The third week of May 2024 saw some interesting announcements made by Sam Altman of OpenAI and Sundar Pichai of Google. Both tech leaders announced several new product updates. Altman announced Chat GPT4o – the ‘o’ standing for Omni. Whereas Pichai-led Google announced a slew of product updates, an advanced version of Gemini, Veo a direct competitor to Sora for text prompt-based video generation, and Imagen 3 – an advanced image generation model, among others. We are just scratching the surface of the AI-revolution that is upon all of us. As eLearning and publishing industry professionals, we need to closely watch how AI is evolving, stay abreast of the latest technologies, and adopt them in our workflow to simplify tasks. This blog offers five ways in which eLearning companies can leverage AI for rapid eLearning course development.
Design Scoping
The design document is the most important part of any eLearning course. It is the foundation on which the whole course is developed. With pointers for both the instructional designers and the graphic designers, the design document can be created by aggregating inputs from all stakeholders and running it through AI to come up with a concise summary or structure. This can then be further refined by senior managers. The amount of time saved is significant.
Storyboarding and Content Writing
There are several AI-powered writing assistants in the market that churn out content as per prompts, but it still needs to be refined by a human. A key point to note is that the AI tool only offers output based on the input provided by users. So, unless the user knows what exactly they want the AI tool will not provide the right output. AI-writing assistants can be used to create first drafts of the storyboard content. This can be used as a base for further content writing and design.
Visual Imagery – Simplifying Image and Video Generation
Most organizations use stock images and video footage from iStock, Envato, Getty, or FreePik for their visual requirements. Where needed illustrators and animators create visual assets from scratch. AI has completely changed the game now. With recent and video-generation models providing life-like output, the thin line that separates technology from magic seems to be eroding. In the next few years, visual design powered by AI will evolve to such an extent that it will be difficult to distinguish between human-made and AI-powered visual assets.
Quality Assurance and Control
The quality team plays a significant role in the success of an eLearning course. Be it rapid courseware development or a course that is designed slowly over a sustained period, the seal of approval by the quality team is needed for delivery to the client. AI-powered tools now assist in running automated tests of features and functionalities within a secure environment, plagiarism and copy-editing tools like Grammarly, Hemingway, Copyscape are of significant help to quality teams in getting courses checked, audited, and approved quickly.
Accessibility Checks
Compliance with globally accepted web accessibility standards is a must for modern eLearning solutions. Running multiple tests to check if the course works as designed for all members within the target audience with a key focus on accessibility is another parameter in which AI can help eLearning vendors. With significant penalties imposed by governments and statutory bodies on websites hosting inaccessible content, investing in running proper accessibility checks is something that eLearning vendors should consider.
The Way Forward
As AI continues to impact industries and individuals at a micro and a macro level, it is important for working professionals to stay ahead of the AI curve. What was considered impossible five years back in the realms of visual design and content writing is now done at the tap of a button. There will be considerable changes in the way work is designed and delivered in rapid eLearning development. Tools like Articulate Rise, Lectora Inspire, EpicEditor, and Adobe Captivate among others are evolving in tandem, integrating several new features to make the jobs of learning experience designers easier.
At S4Carlisle, we use NINJA, a suite of AI-powered solutions with significant capabilities in adaptive learning design and delivery. By analyzing user behavior and performance data, NINJA creates personalized learning experiences based on individual users' needs and preferences, resulting in more effective and engaging learning. This complements our existing team of learning experience designers. To learn how we can leverage the power of AI to design an impact-driven eLearning course for your organization, please write to sales@s4carlisle.com.
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