4.2 AI-Agent Layer

Academic Labs will deploy its AI-Agent, powered by advanced machine learning algorithms, to optimize learning paths for learners and educators. The AI-Agent will generate personalized recommendations and adaptive content delivery by analyzing learner data. Educators will receive data-driven insights to refine teaching strategies. The AI-Agent will accelerate the establishment of the AAX Ecosystem and contribute to the formation of our Universal Library of Knowledge, making educational content easily accessible to all users.

AI-based personalized learning:

Academic Labs' AI-Agent layer will optimize course content and resources based on individual interests, abilities, and learning speed. Real-time progress tracking identifies challenges for targeted support. Personalized learning paths and feedback help students excel and improve effectively.

AI-Evaluation System:

Academic Labs' AI agent layer leverages blockchain's interoperability and the universal library of knowledge to analyze students' performance comprehensively. The AI constructs knowledge graphs from the students' database, presenting relationships between mastered concepts, theories, and skills. This multi-dimensional evaluation system provides teachers with a deep understanding of students' cognitive development, enabling personalized teaching strategies.