Exploration on the teaching reform of " Introduction to the Chinese National Community " course driven by knowledge map and problem chain 
Cha Xinfang

Changji College of Marxism，Xinjiang Changji，831100；

Abstract: Under the background of digital transformation of education in the new era, the teaching reform of ideological and political theory course in colleges and universities is facing new basis and challenges. As a core course to strengthen the consciousness of the Chinese nation community, the teaching effect of " Introduction to the Chinese Nation Community " is directly related to the effectiveness of national unity and progress education. However, there are still some problems in the teaching of this course, such as the fragmentation of knowledge system, the lack of teaching interaction and the lack of personalized learning support. With the rapid development of artificial intelligence technology, the interaction between knowledge graph and problem chain provides a new technical path for the teaching reform of curriculum. Knowledge graph can realize the systematic organization and visual presentation of curriculum knowledge, while intelligent problem chain can build a hierarchical interactive learning scene, which can build a learning experience from shallow to deep and step by step. The organic combination of the two is expected to break through the limitations of traditional teaching mode. By exploring the dual-driven teaching reform mode of knowledge map and problem chain, this study aims to construct a teaching closed loop of " knowledge-problem-interaction, " which has important theoretical value and practical significance for improving the teaching effectiveness of the course of " Introduction to the Chinese National Community " and enhancing students ' learning effect.

Keywords : knowledge graph ; problem chain ; teaching reform

References

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