Personalized Tutoring System Based on Video Content Understanding
Project Duration: June 2024 - June 2025
VidTailor is an intelligent video learning platform that generates personalized practice questions by analyzing students' viewing behaviors, providing precise learning feedback and a social learning experience.
- Behavior-Driven Analysis: Real-time identification of learning difficulties based on viewing behaviors (fast-forward, slow-motion, pause, replay, etc.)
- Personalized Questions: Automatically generates practice questions tailored to individual learning levels and weak points
- Instant Feedback: Provides real-time feedback to help students test and reinforce their understanding immediately
- Video Segment Linking: Precisely associates incorrect answers with corresponding video segments for one-click review
- Knowledge Point Highlighting: Automatically records errors and highlights key concepts to build a personal knowledge gap database
- Synchronized Notes: Smart note-taking feature addresses cognitive blind spots, improving review efficiency and knowledge system completeness
- Smart Matching: Recommendation algorithm pairs learners with similar questions or challenges
- Topic Forums: Guides students into relevant discussion groups to share insights and problem-solving approaches
- AI Assistant: Intelligent chat assistant helps discuss difficult problems and pushes relevant knowledge points
- Learning Community: Creates a collaborative learning atmosphere to boost motivation and engagement
- Multi-Round Prototype Testing: Scenario demonstration videos → Low-fidelity prototype interviews → Questionnaire surveys
- A/B Testing: Compares different interaction prompt schemes to optimize the balance between timeliness and distraction
- Heuristic Evaluation: Continuously collects user feedback to iterate and optimize features and interface design
- Significantly improved system usability (SUS satisfaction scores, task completion rates, etc.)
- Validated the effectiveness of personalized learning paths and social learning models
- Provided clear direction for future feature iterations
Pain points of traditional video learning platforms:
- ❌ Lack of supporting practice questions, unable to test learning outcomes promptly
- ❌ Cannot provide personalized targeted exercises
- ❌ Learning discussions scattered across various chat apps, lacking systematization
VidTailor's solutions:
- ✅ Intelligent question generation system based on behavior analysis
- ✅ Personalized learning paths with instant feedback
- ✅ Integrated social learning community
- Video content understanding and knowledge point extraction
- Learning behavior analysis algorithms
- Personalized recommendation engine
- Intelligent Q&A and collaboration system
Project Lead: Yue Li