数据驱动的深度学习教学模式构建与实施  

Construction and Implementation of Data Driven Deep Learning Teaching Mode

作　　者：朱晓敬[1] 袁满[1] 赵娅[1] 杨冬黎[1] 卢仲 ZHU Xiaojing;YUAN Man;ZHAO Ya;YANG Dongli;LU Zhong(School of Computer and Information Technology,Northeast Petroleum University,Daqing 163318,China)

机构地区：[1]东北石油大学计算机与信息技术学院,黑龙江大庆163318

出　　处：《微型电脑应用》2021年第8期14-17,共4页Microcomputer Applications

基　　金：黑龙江省哲学社会科学2020年度规划课题(20EDC197);东北石油大学引导性创新基金项目(2020YDL-12)。

摘　　要：后疫情时期,高校教学形式进入线上+线下融合的时代,融合时代如何促进学习者深度学习发生值得深度研究。分析了线上+线下融合教学环境中深度学习发生的必要性,探讨了教育大数据在促进融合环境中学习者深度学习发展的优势,构建数据驱动的深度学习教学模式,以“传播学”课程为例叙述了该模式的教学实践过程,并对该模式的实践效果进行了说明。In the post epidemic period,the teaching form of colleges entered the era of online+offline integration.How to promote the occurrence of deep learning in the era of integration was worthy of in-depth research.This paper analyzes the necessity of deep learning in the online+offline integrated teaching environment,discusses the advantages of educational big data in promoting the occurrence of deep learning of learners in the integrated environment,constructs a data-driven deep learning teaching mode,and describes the teaching practice process of this mode by taking"Communication"course as an example,and illustrates the practical effect of the mode.

关 键 词：数据驱动 深度学习 教学模式 

分 类 号：G434[文化科学—教育学]