Our product is an AI-powered personalized learning assistant that revolutionizes knowledge system construction through chatbot-driven interactions. Students can create study topics, engage in dynamic dialogues with AI to obtain customized materials, and instantly transform AI-generated content into mind maps and knowledge graphs.
This visual approach helps learners contextualize knowledge points within broader frameworks and establish interdisciplinary connections (Connect the Dots). The learning journey is divided into three stages:
Input Phase:
Guided Q&A sessions for knowledge exploration
AI-curated structured materials
Automated framework generation for new topics
Processing Phase:
AI-driven diagnostic questioning to identify knowledge gaps
Algorithmic recommendations for targeted exercises
Output Phase:
Feynman Technique integration: Teach-back simulations & mind map reconstruction
AI feedback for iterative optimization
Product Philosophy
Market Opportunity: From Knowledge Transfer to System Building
While 73% of students struggle with fragmented knowledge application, our product pioneers structured knowledge engineering through:
Networked Learning: Merges chatbot interactivity with real-time knowledge graph generation, mimicking expert cognition patterns.
Active Construction: Transforms passive memorization into active system design.
Differentiation: Leading the Visual Cognition Revolution.
Technical Edge:
Multimodal Interaction: Auto-converted chat logs to editable mind maps
Adaptive Knowledge Graphs: Real-time weight adjustments based on learning paths
Experiential Edge:
Cross-Disciplinary Linking: AI prompts connections between subjects (e.g., calculus ? physics models)
