/p>\n

In short:<\/p>\n