An interactive, student-facing RAG system—accessed via a web portal or mobile app—that retrieves module course materials from a vectorised course repository. It then generates context-aware answers, study aids, and personalized learning paths.
Core Features
- Dynamic Content Retrieval
- Students ask questions (e.g., “Explain the concept of genetic drift”)
- The system searches indexed materials (textbooks, lecture notes, slides, research papers)
- It compiles the most pertinent sections and uses a language model to form a concise, customized response.
- Study Aids Generation
- Flashcards: Automatically created from the extracted key points and definitions.
- Practice Quizzes: Short, targeted quizzes based on course topics or a student’s recent performance.
- Topic Summaries: Summaries or bullet-point overviews of lengthy texts to help with revision.
- Adaptive Learning Path
- Tracks student questions and quiz performance to identify areas of weakness.
- Recommends additional reading, exercises, or advanced challenges when a student shows mastery.
- Engaging User Experience
- Multimedia Integration: Embeds relevant images, videos, or animations alongside textual explanations.
- Feedback Loops: Encourages students to rate the helpfulness of each answer, refining future responses.
Value for Students
- Immediate, 24/7 access to a Personal AI Assistant with authoritative course content.
- Simplifies deep or complex topics through interactive Q&A and automated study materials.
- Reduces reliance on constant teacher intervention for routine clarifications.