Application of deep learning in career planning and entrepreneurship of college students

被引:1
作者
Zhang, Ning [1 ]
Wu, Chunyan [2 ]
机构
[1] Hebei Univ Water Resources & Elect Engn, Dept Elect Automat, Cangzhou, Peoples R China
[2] Hebei Univ Water Resources & Elect Engn, Marxist Coll, Cangzhou, Peoples R China
关键词
Deep learning; career planning; college student entrepreneurship;
D O I
10.3233/JCM-247531
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the continuous development of deep learning and artificial intelligence, its application potential in the field of education has attracted wide attention. This study mainly discusses the application of deep learning in college students' career planning and entrepreneurship. First, through a comprehensive review of existing literature, the gaps and challenges of current research are revealed. Subsequently, empirical research methods were used to collect data on college students' attitudes and feelings towards deep learning in career planning and entrepreneurship. This study develops and validates a model that predicts how deep learning interventions affect college students' career choices and entrepreneurial intentions, while also proposing a series of strategic recommendations. The findings suggest that deep learning can be used as an effective tool to help college students better plan their careers and enhance their entrepreneurial abilities. This study not only provides a new perspective for theoretical research, but also provides useful insights and tools for practitioners.
引用
收藏
页码:2927 / 2942
页数:16
相关论文
共 16 条
  • [1] The mediating role of self-regulation planning and motivation to learn in the relationship between protean career orientation and career behaviors
    Bazine, Nicolas
    Lagabrielle, Christine
    Revranche, Mathieu
    Battistelli, Adalgisa
    [J]. INTERNATIONAL JOURNAL FOR EDUCATIONAL AND VOCATIONAL GUIDANCE, 2023, 25 (1) : 187 - 205
  • [2] RETRACTED: Prediction and Influencing Factors of College Students' Career Planning Based on Big Data Mining (Retracted Article)
    Cai, Lingmei
    Wang, Xin
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [3] The Influence of College Students' Core Self-evaluation on Job Search Outcomes: Chain Mediating Effect of Career Exploration and Career Adaptability
    Chen, Huaruo
    Liu, Fei
    Wen, Ya
    [J]. CURRENT PSYCHOLOGY, 2023, 42 (18) : 15696 - 15707
  • [4] Effect of Deep Learning on College Students' Career Planning
    Gu, Xianhui
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [5] Visualization Research of College Students' Career Planning Paths Integrating Deep Learning and Big Data
    Guo, Jing
    Qi, Lei
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [6] Intelligent career planning via stochastic subsampling reinforcement learning
    Guo, Pengzhan
    Xiao, Keli
    Ye, Zeyang
    Zhu, Hengshu
    Zhu, Wei
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)
  • [7] Mediating Model of College Students' Proactive Personality and Career Adaptability
    Hu, Xiaoyi
    He, Yiqing
    Ma, Danyang
    Zhao, Sihan
    Xiong, Hui
    Wan, Guobin
    [J]. CAREER DEVELOPMENT QUARTERLY, 2021, 69 (03) : 216 - 230
  • [8] Perceptions of experience of online coaching for college students' career planning
    Lee, Song Yi
    Shim, Tae Eun
    Yoo, Young Eun
    [J]. STUDIES IN EDUCATIONAL EVALUATION, 2022, 75
  • [9] Predicting STEM Major and Career Intentions With the Theory of Planned Behavior
    Moore, Raeal
    Burrus, Jeremy
    [J]. CAREER DEVELOPMENT QUARTERLY, 2019, 67 (02) : 139 - 155
  • [10] Advanced forecasting of career choices for college students based on campus big data
    Nie, Min
    Yang, Lei
    Sun, Jun
    Su, Han
    Xia, Hu
    Lian, Defu
    Yan, Kai
    [J]. FRONTIERS OF COMPUTER SCIENCE, 2018, 12 (03) : 494 - 503