From the course: Beyond the Basics: Designing AI Enhanced Learning Experiences

Onboard your AI learning team

- [Instructor] In chapter one, we focused on the analysis phase of ADDIE. Now we're ready to get into the design phase. This phase focuses on creating learning objectives, selecting instructional strategies, and planning the course structure. The learner insights and teaching statement will provide your AI tool the clarity it needs to align its output with your vision and methods. There are many different options for how and where you can build these chatbots. For example, inside OpenAI's ChatGPT, you can create custom GPTs. Microsoft also has this inside the Copilot Studio. You have companies like Chip where you can create, brand, and even sell ones that you create or use them privately with a group of select users. In this course, we are primarily going to use ChatGPT. So, let's get started. Now, we don't want to have to repeat ourselves every time we start a conversation with our AI tool, so we're going to create our own custom GPT. Custom GPT is a technical term, but I want you to think of each GPT as a teammate, and you can hire as many as you want. To begin, we're going to open our sidebar and come to Explore GPTs. We're going to come to the top right and create our own. First we're going to tell our GPT what it is we would like to create. Now, the same way we as people don't like to wear many hats, neither do your AI tools. They work best when trained to do a focused task. So, you might create one for lesson design, maybe another for feedback. This ensures more focused training for the tool and allows us to be more specific about the structure we want when it's creating its responses. This also reduces the mistakes it might make. So, let's have this custom GPT or team member support me in designing learning experiences. It's going to take a few moments to update and remember these instructions, and then it's going to want to name itself. Now, you can go back and forth on this if you want, but I'm just going to go ahead and say yes. Next, it's going to want to create an image. Again, you can go back and forth on this, but I'm just going to go ahead and say yes. Now, once it's done with this, it's going to start asking us some questions. This is where our documents play an important role. We're going to tell it that we're going to start by sharing two documents, first, our learner insight survey. So, we're going to want to upload the survey again, and I have it here, and then we always it to tell us what it sees. So, it's telling me over here that it's seeing the preferred learning formats and all the other pieces of information that were part of my survey. So, now I know we're on the same page. Now, even though it's going to ask you questions, you just stick to your plan and we're going to share our second document. So, next we're going to do the same thing for our teaching statement. I'm going to share my teaching statement and I want you to tell me what you see. Now, you might be tempted to fix these grammatical errors, but don't worry. Your AI tool can read between the lines. Let's go ahead and attach the file. Here's my teaching statement. I can see it's been attached. Now I'm ready to see what it sees. And you can see here it's telling me my teacher statement has a strong learner-centered philosophy, which is correct, and these are the key elements of my teaching statement. Now, if there's any other information you'd like to share, this is a great time to do so. However, remember, you can always come back and update these instructions as you continue to refine how it performs. Think of this in the same way we give guidance and feedback to new hires. Now it's time for a quality control check. With this next prompt, which, as always, you can find at the end of the chapters, we're going to ask our custom GPT or teammate to create a sample lesson plan. As it does, we're looking to see how well does it apply the learner insights from the survey and the qualities we shared in our teaching statement in the lesson. Now, let's say I'm teaching a new class on introduction to generative AI to my learners and I need an opening lesson. Now, because I've provided the survey and my teaching statement, I'll be able to come in with a much simpler prompt, something like this. And remember, you can find these at the end of the chapter ready for you to copy and paste and personalize. Now, one of the things I've said here in my prompt is that I want my learners in my introduction to generative AI class to explore how AI's influencing workforce trends based on the Microsoft Work Trend Index report. Now, I don't want to make any assumptions that it knows what that is, so I'm also going to come here and attach the Work Trend Index report that I have saved here. And with that, it's going to upload and now we're ready to see what a sample lesson plan is that my custom GPT or teammate might create for me. Now, since I had told it 90 minutes was my timeframe, you can see here it's creating a 90-minute lesson plan. It's going to break it down for me by different sections and tell me how much time each one will take. And now it's my turn as the leader of the AI team to come in and give any feedback, edits, and continue the conversation for what I like, dislike, or maybe I have a new idea for something we might like to do. Now, this is enough information for our AI tool to get started. Now, you'll notice up here on the left, we've been in the Create tab. I want to take you over here to Configure. Here you'll see a summary of all the instructions we've given to our AI tool, and I want to bring your attention over here to Knowledge. One of the things that can really help our AI tool or our new team member perform even better is by sharing examples of lesson plans or any other task it is that you're having your AI tool do over here by uploading these files. The same way we would share information with a new employee, the same way we want to be able to share best practices and examples with our AI tool. You'll also notice down here that only two of the three areas have been checked. So that we can continue working with data, we're going to want to check this one too. Congratulations, you just trained the first member of your AI team, your learning experience designer. Now we're ready to come up to the top right and create. It's going to ask us who we want to share this with and I'm just going to keep this for myself right now. Great. Its first set of instructions have now been updated. Now, if you decide later to make this publicly available, you can do that or you can also share it with internal members of your team. Let's go ahead and view the GPT. And here he is. My learning architect is now ready to get to work. Now, what if I need to find it for next time? Let's say I started a new conversation and I need to get back to my learning architect. On my sidebar on the left-hand side, you'll see I've created quite a few custom GPTs and one of the ones here is my learning architect. You'll always be able to find your custom GPTs on the left-hand side of your toolbar, and just like that, it's ready to get to work. While we invested a little bit of time in gathering the data, it's just like hiring a new employee. The stronger their foundation and the more they know about you and your goals, the more they are aligned to support you. This investment not only enhances what's possible for how we design learning, but personalizes the experience for our learners, making them feel seen and heard.

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