基于学习推荐策略的众智型线上、线下混合式教学研究  

Research on Crowd-Intelligent Online and Offline Blended Teaching Based on Learning Recommendation Strategy

作　　者：彭云[1] 万红新 PENG Yun;WAN Hongxin(School of Computer and Information Engineering,Jiangxi Normal University,Nanchang Jiangxi 330022,China;School of Mathematics and Computer Science,Jiangxi Normal University of Science and Technology,Nanchang Jiangxi 330038,China)

机构地区：[1]江西师范大学计算机信息工程学院,江西南昌330022 [2]江西科技师范大学数学与计算机科学学院,江西南昌330038

出　　处：《信息与电脑》2022年第9期242-244,共3页Information & Computer

基　　金：江西省高等学校教学改革研究课题(项目编号:JXJG-20-2-39,JXJG-20-10-8);江西省基础教育研究课题(项目编号:SZUJKZH2021-1133);江西科技师范大学教学改革研究课题(项目编号:XJJG-20-61-15);江西科技师范大学研究生教育教学改革研究课题(项目编号:KSDYJG-2021-09)。

摘　　要：互联网具有的海量教学资源是开展线上、线下混合式教学的有利因素之一。如何有效利用这些教学资源服务于课程教学提升线上、线下混合式教学效果,成为了学校亟需解决的问题。本文提出了基于学习推荐策略的教学资源获取方案,利用协同过滤等方法提取更有价值的教学资源,同时鼓励学生参与教学资源的挖掘,形成教师和学生之间资源共享、课程共建的新型教学关系。The huge amount of teaching resources on the Internet is one of the favorable factors for carrying out online and offline hybrid teaching.How to make effective use of these teaching resources to serve curriculum teaching and improve the effect of online and offline mixed teaching has become an urgent problem to be solved by the school.This paper proposes a teaching resource acquisition scheme based on learning recommendation strategy,which uses collaborative filtering and other methods to extract more valuable teaching resources,and encourages students to participate in the mining of teaching resources,so as to form a new teaching relationship of resource sharing and curriculum co construction between teachers and students.

关 键 词：学习推荐 协同过滤 资源共享 课程共建 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]