论大数据条件下推进学生深度学习的教学设计  

Teaching Design to Promote College Students'Deep Learning under the Condition of Big Data

作　　者：徐立忠[1] 高旭[2] XU Li-zhong;GAO Xu

机构地区：[1]江苏警官学院教务处教务科,南京210031 [2]江苏警官学院治安系

出　　处：《江苏警官学院学报》2020年第4期112-117,共6页Journal of Jiangsu Police Institute

基　　金：2019年江苏省高等教育教改研究项目“公安本科院校大数据条件下实战化教学改革路径研究”(2019JSJG006)。

摘　　要：在信息化时代,大数据正冲击着传统课堂教学。以MOOC为代表的数字化教育已经成为新时代高等教育的重要组成部分。虽然MOOC在人工智能的引领下,可以在相当广的范围内超越原有的人类教育效能,但是它永远无法替代传统的对应式的师徒效应,而翻转课堂式的SPOC教学模型则可以弥补MOOC自身的不足。对应于加涅的九步教学法,可以将MOOC流程设计为课前引入、课程内容展示和课后训练等三个教学环节;同时,根据加涅九步教学法的第九步,SPOC可在合作学习、课堂讨论中得以展开。Big Data is impacting the traditional classroom teaching in the information age to carry on the deep reform.Digital education represented by MOOCs has become an important part of higher education in the new era.Under the guidance of artificial intelligence,MOOCs can surpass the original efficiency of human education in a wide range,but they can never replace the traditional one-to-one teacher-student effect.Flipped classroom SPOC teaching model has certain educational advantages to make up for the deficiencies of MOOCs.Corresponding to Gagne's Nine-step Teaching Method,MOOCs can be designed as three teaching links:pre-class introduction,course content display and after-class training.As with Gagne's Nine-step Method,SPOC can be used for classroom discussions,collaborative learning,and games.

关 键 词：大数据 教学管理 深度学习 教学设计 

分 类 号：G424[文化科学—课程与教学论]