数字驱动的创新创业学科知识图谱建设路径

The path to constructing a digital-driven knowledge graph in innovation and entrepreneurship education

随着人工智能在教育领域的广泛应用,高校创新创业教育正朝着智能化、个性化的方向蓬勃发展。学科知识图谱作为一种庞大的语义网络工具,可将知识点与知识点以及知识点与教学资源之间的联系建立起来,在创新创业教育中展现出广阔的应用前景。创新创业学科知识图谱能够实现对学科知识的抽取和表达,形成知识的动态循环,重构创新创业课程基础知识关系,构建完整的学科知识体系,从而实现智能化的“教”和个性化的“学”。可通过以下路径构建创新创业学科知识图谱:首先,构建创新创业学科的多模态静态教学资源数据库;然后,形成多模态动态教学过程数据库以记录和分析教学过程中的动态信息;最后,构建创新创业学科知识图谱以促进教学资源的有效整合和知识的动态更新。

With the widespread application of artificial intelligence in the field of education,innovation and entrepreneurship education in colleges and universities is booming in the direction of intelligence and personalization.As a huge semantic network tool,the subject knowledge graph can establish the connection between knowledge points and between knowledge points and teaching resources,and shows a broad application prospect in innovation and entrepreneurship education.The knowledge graph of innovation and entrepreneurship can realize the extraction and expression of subject knowledge,form a dynamic cycle of knowledge,reconstruct the relationship between the basic knowledge of innovation and entrepreneurship courses,and build a complete subject knowledge system,so as to realize intelligent“teaching”and personalized“learning”.The knowledge graph of innovation and entrepreneurship can be constructed through the following paths:firstly,a multi-modal static teaching resource database of innovation and entrepreneurship discipline is constructed;Then,a multi-modal dynamic teaching process database is formed to record and analyze the dynamic information in the teaching process.Finally,the knowledge graph of innovation and entrepreneurship is constructed to promote the effective integration of teaching resources and the dynamic update of knowledge.