借助知识图谱建模的数字媒体课程知识教学改革探索

Research on Teaching Reform of Digital Media Knowledge by Means of Knowledge Graph Modeling

互联网技术和信息技术的快速发展将人们带入了大数据时代。在教育领域,知识大数据的不断产生对传统教学方法形成了严峻挑战。分析了数字媒体专业课程教学在知识大数据环境下存在的问题,并介绍了一种基于知识图谱梳理专业知识的课程教学改革方法。新方法首先考虑将教学知识以知识图谱的形式进行表达,随后采用近邻优先的选择策略梳理生成知识序列。教学实践结果表明,新方法能有效梳理知识关系,生成具有较强关联性的知识序列,能较好地支撑课程教学知识的有效讲解和理解,具有较高的推广运用价值。

The rapid development of Internet technology and information technology has brought people into the era of big data.In the field of education,the continuous emergence of big data knowledge also has brought serious challenges to traditional teaching methods.This study analyzes the problems existing in the current knowledge teaching procedure of digital media courses,and introduces a new teaching way by modeling domain knowledge graph.The new method firstly considers the technical knowledge could be expressed as the form of knowledge graph,and then uses the nearest neighbor selection strategy to sort out knowledge relations.The practical results using digital media knowledge teaching as an example show that,the new method can effectively comb knowledge relations and organize knowledge sequences with strong correlation,which can better support the effective explanation and understanding of course teaching knowledge contents,and have obvious application value.