基于知识图谱的《数据结构与算法》混合式教学的探讨

Exploration of Hybrid Teaching of Data Structures and Algorithms Based on Knowledge Graph

随着大数据、人工智能等技术的兴起,知识图谱作为一种结构化的语义网络,能够清晰地表示实体之间的关系,为知识的表示、组织、检索和推理提供强有力的支持。在教育领域,知识图谱的应用逐渐受到关注,其能够为学习者提供个性化的学习路径、智能化的学习资源推荐以及即时的学习成效评估,从而有效提升教学质量和学习效率。鉴于此,本文基于知识图谱,在践行OBE教育理念的教学过程中,以《数据结构与算法》课程为例,探究基于知识图谱的混合式智慧教学模式,充分利用超星学习通智慧教学平台与数字化教学优质资源,构建“课前自学-课内探究-课后巩固”的混合式教学模式,自上而下搭建本课程的知识图谱,助力学生构建完整的知识体系,解决学生获取知识结构的碎片化问题,提升教学效果,打造混合教学的新模态。

With the rise of technologies such as big data and artificial intelligence,knowledge graph,as a structured semantic network,can clearly represent the relationships between entities,providing strong support for knowledge representation,organization,retrieval,and rea⁃soning.In the field of education,the application of knowledge graphs has gradually received attention.It can provide learners with personal⁃ized learning paths,intelligent learning resource recommendations,and real-time learning effectiveness evaluations,thereby effectively improving teaching quality and learning efficiency.In view of this,based on the knowledge graph,this article explores the hybrid intelligent teaching mode based on the"Data Structures and Algorithms"course as an example in the teaching process of implementing the OBE educa⁃tion concept.It fully utilizes the Chaoxing Learning Smart Teaching Platform and high-quality digital teaching resources to construct a hybrid teaching mode of"self-study before class,exploration in class,and consolidation after class".The knowledge graph of this course is built from top to bottom to help students build a complete knowledge system,solve the problem of fragmented knowledge structure acquisi⁃tion,improve teaching effectiveness,and create a new mode of hybrid teaching.