“大学计算机基础”课程中思政教学资源智能推荐方法  

Intelligent Recommendation Method of Ideological and Political Teaching Resources in College Computer Foundation

作　　者：杨丽华 YANG Lihua(Computer School of Hulunbuir University,Hulun Buir Inner Mongolia 021000,China)

机构地区：[1]呼伦贝尔学院计算机学院,内蒙古呼伦贝尔021000

出　　处：《信息与电脑》2022年第24期251-253,共3页Information & Computer

基　　金：内蒙古自治区2021年度哲学社会科学研究课程思政建设专项“《大学计算机基础》课程多元化立体思政体系建设与研究”(项目编号:ZSZX21286);内蒙古自治区教育科学“十四五”规划2021年度课题“地方应用型高校大学计算机基础一流课程建设与研究”(项目编号:NGJGH2021403);呼伦贝尔学院国家基金培育项目“新工科背景下基于OBE理念的校企合作专业应用型人才培养模式的研究”(项目编号:2020SKPY04)。

摘　　要：为提升“大学计算机基础”课程中思政教学资源推荐效果,提出了一种“大学计算机基础”课程中思政教学资源智能推荐方法。首先,构建“大学计算机基础”课程学习者模型,确定学习者学习偏好。其次,计算学习者属性与教学资源主题相似度,得到目标资源推荐数据集。最后,细化思政教学资源类别,设计思政教学资源智能推荐算法,完成思政教学资源的智能推荐。实验结果表明,此方法可保证教学资源推荐准确性,最高可达到98.83%,具有一定应用价值。In order to improve the effect of ideological and political teaching resources recommendation in the course of College Computer Foundation, this paper proposes an intelligent recommendation method for ideological and political teaching resources in the course of College Computer Foundation. Firstly, the learner model of College Computer Foundation course is constructed to determine learners’ learning preferences. Then calculate the similarity between learner attributes and the theme of teaching resources, and obtain the recommended data set of target resources. Then refine the categories of ideological and political teaching resources, design the intelligent recommendation algorithm of ideological and political teaching resources, and complete the intelligent recommendation of ideological and political teaching resources. The experimental results show that this method can ensure the accuracy of teaching resources recommendation,which can reach 98.83% at most, and has certain application value.

关 键 词：思政教育 高校基础课程 教学资源整合 学习偏好 资源推荐 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]