eLearningbyDana

AI in eLearning

Use artificial intelligence to support the design, development, and delivery of learning experiences — while keeping human judgment, learner needs, and learning goals at the center.

AI in eLearning

Let AI accelerate the work — not replace the thinking.

AI can help instructional designers research, brainstorm, draft, create media, build learning assets, and speed up repetitive production tasks.

The strongest results come when AI handles pieces of the workflow while people continue to make the instructional, creative, ethical, and quality decisions.

Use AI as a Thinking Partner

One of AI's most useful roles happens before anything is built: helping designers explore possibilities, challenge assumptions, and get unstuck.

Instead of

“Create a course about giving feedback.”

Explore What might learners actually need to practice or decide?
Compare What are three different ways this learning experience could work?
Challenge What assumptions are we making about the learner or problem?
Refine Where could the design be simpler, more realistic, or more useful?
The quality of AI output improves when you ask it to help you think — not simply ask it to produce.

Accelerate Content and Course Structure

AI can create useful first drafts quickly. The instructional designer still determines what belongs, what doesn't, and how the content should support performance.

Input Source material

SME notes, documents, policies, transcripts, research, learner data, or project requirements.

AI assists Generate possibilities

Summaries, outlines, scenarios, question ideas, examples, scripts, objectives, and draft copy.

Designer decides Shape the learning

Verify accuracy, remove unnecessary content, improve flow, align practice, and create the final learner experience.

Treat AI-generated content as material to work with, not automatically as finished instructional content.

Expand What's Possible With Visuals and Media

Generative tools can dramatically shorten the distance between an idea and a usable learning asset.

Images + illustrations
AI video
Voice + audio
Graphics + layouts
Prototype ideas

Explore visual directions before investing heavily in production.

Create custom assets

Develop images and media tailored to a specific situation instead of relying entirely on stock.

Update faster

Revise narration, scenes, graphics, or localized versions without recreating everything from scratch.

Faster asset creation creates more room to explore — but visual relevance and learning value still matter.

Shift Time From Production to Higher-Value Work

AI is especially useful for repetitive production work that consumes time without necessarily requiring instructional judgment.

Drafting + rewriting
Quiz variations
Narration + captions
Asset production
+
More analysis

Spend more time understanding the actual performance problem.

+
More learner experience

Focus on practice, decision-making, feedback, and usability.

+
More iteration

Test ideas and improve the solution instead of spending all available time producing the first version.

The real productivity gain isn't just making courses faster. It's changing where the designer spends time.

AI Toolkit: Plan + Create

Rough workflow: Think → Research → Design → Author

Early in a project, AI can help you make sense of source material, explore ideas, organize content, and move from a blank page toward a workable learning design.

Tool Best fit How an ID might use it
ChatGPT Think + explore Brainstorm approaches, analyze learning problems, draft outlines and scenarios, challenge assumptions, rewrite content, and explore alternatives.
Claude Analyze + draft Work through source material, synthesize information, explore structure, develop drafts, and refine longer-form content.
Gemini Notebook Source research Work with project sources, ask grounded questions, compare information, identify themes, and trace responses back to source material.
Articulate AI Assistant Course authoring Turn prompts or source content into course drafts, generate and revise text, develop knowledge checks, create imagery, and accelerate authoring.
Canva Magic Studio Visual concepts Explore layouts, generate or modify graphics, develop visual directions, and create supporting learning assets quickly.
Think of the order as a guide, not a rule. The same tool may support several stages of a project.

AI Toolkit: Produce + Polish

Rough workflow: Create Assets → Produce → Narrate → Edit

As the design becomes more concrete, specialized AI tools can help turn scripts, concepts, and course content into visuals, video, narration, animation, and polished media.

Tool Best fit How an ID might use it
Adobe Firefly Images + creative media Generate and refine images, explore visual concepts, edit creative assets, and create supporting image or video content.
Synthesia Training video Turn scripts into presenter-led videos, create multilingual versions, and update training without reshooting footage.
Vyond Go Animated video Turn prompts, scripts, documents, or source material into editable video drafts for explainers, scenarios, and training content.
ElevenLabs Voice + narration Generate narration, alternate voices, and multilingual audio for courses, videos, demonstrations, and scenarios.
Descript Audio + video editing Edit recordings through text, refine narration, clean audio, work with transcripts, and speed up post-production.
Choose the tool based on the production need — not simply because the tool includes AI.

Verify Before AI Output Reaches the Learner

AI can sound confident even when its output is incomplete, inaccurate, biased, or inappropriate for your organization.

Check accuracy

Verify facts, policies, procedures, examples, citations, and technical information.

Protect information

Follow organizational rules for confidential, personal, proprietary, or regulated content.

Look for bias

Review language, scenarios, characters, assumptions, and generated imagery.

Check accessibility

AI-generated assets and content still need accessibility review and testing.

“AI generated it” doesn't change who is responsible for what ultimately reaches the learner.

Keep Human Judgment at the Center

AI can generate more possibilities than ever. Instructional designers still determine which possibilities make sense.

AI can help...

Generate options quickly
Summarize large amounts of content
Produce drafts and variations
Automate repetitive production
Human
+ AI

People decide...

What problem needs solving
What learners really need
What belongs in the experience
Whether the final solution is accurate, ethical, useful, and effective
AI changes how instructional designers work. It doesn't remove the need for instructional design.

Planning an AI-supported learning project?

Use AI with a clear learning purpose.

If you have content, ideas, or a course that could benefit from AI support, start by clarifying the learning goal, the audience, and the part of the project where AI can help most.

Share a Learning Project

Tell Me About Your Learning Project

Better courses start with better questions.

Thanks for sharing where you are in the process. Answer a few quick questions so I can better understand your project, timeline, and what kind of support may help you move forward.