基于深度学习的网络信息资源知识图谱在生理学教学中的运用研究  

Research on the Application of Knowledge Atlas of Network Information Resources Based on Deep Learning in Physiology Teaching

作　　者：黄德伦 伍冠一[1] 韦燕飞[1] HUANG Delun;WU Guanyi;WEI Yanfei(Guangxi University of Chinese Medicine,Nanning Guangxi 530000,China)

机构地区：[1]广西中医药大学,广西南宁530000

出　　处：《信息与电脑》2024年第17期121-124,共4页Information & Computer

基　　金：广西职业教育教学改革研究一般项目(项目编号:GXGZJG2022B148)。

摘　　要：在信息技术飞速发展的今天,大学生理学教学领域拥有广阔的发展潜力。本文探讨了基于深度学习技术构建的网络信息资源知识图谱,在大学生理学教学中的运用价值及具体运用方法,旨在推动学生的深度学习。研究结果表明,利用知识图谱进行生理学教学有助于学生构建系统化、结构化的知识体系,提高问题解决能力,促进深度学习。In today’s rapid development of information technology,the field of university physiology teaching has a broad development potential.This paper discusses the value and specific application methods of knowledge mapping of network information resources constructed based on deep learning technology in the teaching of university physiology,aiming to promote students’deep learning.The results of the study show that the use of knowledge mapping for physiology teaching helps students to construct a systematic and structured knowledge system,improves problem solving ability,and promotes deep learning.

关 键 词：深度学习 网络信息资源 知识图谱 大学生理学教学 

分 类 号：G642[文化科学—高等教育学]