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10 Rules You Need to Create Great Captioned Videos – Meryl.net home
10 Rules You Need to Create Great Captioned Videos – Meryl.net home
Meryl Evans shares rules for creating great closed captions. While these are described as rules for videos, this applies to other elearning too.
10 guidelines for accessible captions: Readable, accurate, synchronized, length, position, sound, credits, voice changes, speaker identification, and motion with one or two sentences describing each one.
·meryl.net·
10 Rules You Need to Create Great Captioned Videos – Meryl.net home
AI Story Generator (Free, No Signup & Unlimited)
AI Story Generator (Free, No Signup & Unlimited)
This seems like something that could be done with a combination of other tools (an LLM plus an image generator), but this is a tool that creates stories plus images to accompany them. It would be interesting to experiment with as inspiration for training scenarios. However, note that the site claims copyright of all stories created, so don't plan to use this for commercial purposes. Use it for inspiration rather than as the actual content of a story.
·datanumen.com·
AI Story Generator (Free, No Signup & Unlimited)
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>
·usablelearning.com·
The Pesky Challenge of Evaluating AI Outputs – Usable Learning