知识图谱课程的科教融合教学实践与探讨  

Teaching Practice and Exploration of the Integration of Scientific Research and Education in a Knowledge Graph Course

作　　者：赵登[1] 周长兵[1] ZHAO Deng;ZHOU Zhangbing(School of Information Engineering,China University of Geosciences(Beijing),Beijing 100083)

机构地区：[1]中国地质大学(北京)信息工程学院,北京100083

出　　处：《科教导刊》2024年第35期130-132,共3页The Guide Of Science & Education

基　　金：中央高校基本科研业务费专项资金资助(2652023063);中国地质大学(北京)2024年课程思政教学改革项目(KCSZ202404)。

摘　　要：知识图谱是高等院校人工智能等相关专业开设的课程,是人工智能、自然语言处理、大数据分析等前沿领域的重要研究方向。文章介绍了中国地质大学(北京)信息工程学院开设的知识图谱课程,针对教学过程中存在的课堂内容时效性和实践性不足等问题,结合自身的教学经验与思考,围绕科教机构融合、科教课堂融合、科教践学融合及科教团队融合四个维度,探讨了科教融合下的教学实践举措。Knowledge Graph is a course offered in related majors such as artificial intelligence in institutions of higher education.It is an important research area in cutting-edge fields like artificial intelligence,natural language processing,and big data analysis.This article introduces the Knowledge Graph course offered by the School of Information Engineering at China University of Geosciences(Beijing).In view of problems such as insufficient timeliness and practicality of classroom content during the teaching process,combined with personal teaching experience and reflections,it explores teaching practice measures under the integration of science and education from four dimensions:the integration of scientific research institutions and education,the integration of scientific research and classroom teaching,the integration of scientific research and practical learning,and the integration of scientific research and teaching teams.

关 键 词：知识图谱课程 科教融合 教学实践 

分 类 号：G424[文化科学—课程与教学论]