Leveraging the Abilities of AI to speed development.
Part 1, Creating The Scenario
I used ChatGPT to generate a rough-draft script for the microlearning that I was developing.
This created a full script with descriptions and prompts for each of the speaker within seconds. From here I cut and paste this into a word processor and went over it to check the accuracy of content and re-write anything I found to be in the wrong tone or register.
From here I opened Vyond and started with their “Create with AI” prompt.
In moments, Vyond had created a scenario with and introduction, three learning sections and an outro with the entire scene generated in minutes.
From here I looked at the elements and decided to change some of the scripting by adding dialogue into the quick edit on the right side.
From here I switched over to Full Edit mode in Vyond studio and used the timeline editing tools to adjust the audio and matching video so that the new output did not have overlapping dialogue files playing at the same time and so that the accompanying animation was discreet.
The new audio timeline overlapped the next audio chunk.
I choose the audio and dragged it out until the waveform in the lower display went fully flat again.
I then saved and exported this to my favorite video editing tool. Since this simple script covered three parts with and intro and an outro I chopped it up into 5 parts and exported each piece for use in Storyline.
Part 2, Creating The Question Sets
I then went back to ChatGPT and prompted the dialogue to generate a series of question sets for me to review and choose from based upon the production that ChatGPT had done for me in the prior steps.
I then got a series of question sets to choose from.
Part 3, Bringing It All Together
With some editing and alteration in some cases (I always check AI output to ensure that it is saying what I want it to say) I cut-and-paste into Storyline and wired up the triggers, states, and a few knowledge check questions with feedback for each choice.
This micro-learning was now ready to upload to an LMS, S3 bucket or LRS (once the xAPI triggers were programmed in).
All told, this process took a couple of hours and shaved a lot of first draft production time off the process. This avoided the entire process of creating the Vyond video from scratch and allowed me to spend a significantly smaller amount of time on swapping out characters and elements that I wanted to change.
I highly recommend this to anyone under a time crunch to produce a micro learning experience.
