Generative AI and instructional design

- You face two key challenges when it comes to instructional design. One is lacking the resources to create relevant and timely training that moves with the flow of business goals and strategic priorities. Second challenge is adapting new dynamic trends and approaches to learning experiences like simulations and gamification. Gen AI can help you streamline the ADDIE model approach and take your instructional design process to the next level by helping you embed simulations and gamification, which are two key learning areas of focus for the future. Let's start with how Gen AI can help with the ADDIE model. For analysis, you can use Gen AI to analyze performance data to identify current learning needs and gaps and provide insights into emergent areas of focus. For design, use Gen AI to generate learning objectives, outlines, storyboards, learning activity ideas and quizzes and assessments. For example, let's say you're designing a program for new healthcare administrators to meet the complex challenges emerging in the industry. You could prompt Gen AI to generate learning objectives and outline the program, along with ideas for specific high-level learning activities. For development, you can leverage various forms of Gen AI from text to image and video as you bring the design phase to life with learning materials. You can use it to guide you in creating learning content materials like scripts, videos, scenarios, role plays, discussions and assessments. For example, for sales training, it could generate customer role plays that require problem solving and consultative selling skills. In the development phase, you can also use Gen AI to generate simulations and gamification to amplify learning. Here are a couple of examples. Perhaps you want to embed gamification and training on effective communication that focuses on active listening for a customer service team. You can ask Gen AI to generate a list of game-based assessments tied to active listening, and incorporate elements of game design, and use timing, scoring, badges and awards. There are a host of Gen AI tools that extend beyond text to AI that can help you build out your gamification strategy. Simulations, using the same example of the customer service team, you can ask Gen AI to generate complex scenarios that mirror the team's real experiences. Let's say the scenario involves a late shipment and the customer is frustrated. The generated simulation can walk the representative through conversational scenarios and analyze and select the best approach to address the customer's concerns. The rep can get real-time guidance along the way and ultimately receive performance feedback. With gamification and simulations, the key is to get Gen AI to help you develop features that will provide the highest level of engagement, immersion and motivation for the team. Now for the implementation phase of ADDIE. Gen AI can be helpful in optimizing learner experiences through personalization and interactive real-time coaching and feedback. I will discuss this later in the course. And for the evaluation phase of the ADDIE model, you can use Gen AI to assess course effectiveness and learner performance. As you can see, Gen AI is an excellent tool for instructional design. But remember, we need your unique human insights and perspectives as an L&D leader. And Gen AI should compliment your instructional design expertise as you design unique elevated learning experiences that reinforce your organization's business goals. In the next video, we'll take a deeper dive into how Gen AI can help you with data analysis.