摘要
大数据画像技术能够精准地描绘出个体特征,将其应用于课程思政教育,有助于深入挖掘学生个性化需求,进而为高校大学生思想政治教育的精准化供给提供有力支撑。借助大数据画像技术构建学生个人数字画像,并通过具体案例探讨精准化课程思政的实现路径。首先,设计一个基于大数据画像的精准化课程思政框架,该框架涵盖数据采集、画像构建、画像应用三个关键层次。其次,通过采集学生的个人行为数据和在线学习数据,建立画像标签体系,采用数据挖掘和权重计算等方法对标签精确提取,勾画出学生画像,并分析画像所表达的个性化特征,进而提出有针对性的课程思政实施方案。最后,提出三项基于大数据画像的精准化课程思政应用策略:一是通过收集海量数据实现对学生特征的精准刻画;二是借助大数据画像技术精准满足学生的个性化需求;三是利用画像对学生学习情况进行监督,以实现对学习变化的精准把握,从而提升大学生课程思政教育的针对性和实效性。
Big data profiling technology can accurately depict individual characteristics,and its application to ideological and political education in courses can help to deeply explore students’personalized needs,thereby providing strong support for the precise supply of ideological and political education to college students.With the aid of big data portrait technology,a personal digital portrait of students is constructed,and the implementation path of precision course ideological and political education is explored through specific cases.Firstly,a precise curriculum ideological and political framework based on big data profiling is designed,encompassing three key levels:data collection,portrait construction,and portrait application.Secondly,by collecting students’personal behavior data and online learning data,a portrait label system is established.Data mining and weight calculation methods are employed to accurately extract labels,outline student portraits,and analyze the personalized features embodied in the portraits.Based on this,ideological and political implementation plans of targeted curriculum are proposed.Finally,three precise strategies for applying ideological and political education in courses based on big data profiling are proposed:first,collecting massive amounts of data to achieve accurate characterization of student characteristics;second,using big data profiling technology to precisely meet the personalized needs of students;third,utilizing portraits to monitor students’learning situations,in order to achieve an accurate grasp of learning changes,thereby enhancing the relevance and effectiveness of ideological and political education for college students.
作者
牛义锋
叶珺
徐秀珍
Yifeng NIU;Jun YE;Xiuzhen XU(Modern Postal College,Chongqing University of Posts and Telecommunications,Chongqing 400000)
出处
《中国教育信息化》
2024年第11期95-102,共8页
Chinese Journal of ICT in Education
基金
2022年度重庆市高等教育教学改革研究项目“大数据与人工智能背景下精准化课程思政的实现路径研究”(编号:223178)
2022年重庆市教育科学规划重点研究课题“高等教育系统网络安全体系建设策略研究”(编号:K22YD206082)
2022年度重庆邮电大学重点教改课题“‘思政元素’融入专业课的教学设计理念和方法研究”(编号:XJG22122)。
关键词
课程思政
精准思政
大数据画像
个人画像
画像建模
Curriculum ideological and political education
Accurate ideological and political education
Big data portrait
Personal portrait
Portrait modeling
作者简介
牛义锋,重庆邮电大学现代邮政学院教授,博士(重庆400000);叶珺,重庆邮电大学现代邮政学院硕士研究生(重庆400000);徐秀珍,重庆邮电大学现代邮政学院讲师,博士(重庆400000)。
