AI Learn: Source-Grounded AI Course Support with Canvas Integration

Abstract

AILearn is a full-stack, course-scoped AI assistant designed to help students find grounded answers from their course materials while giving instructors tools to manage and improve course support. Students can ask questions through streaming chat, continue conversations, inspect citations and source locations, save useful answers, provide feedback, and view course discussions. Instructors and teaching assistants can create course workspaces, import Canvas courses, rosters, announcements, deadlines, and materials, upload and reingest documents, images, spreadsheets, and media, and monitor processing status. A retrieval-augmented generation pipeline combines indexed course-material chunks with authorized read-only Canvas evidence and conversation context. The system validates citations and routes low-confidence or flagged answers to a staff review queue, where answers can be corrected and published to course discussions. Course analytics summarize usage, confidence, feedback, participation, repeated questions, and response performance. This submission contains the final AILearn presentation and demonstration video.