Alrighty. We're at the twelve o'clock mark, so we'll go ahead and get this show on the road. My name is Kyle, and I am a solutions engineer specialist. Prior to working at Instructure, I was a elearning director at a small state college here in Florida. Shout out to all the Floridians in the chat. And I'm really excited today to be talking about the future of AI and ed tech, one that delivers better outcomes for both educators and students. AI is here, and the key is to use it intentionally and transparently to drive real results. The future of AI in education is more than hype. It's about practical outcomes, more efficient educators, more effective institutions, and more importantly, more successful learners. This webinar is intended for people who have not used or seen Canvas in a while. If you are a current Canvas customer, you have probably heard this presentation before, maybe even from me. So we I'm not gonna be offended if you hop off. We're actually planning to do a big Ignite event for our current customers with updated information in November, and we'll send out details soon. So let's start with the AI conundrum. We all know AI use is exploding right now. It's seen everywhere. You can't go down the block without having having heard the word AI, and educators are nervous about it. Now this isn't to say that institutions are behind or doing anything wrong at all. The truth is AI is changing incredibly fast, and most of these tools are freely available for students and educators to go up and just try. But before on administration side, trying to deploy AI effectively across institution, Now that is a much, much harder challenge. Educators are cautiously optimistic about the impact of generative AI in education. However, they're hungry for insights into how to navigate the world of AI. For example, the real impact of our district and student outcomes. There is definitely a lot of complexity, and it can be overwhelming. So unlocking AI's promise requires more than just great technology. Some of the top challenges are fairness, ethics, and institutional risk, concerns and accuracy, and faculty buy in and adoption. I remember when I was an admin and the faculty buy and adoption was huge. We couldn't just turn in, buy a tool and just hopefully they use it. The faculty buy and adoption is such a huge aspect not to even compile the concerns and the fairness and ethics of a AI. So what support's needing? Need some framing around AI. It's not gonna replace educators. The vetting and implementation of AI effectively, transparency of how your data is being used or if your data is being trained on, and clarifying oversight, human oversight needed. So this means keeping human in the loop. We wanna be able to keep human in the loop and not just trust AI with our educate. So these are some real problems that the AI conundrum is creating. After speaking with administrators at dozens of institutions across the globe, Here's the formula we've seen for successful adoption. Confidence. First, you have to be confident in your AI tool when bringing them into campus. And what does that mean? It means making sure they comply with all your important rules like COPA, FERPA, and GDPR, just to name a few, and really digging into their privacy and security before anyone uses them. With all the talk about AI needing to be transparent, you also want to understand how these tools actually work. Only when you feel good about all that can you really push for people to start using them, which tees up to the next adoption. Next, there's adoption. It's tough. Right? Trying to keep track of all the different tools your staff and students have access to, especially if they are all are separate or don't play nicely with your existing systems. If you want everyone to use AI tools you approved, they need to know what's out there and and how you want to use them. And here's the kicker. These tools need to be right there in their daily workflow, not just having to go out of the way to log in or go find it. That's how you actually get people using them. And last but not least, the value. The most important piece. At the end of the day, AI has a massive potential to really help students learn to break down barriers in the way of learning and make make your staff's jobs a lot more efficient. When putting AI in place strategically, you can unlock the huge benefits that directly support them in trying to achieve your institution. And that all leads to the assess successful adoption of AI in education. So this is exactly why we built Ignite AI, secure in context AI, and education, The way it helps is twofold. First, you get instant access to a ready to go AI solutions right from within Canvas and Mastery. This means less hassle for you and your team and more immediate value for everyone. How nice is it that you can just log in to Canvas and you don't have to install an LTI, and the AI is just right there at your educator's fingertips. Second, we're building a nine AI to seamlessly connect all your other tools. We've always provide prided ourselves on being the most open and connected ecosystem in educational technology, and we're truly excited to bring the incredible power of AI into the same open environment. I like to think of us as I like to think of Ignite AI as a conductor. Let me show you why. We we like to think of ourselves as conductors more figuratively. AI comes. AI leaders come to us first when they want to bring their solutions into education. We're among the first to integrate with Google Gemini LTI, and we're the first chosen by Anthropic to integrate Cloud via LTI. And we have