IDEAS home Printed from https://ideas.repec.org/a/igg/jcini0/v19y2025i1p1-21.html
   My bibliography  Save this article

Artificial Intelligence Technology and Ideological Political Education: Navigating Employment Challenges and Opportunities for College Graduates

Author

Listed:
  • Yanjia Yang

    (Guangdong Polytechnic Normal University, China)

  • Qiong Li

    (Guizhou Medical University, China)

Abstract

This article focuses on the impact of artificial intelligence (AI) on college graduate employment. By collecting and analyzing student employment data, this study examined how artificial intelligence affected college students' job prospects—based on this data, the article offers effective strategies regarding employment guidance. The research methodology included data collection regarding students' academic performance, family economic situations, and employment preferences. The research study utilized the application of educational data mining techniques and machine learning algorithms, such as clustering and logistic regression. Results of this study showed that AI replaced certain types of jobs and created other, new employment opportunities for college graduates—and that students exhibited significant variations in their employment preferences (e.g., in terms of preferred job locations, industries, and roles) and academic performance, which in turn influenced their employment outcomes.college students in adjusting to the employment landscape as it has been shaped by AI.

Suggested Citation

  • Yanjia Yang & Qiong Li, 2025. "Artificial Intelligence Technology and Ideological Political Education: Navigating Employment Challenges and Opportunities for College Graduates," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global Scientific Publishing, vol. 19(1), pages 1-21, January.
  • Handle: RePEc:igg:jcini0:v:19:y:2025:i:1:p:1-21
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJCINI.385726
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jcini0:v:19:y:2025:i:1:p:1-21. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.