The invention discloses
a domain knowledge driven intelligent teaching assisting
system based on multi-agent cooperative
workflow, and relates to the technical field of education, and the
system is characterized in that a
workflow scheduling agent creates a task context, transmits information and dynamically arranges an
agent combination; the resource
perception collects textbooks and the like and outputs standardized data; constructing a
knowledge graph on the basis of knowledge construction; questions are understood and answered to generate answered student questions; planning a learning path according to the learning strategy; the interaction and feedback realize input and output conversion, content presentation, collection and feedback to the scheduling agent; a multi-agent collaborative architecture is adopted, teaching materials are integrated to construct a
knowledge graph, students' questions are accurately understood, answers fitting key points are generated,
personalized learning paths are planned, multiple interaction forms are supported, a complete
closed loop is formed, the mode adapts to different students, knowledge weak points are made up, traditional limitations are broken through, initiative is stimulated, and the learning efficiency is improved. And collaborative improvement of learning efficiency and teaching quality is realized.