大数据背景下高校牧草种子学课程教学改革模式研究  

Research on the teaching reform model of Forage Seed Science course in universities under the background of big data

作　　者：斯日古楞[1] Sirigueng(Inner Mongolia Minzu University,Tongliao 028000,China)

机构地区：[1]内蒙古民族大学,内蒙古通辽028000

出　　处：《安徽农学通报》2024年第16期138-140,共3页Anhui Agricultural Science Bulletin

基　　金：内蒙古自治区教育科学研究“十四五”规划课题(NGJGH2021100);内蒙古民族大学高等教育研究一般项目(YB20200017);内蒙古自治区高等学校基本科研费用青年项目(GXKY22145)。

摘　　要：为探索大数据背景下高校草学类课程教学改革模式,本文以牧草种子学课程为例,从实践教学、教学模式和教学手段3个方面出发,分析该课程的教学现状。并积极利用大数据技术提升教学质量,增加实践教学内容,创新教学模式,优化教学手段,使教学方法更加多样化。以满足学生的个性化学习需要,提高学习的主动性及效率,为大数据背景下草学类课程教学改革提供参考。In order to explore the teaching reform model of Grassland courses in universities under the background of big data,the Forage Seed Science course was taken as an example,the teaching status of the course were analyzed from three aspects of practical teaching,teaching model,and teaching methods.And actively used big data technology to improve teaching quality,increase practical teaching content,innovate teaching models,optimize teaching methods,make teaching methods more diversified.Meet students’personalized learning needs,improve learning initiative and efficiency,and provide a reference for the teaching reform of Grassland courses under the background of big data.

关 键 词：大数据 牧草种子学 草种业人才培养 多元教学 

分 类 号：S54-4[农业科学—作物学]