摘要
基于校园行为数据分析学生就业与校园行为之间的关联性是大数据背景下高校就业管理与指导工作的重点。文章以高校本科学生为研究对象,对学生基本信息和校园行为数据进行特征提取和学生标签体系的构建,通过关联规则挖掘学生就业与校园行为之间的关联,探析不同毕业去向学生的行为特征。研究发现:国内读研类学生有4种典型学生群体画像,出国出境类大学生有3种典型学生群体画像,直接就业类大学生有4种典型学生群体画像,不同的学生群体在行为规律性、消费水平和学业水平等方面存在显著区别。文章建议:提供大学生职业生涯规划指导,加强对学生心理状况的关注,开展同学结对帮扶活动。
Analyzing the correlation between student employment and campus behavior based on campus behavior data is a key issue of employment management and guidance in universities amid the backdrop of big data.Taking undergraduate students as the object of study,this paper extracts the behavioral characteristics on the basis of student profiles and campus behavior data,and creates a student profile system.By exploring the correlation between the employment of university graduates and campus behavior data according to association rules,it analyzes the behavior characteristics of students with different graduation destinations.The results show that there are four typical group profiles for students who will continue their postgrad education in domestic,three for those going abroad,and four for graduates moving directly into employment.There are distinct differences among different student groups in behavior regularity,consumption level and academic level.This study proposes three corresponding ways to improve the management of college student,i.e.,focusing on the guidance of career planning,increasing awareness of student psychology,and pair-up assistance among students.
作者
杨孟辉
任超
谢宝玲
何占西
张彩荣
YANG Menghui;REN Chao;XIE Baoling;HE Zhanxi;ZHANG Cairong
出处
《图书馆论坛》
北大核心
2024年第1期62-70,共9页
Library Tribune
基金
国家社科基金重点项目“新时期产业技术情报分析方法体系研究”(项目编号:21ATQ008)研究成果。
关键词
学生就业画像
校园行为
关联规则
特征工程
student employment profile
campus behavior
association rules
characteristic engineering