  Through the combination of crowdsourcing knowledge graph and teaching system,
research methods to generate knowledge graph and its applications. Using two
crowdsourcing approaches, crowdsourcing task distribution and reverse captcha
generation, to construct knowledge graph in the field of teaching system.
Generating a complete hierarchical knowledge graph of the teaching domain by
nodes of school, student, teacher, course, knowledge point and exercise type.
The knowledge graph constructed in a crowdsourcing manner requires many users
to participate collaboratively with fully consideration of teachers' guidance
and users' mobilization issues. Based on the three subgraphs of knowledge
graph, prominent teacher, student learning situation and suitable learning
route could be visualized. Personalized exercises recommendation model is used
to formulate the personalized exercise by algorithm based on the knowledge
graph. Collaborative creation model is developed to realize the crowdsourcing
construction mechanism. Though unfamiliarity with the learning mode of
knowledge graph and learners' less attention to the knowledge structure, system
based on Crowdsourcing Knowledge Graph can still get high acceptance around
students and teachers
