This talk will showcase an innovative AI-enabled learning tool for a real-world use case. Hear how the UBC Cloud Innovation Centre (CIC) developed a cloud-based solution to systematically identify and address student knowledge gaps in real time using instructor-vetted course materials. The solution is designed to accommodate diverse learning preferences and helps to ensure an inclusive and enriching educational experience for all students. It leverages large language models (LLMs) and AWS technologies to analyze curriculum content and monitor students' learning journeys.
By integrating a pedagogically determined concept learning journey with LLM-driven insights, the platform delivers synchronous, targeted feedback on each concept. It effectively unites instructors' expertise with AI's round-the-clock availability. Students benefit from having, in essence, a learning assistant that is accessible at any time, capable of explaining concepts in multiple ways with varied examples, and able to direct them to concepts they should revisit. The solution also benefits instructors as it provides them with analytics that delve into the level of student engagement with the tool.
We will begin this session with a concise introduction to the key Generative AI concepts at the heart of this solution, particularly large language models and Retrieval-Augmented Generation (RAG). Then, we will delve into the specifics of how the cloud-based solution was developed. Finally, the session will include a testimonial from an instructor who has piloted the solution in their class and will share firsthand insights into its implementation and benefits. Through this talk, we aim to demonstrate how these cutting-edge technologies can transcend simple conversational applications to fundamentally transform curriculum evaluation, foster individualized learning paths, and ultimately benefit both educators and students.
