摘要
当今日趋数字化的新形势下,高校党建工作品牌化建设面临新机遇新挑战。基于对甘肃政法大学党建工作现状和2021年开展“三会一课”数据进行分析。通过利用机器学习等人工智能手段,挖掘隐藏在大数据下的高校党建工作品牌化建设的基本内涵和评价机制。利用数据可视化等辅助手段,创建甘肃数字化红色资源库,使多媒体与高校党建工作有效衔接。利用党员大数据,构建学生“用户画像”,引导学生进行个性化教育并建立自适应学习模式。以期为甘肃政法大学党建工作品牌创建和高质量复合型人才培养提供建设性意见和建议。
Under the new situation of digitalization,the branding construction of university party building work faces new opportunities and challenges.The research is based on the analysis of the current situation of party building work in Gansu University of Political Science and Law and the data of"three meetings and one class"in 2021.Through the use of machine learning and other artificial intelligence means,the basic connotation and evaluation mechanism of the branding construction of university party building work hidden under the big data are explored.Using data visualization and other auxiliary means to create Gansu digital red resource library,multimedia and university party construction work effectively connected.The big data are used for party members and constructing"user portrait"of students to guide students to personalized education and establishing adaptive learning mode,with the aim to provide constructive advice and suggestions for the creation of party building work brand and high-quality composite talent training in Gansu University of Political Science and Law.
作者
杨玉仁
YANG Yu-ren(College of Marxism,Gansu University of Political Science and Law,Lanzhou 730070,China)
出处
《兰州石化职业技术学院学报》
2022年第3期75-80,共6页
Journal of Lanzhou Petrochemical Polytechnic
基金
甘肃省教育科学规划“党的二十大精神阐释”专题研究项目(GS[2023]GHB0005)
甘肃省教育厅高等学校创新基金项目(2022B-146)
甘肃政法大学校级教学改革研究项目(GZJG2022-B13)
甘肃省高校党的建设研究项目(2021GSJYDJKTZC16)。
关键词
大数据
高校
党建工作
品牌化
人才培养
big data
university
party building work
branding
talent cultivation