An Adaptive Learning Method Based on Knowledge Graph

Massive learning resources make online learners in the dilemma of "knowledge maze", while manual planning paths is inefficient and difficult to meet personalized needs learners. Targeted service, propose an adaptive method based on KG(knowledge graph), build a student model platform KG by using education big data, cloud computing new generation artificial intelligence technology, transform theoretical content into practical applications, so as help teachers timely master rhythm focus teaching, improve teaching methods, optimize quality, achieve precision education, differentiated A system with intelligent services. This can provide some support for educational applications such diagnosis, efficient resource organization system.