AI in L&D

AI in January 2025

In late 2024, I noticed an explosion of AI options in software and portfolio samples, as well as increased discussions on its impact on the L&D industry. I took advantage of rare extra time to play and explore AI in various software programs: ChatGpt, Articulate 360 (Storyline and Rise), PowerPoint, and Colossyan.

There are several factors I considered when developing learning, to fit the needs of the organization:

I enjoyed testing out the AI options! I look forward to seeing how much AI changes in the coming year.

My thoughts? AI significantly supports Instructional Designers in creating learning materials more efficiently, easing the workload and reducing reliance on SMEs in early drafts. Despite privacy and technology constraints in large organizations, AI helps speed up content development. However, the ID's expertise, education, and experience remain essential for producing effective, impactful learning materials. 

What does an Instructional Designer Do.pdf

Career Day: What does an Instructional Designer Do?

Goal: Use AI available in software programs currently used at work to create an informational flyer for a career day. Play with Articulate Storyline's AI features.

What: I created an informational flyer for a high school career day using AI in Articulate Storyline and PowerPoint. My text prompt in Storyline was "what does an Instructional Designer do?" It listed 5-10 bullet points, depending on the tone and audience I selected. I also used the Insert Image AI to create the graphic. I created the flyer in PowerPoint. I checked the reading level in ChatGpt.

Result: Using the text prompt gave me an outline quickly. My mental energy and writing time were spent on adding and perfecting detail and examples. An Instructional Designer's roles and responsibilities can be ambiguous depending on job role, location, and industry. I am happy with the final result! 

Please note: the following examples serve as illustrations of how AI can support an ID, and their SMEs, in efficiently collaborating on effective learning materials. The below examples have not been reviewed by SMEs for content correctness, but are examples of using available AI to create content.

SME prompts 

Goal:  Used focused prompts using general terms in ChatGpt to create content for the SMEs. (Prompt ideas seen on LinkedIn)

What: A library of 7 prompts and answers to send to our SMEs for feedback and correction. 

Result: This is a great example of using AI to work smarter, not harder. 

Assume a role as a nurse case manager in hospice care, teaching another nurse to document in Homecare Homebase (HCHB) is critical for ensuring accurate, compliant, and effective documentation of patient care.

 Below is a step-by-step guide on how to document in HCHB, emphasizing key tasks and best practices.

1. Login to HCHB

2. Navigating the Dashboard

(Full example included 10 steps and a conclusion.)

HIS vs HOPE in Rise.mp4

On Demand Learning: HIS vs HOPE documentation models

Goal: Create a program in Articulate Rise using AI only, as quickly as possible.

What: Using only AI available in Articulate Rise, I created an eLearning module in only one hour. I did not work with SMEs, or have a preexisting framework for the module. I started from nothing to create an outline, develop content, and provide graphics for the module. The AI was not perfect, and did take a significant amount of personal thought to organize the material in a way that made sense, and to create relevant quiz questions. I used AI in Articulate Storyline to create the graphics I wanted. Again, personal thought was needed to give appropriate prompts to create pictures of people without a missing head, or third hand.

Result: In 2025, our organization will transition from the HIS to the HOPE hospice documentation model. To support operational initiatives, we will need to develop learning resources quickly. Because of their daily responsibilities and time limitations, the SMEs work best if we provide them content to edit rather than creating from nothing. Using AI to create modules such as this one will provide the SMEs with this starting point.

HOPE tool (1).mp4

Scenario Based Video: Documenting in HOPE with Mr. Smith

Goal: Build on the HOPE instructional pieces while learning the video creator program Colossyan.

What: Using the AI-generated Mr. Smith scenario written in Rise, I created a video in Colossyan. Due to the limitations of the free version, I explored Freepik for images and used Articulate Storyline AI, but ultimately decided to use Colossyan's built-in graphics. My first video creation mimicked too closely a typical learning module created with Articulate or PowerPoint, so I tried again. This video includes more avatar narration. I exported the video with mandatory captions, which I found distracting, but left them due to limited free software "generations." 

Results: These narrated videos would enhance our learning initiatives, particularly for scenario-based and storytelling learning. The AI options were limited in the free version, but still helpful. This exploration took a few hours, but with more experience in the program, the time required to create learning resources would significantly decrease, meeting the need for quick creation.