Introducing a No-Code AI App Builder for MIT Sloan Courses

Introducing Stack AI

We’re committed to preparing the MIT Sloan community for an AI-driven future. That’s why we’re excited to offer accounts for experimental use with Stack AI – a no-code platform that allows you to create AI-powered applications in your courses.

What is Stack AI?

Stack AI is a powerful platform that you can use to build sophisticated AI workflows, apps, and tools without coding experience. It uses Retrieval-augmented generation (RAG), allowing you to choose your own data sources. This means you have full control over the information your AI tool references, ensuring accuracy and relevance to your course or project.

As part of our ongoing Classroom of the Future initiative, we’re inviting the MIT Sloan community to explore the potential of this technology to augment how we teach and learn.

Use Cases in Education

Stack AI can support your teaching and students’ learning in various ways, including the following:

• Course Bots: Create chatbots that answer questions about your specific course content and logistics.
• Interactive Simulations: Develop AI-powered simulations to bring theories to life.
• AI-Enhanced Student Projects: Assign students to build AI tools that demonstrate course concepts.
• Real-World Problem Solvers: Guide students in creating AI applications for actual business challenges.

Tips for Effective Integration

Choose Stack AI projects that directly support your course goals. Ask yourself: “How does this AI tool or assignment help students master key learning objectives?” The true power of Stack AI lies in its ability to transform abstract ideas into tangible experiences. As you incorporate it into your course, focus on creating opportunities for students to interact with complex concepts, solve real-world problems, and develop skills crucial for their future careers.

Readiness Checklist

Stack AI is designed to be user-friendly and doesn’t require coding skills, though it thrives in the hands of curious and adaptable individuals with the following skills to experiment autonomously:

• Passion for Your Subject: You have a solid grasp of your course content or area of expertise.
• Tech Curiosity: You enjoy exploring new digital tools and aren’t afraid to learn through trial and error.
• User-Centric Thinking: You can put yourself in your students’ or end-users’ shoes when designing interactions.
• Clear Communication: You’re good at crafting clear instructions and anticipating how others might interpret them.
• Problem-Solving Mindset: You like tinkering, testing, and refining to make things work better.
• Data-Driven Approach: You’re comfortable looking at usage data and using insights to make improvements.

Getting Started with Stack AI

Visit our Tool Overview: Stack AI page to learn more about the technology and activate your account.

Final Thoughts

Stack AI represents a significant step forward in our mission to co-create the Classroom of the Future. By providing hands-on experience with AI application development and use within our courses, we’re enhancing our teaching methods and equipping our students with valuable skills.

For students, this is an opportunity to gain practical AI experience within the context of your coursework. For faculty, Stack AI opens new possibilities for innovative teaching and course-related projects.

We invite you to explore Stack AI and discover how it can enhance your teaching and learning experiences at MIT Sloan. Your creativity and feedback will be instrumental in shaping the future of AI-powered education in our classrooms.