基于用户画像的大学生群体综合特征分析方法  

An Analysis Method of College Students'Group Comprehensive Features Based on User Portraits

作　　者：陈志伟 李畅畅 许博涛 林仕良 谢夏 黄小欧[3] 倪晗 CHEN Zhiwei;LI Changchang;XU Botao;LIN Shiliang;XIE Xia;HUANG Xiaoou;NI Han(School of Computer Science and Technology,Hainan University,Haikou 570100,China;Military Representative Office of the Army Armaments Department in Haikou;Chengfeng College,Hainan University,Haikou 570100,China)

机构地区：[1]海南大学计算机科学与技术学院,海南海口570100 [2]陆军装备部驻海口地区军事代表室 [3]海南大学乘风书院,海南海口570100

出　　处：《软件导刊》2024年第11期74-83,共10页Software Guide

基　　金：海南省高等学校教育教学改革研究资助项目(Hnjg2022ZD-5);海南大学校级课程思政教育研究专项(hdsz2302)。

摘　　要：精准化育人是当前“以人为本”教育理念下高校育人管理工作的应然取向。用户画像技术作为一种能够精准分析用户特征、描绘用户行为的技术手段,可以很好地应用于大学生群体特征分析,推动教育个性化和信息化。针对目前大学生群体综合特征分析方法效率低下、结果真实性差的问题,提出一种基于用户画像技术的大学生群体综合特征画像标签体系与构建框架,旨在准确分析大学生群体的综合特征。通过爬取相关信息平台、发放问卷调查、联系高校相关部门等方式获取可公开数据展开实验分析,采用K-means算法聚类分析得到5类大学生群体,分别为全面型、学霸型、大众型、兴趣型和低迷型。实验结果表明,该画像标签体系与构建框架能有效反映大学生群体的综合特征,为高校个性化和精准化教育管理提供支持,同时也有助于促进大学生的自我认知与管理。Precision education is the natural orientation of university education management under the current"people-oriented"education concept.User profiling technology,as a means of accurately analyzing user characteristics and depicting user behavior,can be well applied to the analysis of characteristics of college students,promoting personalized and information-based education.Aiming at the problem of low effi⁃ciency and poor authenticity of the current comprehensive feature analysis methods for college students,a label system and construction frame⁃work for the comprehensive feature portrait of college students based on user portrait technology are proposed,aiming to accurately analyze the comprehensive characteristics of college students.By crawling relevant information platforms,distributing questionnaire surveys,and contact⁃ing relevant departments of universities,publicly available data was obtained for experimental analysis.K-means algorithm clustering analysis was used to identify five groups of college students,namely comprehensive,academic overachiever,popular,interest oriented,and de⁃pressed.The experimental results show that the portrait label system and construction framework can effectively reflect the comprehensive char⁃acteristics of college students,provide support for personalized and precise education management in universities,and also help promote col⁃lege students'self-awareness and management.

关 键 词：用户画像 大学生 群体特征 精准化育人 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]