Crafting a program structure with generative AI

- [Instructor] Program structure can make or break learning experiences, so the design must be learner-centered. This video is about helping you understand how GenAI can help you identify and build a learning program structure that aligns with learning objectives, engages learners, and drives learning effectiveness. Often the challenge is that building a learner-centric program structure can be very time-consuming. GenAI is an excellent tool for helping you do this more efficiently. Continuing with the futures thinking leadership development scenario, keep in mind that while you need to maintain focus on learning objectives and strategic alignment with business goals, you must also ensure that the program architecture and delivery methods are centered around different leadership levels, they're learning preferences, and that you are flexible with the modalities for time and length considerations. Research suggests that shorter programs are very effective, particularly for leaders. So based on the needs assessment and learning objectives, perhaps you focus on a five-day futures thinking leadership program and use GenAI to help you build the program framework. First, let's look at ways GenAI can help you build the architecture for the five-day futures thinking program. It can help you develop a strategy for identifying and embedding learning preferences and experiences across leadership levels. It can help you create structured modules that clearly align with the learning objectives of developing adaptability, problem-solving, decision-making, and future thinking capabilities. It can help you develop an approach for combining in-person, virtual, synchronous, and asynchronous modalities. And it can help you create a list of the most appropriate interactive design elements, like micro peer-to-peer and scenario-based learning, coaching, and mentoring, and even self-reflection. Now, let's take a look at a couple prompt examples. To determine learning preferences, you can use a prompt like this. "I need to understand how the learning preferences and needs of mid-level managers differ from those of new managers in leadership development, specifically in the context of futures thinking and strategic decision-making. Please provide a detailed comparison of these two groups across learning format, pace, style, and practical application." Now for program structure, you can write a prompt like this. "I'm designing the architecture for a five-day future thinking leadership development program aimed at mid-level managers. The program should align with key learning objectives of developing adaptability, improving problem-solving and decision-making, and building futures thinking skills. Please create a detailed five-day program structure that includes the following, module titles, module descriptions, learning outcomes, progression, interactive learning activities, and practical applications." Here's an example of the output. As you can see, this five-day program ensures that each module builds progressively from foundational to advanced concepts, provides a mix of interactive activities and applications, and enhances adaptability, problem-solving, decision-making, and futures thinking in a practical, engaging manner. This enables learners to apply what they've learned to their leadership roles. In the next video, I'll show you how to use GenAI to outline content for the modules.