Found 4 bookmarks
Custom sorting
Beyond Infographics: How to Use Nano Banana to *Actually* Support Learning
Beyond Infographics: How to Use Nano Banana to *Actually* Support Learning
While this article incorrectly states limitations of earlier image generation tools (you can upload reference images and color schemes to several tools; you can get diverse images with better prompting; you can get consistency in visual style and characters), I love the ideas here for generating instructional images. Nano Banana really is much better for creating these instructional images with text. The main focus of the article is sharing use cases to support learning: visualization, analogy, worked examples, contrasting cases, and elaboration. The examples are great and show you how to go past the typical busy infographic we see with Nano Banana.
2025#AI#imagegeneration#learning
·drphilippahardman.substack.com·
Beyond Infographics: How to Use Nano Banana to *Actually* Support Learning
Why AI Video Avatars are NOT the Next Big Thing in L&D
Why AI Video Avatars are NOT the Next Big Thing in L&D
Heidi Kirby digs into the research about AI video avatars (excluding the vendor research). The support really isn't there. I've anecdotally seen lots of complaints about how they sit in the uncanny valley. But even as the video avatars get more realistic, is a talking head video really the best instructional method? Of course not! There wasn't a lot of buzz about talking head videos before AI. Why is there so much buzz now? (Interactive video avatars for scenarios are a separate question and not addressed by this article.)
Despite their increasing use, there's limited evidence that AI-generated avatars significantly improve learning outcomes.
7/8/25#learning#video#AI#research
·getusefulstuff.com·
Why AI Video Avatars are NOT the Next Big Thing in L&D
The Pesky Challenge of Evaluating AI Outputs – Usable Learning
The Pesky Challenge of Evaluating AI Outputs – Usable Learning
Julie Dirksen observes that lots of people (myself included) talk about the importance of making sure that any content created by AI is reviewed by a person. The task of evaluating the outputs of AI is a challenging one though, and it's one worth paying attention to as we continue to explore the possibilities of AI.
First of all, you need <em>the expertise to judge an output</em>, and second you need <em>the discipline to exert the effort </em>required to assess an output.
<p>More thoughts to come on this, but for now, I think there are a few questions we should be asking:</p> <ul> <li>Does this person have the knowledge and expertise to judge this output?</li> <li>Is it reasonable to expect this person has the discipline to evaluate the outputs in detail?</li> <li>What is the risk if output errors are not caught?</li></ul>
Imported from Diigo#AI#learning#instructionaldesign
·usablelearning.com·
The Pesky Challenge of Evaluating AI Outputs – Usable Learning