more integrations in development with Copilot and OpenAI. The latter was the latter recently announced, and I can dive more into that upcoming functionality later. But first, I wanna take a few moments to show Ignite AI in action, and what does it mean to have secure in context AI. Well, it looks like working smarter and faster. In this example, generating rubrics via Ignite AI drives educator efficiency efficiency by streamlining. I know when I teach, rubrics are so important to me, but they are still take so much time to generate and make sure they're accurate. So with the help of Ignite AI, I'm able to get a baseline rubric that I'm able to use in my classroom with just a simple prompt that I'm no longer Having to think and be very intentional about the rubric I create with that. Okay. Next is supporting and engaging students by translating communication. That's just one example. This way, we're breaking down barriers so we're able to connect our students and meet them where they're at. I know when I teach, sometimes I have the, students who, English may not be their first language, and I always feel like, man, I wish I could just meet them where they're at, Even try picking up Duolingo or using some translation. That is no longer needed with Ignite AI translation. We are able to meet the students where they're at and able to communicate them with them efficiently. The next part, Ignite agent. The ignite agent includes many features in Canvas and Match. Additionally, institutions will have the option to implement a product called ignite agent. The Ignite Agent is designed to handle more complex tasks and engage with various AI solutions within the instructor ecosystem using a simple prompt. Think of this as a catch all for AI assistance. When a specific prebuilt use case isn't available, Edu educators can ask questions or give commands related to their courses and students. The Ignite Agent will will have a deep integration with Canvas, plug in to over seven hundred Canvas APIs, and with plans to integrate with partner APIs. This allows it to perform a wide range of actions directly within Canvas. It can assist with tasks like identifying students enrolled in class or helping them extend assignment deadlines. It can even create modifications to assignments based on educator input. A key feature of the Ignite agent is its transparency. It will always show you its work just like in math class, outlining in its steps and plans to take and allowing educators to review and approve each action. This builds confidence by ensuring the educator remains in control, and that's going back to the human in a loop as we talked about before. The Ignite agent is interactive, allowing educators to say yes or no to the pro steps and ultimately commit their actions. The Ignite agent has potential for powerful and innovative use cases. An An example includes identifying struggling students based on certain criteria, creating a differing tags on them, generating new assignments, and even using third party AI content generators to create targeted learning materials. It embodies the agent agentic workflow, orchestrating tasks by potential routing, different parts or request to various AI agents within the ecosystem, including institutional third party agents. From the educator's perspective, this aims to provide a unified experience rather than requiring them to interact with multiple disparate AI tools. Think of the Ignite agent as the prima ballerina of the Ignite AI ecosystem, demonstrating the power of connecting multiple different AI solutions. Ultimately, the Ignite agent aims to provide a single orchestrated interaction within Canvas leveraging the entire ecosystem of AI to address educators' needs efficiently Due to its compute intensive nature and differentiation capabilities, the Ignite agent will be offered as an add on solution to Canvas not as a default feature. I am extremely excited about the Ignite Agent. I have been using it for the last past couple months internally, and it will change my life as an educator. I can just go in there, ask the Ignite agent, identify students who did not pass my midterm with a sixty percent or more, create an assignment for them based on my educational technology syllabus, and then generate the assignment, assign it to those students to provide additional help in their academic journey. That would have taken me an hour or so. This will be done within a couple minutes with just a single prompt. I'm so excited about this, and I really think it's a game changer to the education and Canvas ecosystem. But you don't have to hear it from me. This is what one of our early adopters had to say about Ignite AI and why does Ignite AI work. And that's from Robert Renquist, administrator at Chaffney College in California, USA. So this is something I'm really proud of that we do in Structure. To build confidence, we're using in we're introducing AI nutrition facts at your fingertips. All native features and partner integration will include nutrition facts detailing the models used and how data is handled with the use of PAI and other key information. Our tools will adhere adhere to consistent framework for data privacy with the majority of use case launching at level two, no data used to train its AI modules. The transparency will empower educators to make informed decisions about using AI. This is such an amazing thing. As a avid AI user myself, I constantly look at the security and privacy of the AI tools I'm looking at. And the way we expose that with just a single click of the button within the product, I don't have to scroll through terms