Author
Listed:
- Zulfiya Arynova
- Saida Kaidarova
- Dana Bekniyazova
- Svetlana Zolotareva
- Valentina Shelomentseva
Abstract
Kazakhstan’s rapid digital transformation has intensified the demand for digital skills, yet the country’s education system continues to lag behind evolving labor market requirements, resulting in persistent vertical and horizontal mismatches. This study addresses the gap by developing a conceptual model to evaluate the alignment between educational outputs and employer needs across qualification levels, fields of study, and digital competencies. The model draws on national education supply data, labor demand trends, and feedback mechanisms, including public–private partnerships and lifelong learning initiatives. Its application reveals substantial skill mismatches in both technical and non-technical disciplines, with particularly acute gaps in ICT-related and hybrid digital roles, as well as marked regional disparities. The findings suggest that incorporating employer feedback and promoting curriculum adaptability are critical to reducing these mismatches. The study concludes that strategic reforms such as embedding digital competencies into formal education, strengthening multi-stakeholder collaboration, and tailoring educational approaches to regional labor market dynamics are essential for closing the skills gap. This research offers a practical framework for diagnosing systemic misalignment and supports evidence-based policymaking aimed at developing a workforce prepared for the demands of a digital economy.
Suggested Citation
Zulfiya Arynova & Saida Kaidarova & Dana Bekniyazova & Svetlana Zolotareva & Valentina Shelomentseva, 2025.
"Labor market–education system discrepancies in Kazakhstan’s digital ERA: Challenges and modeling solutions,"
International Journal of Innovative Research and Scientific Studies, Innovative Research Publishing, vol. 8(6), pages 1513-1523.
Handle:
RePEc:aac:ijirss:v:8:y:2025:i:6:p:1513-1523:id:9954
Download full text from publisher
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:aac:ijirss:v:8:y:2025:i:6:p:1513-1523:id:9954. 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: Natalie Jean (email available below). General contact details of provider: https://ijirss.com/index.php/ijirss/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.