基于大数据和协同过滤技术的个性化教学平台的研究应用  

Research and Application of Personalized Teaching Platform Based on Big Data and Collaborative Filtering Technology

作　　者：高传友[1] 林容容[1] Chuanyou Gao;Rongrong Lin(Guangxi Vocational and Technical College)

机构地区：[1]广西职业技术学院

出　　处：《教育研究前沿（中英文版）》2024年第1期29-33,共5页Education Research Frontier

基　　金：广西高校中青年教师科研基础能力提升项目“基于大数据和协同过滤技术的个性化教学平台的研究应用”(项目编号:2020KF29014);中华农业科教基金课程教材建设研究项目:《旅游茶园设计与管理》课程思政金教材的开发与研究(项目编号:NKJ202101012)。

摘　　要：协同过滤技术属于推荐算法,能够实现对不同用户资源的个性化推荐。我国在推进教学改革过程中,强调教学资源共享和个性化推荐,实现教学平台打造。本文将大数据技术、协同过滤技术,应用到个性化教学平台建设中,阐述系统基本功能、架构,使用个性推荐算法,实现个性化资源的推广和应用。该平台既可实现资源的共享,又能展示个性化资源,以满足实践教学的基本需求,改善教学资源不平衡的情况。研究结果表明,该平台功能强大、性能良好,可基于用户推荐不同资源,辅助开展个性化教学活动。Collaborative filtering technology belongs to the recommendation algorithm,which can realize the personalized recommendation of different user resources.In the process of promoting teaching reform in China,it emphasizes the sharing of teaching resources and personalized recommendation,so as to realize the building of teaching platform.In this paper,big data technology and collaborative filtering technology are applied to the construction of personalized teaching platform,which expounds the basic functions and architecture of the system,and uses the personalized recommendation algorithm to realize the promotion and application of personalized resources.The platform can not only realize the sharing of resources,but also display personalized resources to meet the basic needs of practical teaching and improve the imbalance of teaching resources.The results show that the platform is powerful and effective,and can assist in personalized teaching activities based on the recommendation of different resources by the users.

关 键 词：协同过滤技术 个性化教学 系统框架 资源共享 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]