By reading online, I sign the resources that I find interesting and useful. I share these links about once a month here on my blog. This article includes links to AI video avatars, image generation and image editing, research on how graphics affect learning, copyright and AI -related biases, and tools and models to create scenarios and other elements.
AI Video avatars
Why the AI ​​Video avatars are not the next great thing in L&D
Heidi Kirby is digging in research on AI Video avatars (excluding supplier research). The support is really not there. I have seen many complaints on how they are sitting in the strange valley. But even if the video avatars are becoming more realistic, is a telling head video really the best teaching method? Of course not! There was not a lot of buzz on speaking head videos before AI. Why is there so much buzz now? (Interactive video avatars for scenarios are a distinct question and not addressed by this article. I think that interactive video avatars are more likely to improve learning results.)
Despite their growing use, there is limited evidence that the avatars generated by AI considerably improve learning results.
– Heidi Kirby
Create speaking characters and video avatars with this AI video tool. (But think about how you use these characters and these avatars to improve the learning experience, not only because the technology is available.)
AI generation and edition of Images
This image was not a stock photo – and it changed the way I build training
Michelle Bonkosky shares her chatgpt use process to generate a unique image for a training workbook. I appreciate how she shows the process of iteration and refine her guests; This is a key point. It also includes some promoting samples for images for the formation of assets.
Gemini image edition: a guide with 10 practical examples
This article explains how to use the gemini for image editing with examples, showing what works and what does not work. The modification of facial expressions and body poses worked well enough in the tests of this author, which makes this only option to generate sets of images of character.
Search on graphics and learning
When graphics improve but not online lessons
Sung and Mayer is looking for different types of graphics and how they affect learning. The graphics improve satisfaction and can improve motivation through emotional commitment, even if they are unimportant. The images are divided into 3 categories: instructive, decorative and attractive.
Copyright, bias and AI
Ai Co. Anthropic Nabs Partial Fair Use Win In Copyright Case
The titles of this case will miss a lot of nuances; This is not a complete victory for Anthropic, but it is important. The decision noted that the training of AI on books legally obtained on copyright is fair use because it is “typically transformative”. This does not mean that training on hacked books is fair use, and nothing in this decision explicitly addresses the content accessible to the public online. The exit of the AI ​​is also an unresolved question; I predict that we will have decisions that the generation of text or images which corresponds too closely to the works protected by copyright is not protected. IA tools (in particular image generation tools) need railing to prevent the generation of content protected by copyright.
Biases in AI: Examples and 6 ways to repair it in 2025
Examples of bias in AI in the generation of images, recruitment tools, voice recognition and other areas. The solutions here focuses mainly on AI systems adjustments and the debiasing strategy rather than on the level of individual prompts to improve representation. If you look at your global strategy for AI, the way you approach the biases must be part of the plan.
Tools and models
Articulate vs parta: is it time to change?
This is an in -depth comparison of the articulated suite compared to a new competitor, shared. I have not tried to share myself, but it seems to be a tool that deserves to be examined, especially if you are doing a lot of development for mobile users. Accessibility is a big drawback with Part, and I'm not sure it has enough power to make all the branching features and variables I need. It is good to see what is available elsewhere.
Updated model for writing / design scenario issues
Will Thalheimer shared a free model to write script issues. These are more in-depth than my typical examples of mini-scenarios of a question. I like the way this model forces you to think about the context and how to differentiate people who understand the subject of those who do not.
Storymate – Planning and editing tool of stories
Tool without free code to create connection scenarios. Publish in HTML. There is no current in Wrapper Scorm, but it is planned for the future.
Although many non -binary people have names that are traditionally coded like men or women, sometimes more neutral names of gender are useful for the characters of the scenarios.
Additional organized resources
Consult my full links library Or my previous Post bookmarks.
Related
At Learnopoly, Finn has championed a mission to deliver unbiased, in-depth reviews of online courses that empower learners to make well-informed decisions. With over a decade of experience in financial services, he has honed his expertise in strategic partnerships and business development, cultivating both a sharp analytical perspective and a collaborative spirit. A lifelong learner, Finn’s commitment to creating a trusted guide for online education was ignited by a frustrating encounter with biased course reviews.