and services. I don't have to go back and read the contract. It is right there within the product. I'm so proud that we are doing this. Ignite AI is not a separate product. It infuses and improves existing educational workflows within Canvas. We will have consistent indicators AI like specific logo or sparkle icon along with tooltips providing control and choice over AI use. Educators can take the task, the Ignite agent chatbot with Novel, multistep workflows, leveraging the power of our amazing APIs. Ignite AI enables educators to engage other AI solutions with their learning ecosystem, generating solutions to complex problems with a single prompt through our Integration capabilities. So Ignite AI delivers tons of meaningful use cases aimed at improving student achievement, educator impact, and institutional effectiveness. These use cases are based on feedback from educators that address key pay key pain points. This is something we've surveyed our our educators who use Canvas, and I'm proud to say we take their feedback and implement it. Examples include grading assistance, promoting equitable, equitable, and learning content generation and modification, student management tools, leveraging analytics in a human way, and improved search and support. This is just the beginning. There are many more. To come as we gather feedback and identify opportunities. Now I'll get to show you some of the tools in action. So I'm going within Canvas, and I'm going to click on my Ignite AI. Quiz I have. Don't mind my slow Internet speeds? Internet's a struggle here in Florida today. So the first thing I wanna do is I wanna create a rubric. So I can name my rubric quiz two rubric. I set the scale, the rating display, my rating order, and the scoring, whether it be scored or unscored. And here, we have that sparkle icon identified. Auto generate criteria. So from here, I can select my grade level, higher education, the number of criteria. Let's go with four. I like the four range and twenty points per criteria. Let's change this to twenty five. We get an e one hundred. Here, can put in my standard outcome information. And here, I can do additional prompts with if I would like, but I'm just gonna click generate criteria. And this is taking the context of my quiz. This is taking the quiz, looking at the context, and generating the rubric based off that context. How cool is that? You're able to just generate criteria, and it knows where you're at in your quiz or education system. It's a really cool thing to see. So as we see here, it generated the rubric, and I'm able to regenerate or edit the rubric right from here as well, making sure I approve each single one. And then I could create create rubric, and my rubric is saved. How easy is that? I know I mentioned before creating rubrics was time intensive for me. With this, I'm able to get a baseline rubric spun up extremely fast. Next thing I wanna show you is item authoring assistance. So I'm gonna go still in the same quiz. I'm gonna go to build. Nice. And I'm going to click on the plus icon, generate with AI. And if you notice up here, I have this eye icon, and here is the nutrition facts I spoke about. How great is that? I'm able to identify how the AI is using my data or if it's not using my data all within a button click. So here, I can select the content from my course. So I'm gonna click on scientific investigation and experimental practice design select. What we're doing here is we're adding context to our quiz. This is gonna generate quiz questions based off of this content. Here I can do text input if I need to do additional material to cover, or even upload a file. And here's my topic focus. So I'm going to get my topic focus. Paste it in there. Generate questions that focus on experimental design, best practices, planning, carrying out investigation using NGSS scientific and engineering practices. Here, we have more options. This includes different options. I can select the outcomes I have within my course, the depth of knowledge, the level of Bloom's taxonomy, and the language. So I'm going to select multiple choice question, number of items, five. Generate items. Thank you to my Internet service provider. That is slow on the day I have a webinar in front of all you great folks. Great time. So as you can see, it generated the questions right here, and I'm able to edit them as well. I can click on edit review and review or regenerate. I'm gonna click on edit and review, And I'm able to edit the questions from here as well. If I don't like this, I can click on the trash icon, and it'll get rid of that question. I can set how many points and the answer. Save and next. And go through all five doing the same, making sure that the human is in the loop and we're not just blindly trusting AI with our education. Save and next. Save and next. Say the next. So now we have all five of them. Add to quiz. It saves it, and our quiz is generating. How amazing is that? I mean, just like that, I'm able to build a quiz for my students and make sure they're assessed appropriately on the content we have. So I just wanna say thank you. If you're interested in Ignite AI, please scan this QR code or go to Instructure dot com slash request demo, and we will Get you a demo. Amanda, Deepa, are there any outstanding questions that I can answer? Nope. I think I'm good on my end. Thank you, Kyle. Great. Well, thank you guys so much for attending. It was really great to show you our Ignite AI offering product, and I really hope you guys take a second and request follow-up for it. You guys have an amazing Tuesday, and I'll see you later. Bye.