The invention belongs to the technical field of intelligent teaching, particularly relates to a teaching knowledge
point graph system based on network
swarm intelligence, and aims to solve the problems of single knowledge
point source, poor diversity, repeated knowledge creation and uneven knowledge point quality of an existing teaching knowledge
point system. The method comprises the following steps: automatically extracting teaching plan keywords, inputting the teaching plan keywords into a teaching knowledge point map exploration module, and interactively exploring retrieved information bya user: if satisfactory knowledge is found, directly updating a teaching plan; and if not, supplementing knowledge in a man-
machine cooperation mode. The man-
machine cooperation means that the user and the AI knowledge producer construct new knowledge at the same time and fuse the new knowledge, and the new knowledge is cooperatively created by combining the capabilities of the user and the AI. And the intelligent expert recommendation
system recommends experts to participate in
verification of the newly constructed knowledge by analyzing the knowledge and the
evaluation data of the user, andintegrates the new knowledge with the teaching knowledge
point graph. The invention has the advantages of multiple knowledge point sources, high quality and less knowledge repeated creation.