Introduction
The business landscape evolves rapidly. Organizations must constantly adapt, particularly in the development and delivery of learning content to upskill and reskill their workforce. Traditional learning content creation is time-consuming and expensive, and can leave learners uninspired. With the emergence of generative AI – or AI that can produce various types of content, including text, imagery, audio and synthetic data – there is an opportunity to revolutionize the instructional design process, making it more efficient, cost-effective, and engaging.
Executive Summary
This whitepaper explores the potential of generative AI in reshaping the creation and delivery of interactive narrative-based learning content and optimizing how instructional designers are able to work, relating to everything from script writing to animations. It delves into the challenges faced by traditional learning content creation methods and presents a solution that leverages the power of AI tools, such as Elicit, ChatGPT, and Midjourney, to streamline the development process, reduce costs, and improve the overall quality of training programs. For example, AI can augment instructional designers' ability to tailor experiences to specific teams, departments, and even individuals based on their roles and training needs.The paper also discusses the risks and limitations associated with generative AI and proposes strategies for mitigating them.
By examining our organization's experiences in integrating generative AI into the instructional design process, this paper highlights the transformative impact achieved through time reductions, increased quality, and a more engaging learning experience for learners. This approach allows our production teams to concentrate on delivering high-quality learning experiences while leveraging the efficiency and capabilities of generative AI. We'll take a look at how redefining our team organization and process refinements to content creation accelerated these results.
We'll also dive into Talespin's lessons learned from working with AI, including why the following refinements have helped us better serve our customers:
- Why It's Key to Separate Learning Engineering and Production
- How to Standardize Training
- Emphasizing Editing Over Writing
- Treating Generative AI as a Dance Partner
Furthermore, the paper looks at future prospects and the potential of generative AI to create personalized learning modules tailored to individual learners' preferences and performance, enabling organizations to foster a culture of continuous growth and adaptation.
At the end of the day, Generative AI is poised to revolutionize the creation and deployment of immersive learning content. As an organization, it is imperative to proactively adapt to this transformative technology. It is time to reevaluate your organizational structure and content production methods. This transition necessitates the acquisition of new skill sets and a fundamental shift in your operating model – in order to effectively harness the power of generative AI in building and delivering exceptional learning experiences.
[For the best reading experience, we recommend downloading our complete whitepaper using the link provided below.]