Construction of career planning and employment guidance system for college students

职业生涯规划 医学教育 认知信息处理 心理学 工程管理 职业发展 数学教育 教育学 工程类 医学
作者
Juan Chen
出处
期刊:Applied mathematics and nonlinear sciences [De Gruyter]
卷期号:9 (1) 被引量:1
标识
DOI:10.2478/amns-2024-2330
摘要

Abstract The construction of college students’ career planning and employment guidance system is an important part of the current university talent cultivation system, and the importance of career planning is becoming more and more prominent under the current severe employment situation. This paper firstly constructs the Executive regression model and LDA algorithm to deal with the content and basic data of the questionnaire survey of 600 students from 10 provinces and 30 schools, uses regression to analyze the cognition and form of college students’ career planning and the factors that have an impact on their view of choosing a career, constructs the college students’ employment guidance system at the same time, and puts forward the suggestions on the contemporary college students’ career choice and employment. The results of the study show that professional knowledge and skills, a strong sense of responsibility, optimism and cheerfulness, and good social skills are the main advantages of students. Only 47% of college students have clear career goals, while 21% have no career goals. When choosing a career, the decisive influence factor is “environment,” which accounts for 51.63%, followed by personal preferences, which account for 45.7%. After graduation, 63.72% of college students chose employment, while 17.14% and 10.34% chose to start their own business and go to graduate school, respectively. It can be seen that in order to improve the feasibility and effectiveness of college students’ career planning, colleges, and universities should strengthen the education of college students’ awareness of career planning, establish a sound career planning management and service system, and maximize college students’ employment competitiveness.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
jue完成签到 ,获得积分10
刚刚
肥肥发布了新的文献求助10
1秒前
努力生活的小柴完成签到,获得积分10
1秒前
2秒前
抗体药物偶联完成签到,获得积分10
3秒前
红岩完成签到 ,获得积分10
3秒前
852应助小鲤鱼采纳,获得10
3秒前
3秒前
大胆念柏发布了新的文献求助10
4秒前
4秒前
在水一方应助科研通管家采纳,获得10
5秒前
Radicaldev完成签到,获得积分10
5秒前
5秒前
科研通AI2S应助科研通管家采纳,获得10
5秒前
5秒前
英俊的铭应助科研通管家采纳,获得10
5秒前
5秒前
5秒前
小马甲应助科研通管家采纳,获得10
5秒前
5秒前
5秒前
顾矜应助科研通管家采纳,获得10
5秒前
5秒前
CodeCraft应助科研通管家采纳,获得10
5秒前
酷波er应助科研通管家采纳,获得10
6秒前
niNe3YUE应助科研通管家采纳,获得10
6秒前
无花果应助科研通管家采纳,获得10
6秒前
6秒前
思源应助ttc采纳,获得10
7秒前
可可完成签到 ,获得积分10
7秒前
SSSSSSSSSS发布了新的文献求助10
8秒前
8秒前
直率曼荷完成签到,获得积分10
8秒前
9秒前
山河入梦来完成签到,获得积分20
10秒前
充电宝应助mictime采纳,获得10
10秒前
11秒前
11秒前
小小鱼完成签到 ,获得积分10
11秒前
hiswen完成签到,获得积分10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 2000
Digital Twins of Advanced Materials Processing 2000
Social Cognition: Understanding People and Events 1200
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6036670
求助须知:如何正确求助?哪些是违规求助? 7755903
关于积分的说明 16215578
捐赠科研通 5182774
什么是DOI,文献DOI怎么找? 2773650
邀请新用户注册赠送积分活动 1756912
关于科研通互助平台的介绍 1641276