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作 者:唐型基[1] 杨光临[1] TANG Xingji;YANG Guanglin(Kaili University,Kaili Guizhou 556011,China)
机构地区:[1]凯里学院,贵州凯里556011
出 处:《信息与电脑》2022年第20期237-239,共3页Information & Computer
基 金:凯里学院线下一流课程“Java程序设计”(项目编号:xx202009)。
摘 要:为提高推荐资源与用户需求资源之间的适配度,引进数据驱动技术,以java程序设计课程为例,设计教学资源推荐系统。该系统由用户层、业务层与数据层构成。首先,通过计算机自带的数据库创建界面,按照数据的标准化格式录入信息,建立教学资源库。其次,引进数据驱动技术,将关联数据、面向对象项目驱动与推荐机制引入学术资源的检索程序。最后,划分资源库中不同学习资源的类别,实现主动推荐资源。以某地区大型试点院校为例,设计对比实验。经实验验证,开发的推荐系统在实际应用中效果良好。In order to improve the compatibility between recommended resources and user demand resources, data-driven technology is introduced to design a teaching resource recommendation system, taking Java programming course as an example. The system consists of user layer, business layer and data layer. Open the database creation interface of the computer, input the information according to the standardized format of the data, establish the teaching resource library;The data driven technology is introduced, and the associated data,object oriented project driven and recommendation mechanism are introduced into the retrieval program of academic resources, and the different learning resources in the resource library are divided into categories, so as to realize the active recommendation of resources. Taking a large pilot college in a region as an example, the design and comparison experiment show that the recommendation system developed is effective in practical application.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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