摘要
利用网络爬虫软件,在新浪微博、今日头条等大学生活跃度较高的网页上,采集了关于疫情期间“大学生上网课”等话题及评论数据,通过Python软件对采集数据进行切句分词、词频统计,并归类为学情、教情和教学管理等主题词信息。基于更为真实、一手的学生在线教学感受,从提高学生学习效果出发,提出了立足“督学”、坚持“督教+导教”和及时“督管”的“以学评教”督导工作新路径。
Using web crawler software,college students active high page such as Sina Weibo headlines today,college students’online course and other topics and review data were collected during the COIVD-19.Through the Python software to collect data for cutting words of participle word frequency statistics,and classified as learning,teaching and teaching management information.Based on the online teaching experience more real skill,to improve students’study effect,explore the superintendent based adhere to learning supervision,timely guide teaching and to oversee the new path to learning evaluation of teaching supervision work.
作者
陶静
Tao Jing(Nanjing Forest Police College)
出处
《国家林业和草原局管理干部学院学报》
2020年第4期29-35,共7页
National Academy of Forestry and Grassland Administration Journal
基金
江苏省高校哲学社会科学研究项目“‘以学评教’理念下提升高校教学督导实效性研究”,项目编号:2019SJA0519。
关键词
以学评教
线上教学
教学督导
evaluate teaching based on learning
online teaching
teaching supervision
