Economic Annals-XXI: Volume 209, Issue (5-6), Pages: 4-14

Citation information:
Abueva, N., Wu, Y., Buzelo, A., Zhussupova, A., & Omar, A. (2024). Educational trajectories of students in the digital information space: challenges and prospects on the example of Kazakhstan and China. Economic Annals-XXI, 209(5-6), 4-14. doi: https://doi.org/10.21003/ea.V209-01


Nurbanu Abueva
D.Sc. (Political Sciences),
Professor,
Visiting Professor, Institute of European Languages,
Zhejiang Yuexiu University
No. 428 Kuaiji Road, Yuecheng District, Shaoxing, Zhejiang Province, 312000, China;
Professor,
the Graduate School of Media and Intercultural Communication,
Turan University
16 Satpayev Street, Almaty, 050013, Republic of Kazakhstan
abu2007@bk.ru;
n.abueva@turan-edu.kz
ORCID ID: https://orcid.org/0000-0002-7550-9261
Web of Science Researcher ID: HTT-0659-2023

Wu Yanqiu
PhD (Historical Sciences),
Associate Professor,
Institute of European Languages,
Zhejiang Yuexiu University
No. 428 Kuaiji Road, Yuecheng District, Shaoxing, Zhejiang Province, 312000, China
254319172@qq.com
ORCID ID: https://orcid.org/0000-0001-7457-1867
Web of Science Researcher ID: ABC-8258-2020
Scopus Author ID: 10140463900

Anna Buzelo
PhD (Philology),
Professor,
Director, the Graduate School of Media and Intercultural Communication,
Turan University
16 Satpayev Street, Almaty, 050013, Republic of Kazakhstan
buzelo70@mail.ru;
a.buzelo@turan-edu.kz
ORCID ID: https://orcid.org/0000-0001-5457-1237

Aliya Zhussupova
PhD (Economics),
Associate Professor
of the Art Management Department,
Kurmangazy Kazakh National Conservatory
86 Abylai Khan Ave., Almaty, 050000, Republic of Kazakhstan
a-zhussupova@mail.ru
ORCID ID: https://orcid.org/0000-0001-9530-918X

Asel Omar
PhD (Philosophy),
Research Professor
of the Graduate School of Media and Intercultural Communication,
Turan University
16 Satpayev Str., Almaty, 050013, Republic of Kazakhstan
rusunivers@gmail.com;
a.omar@turan-edu.kz
ORCID ID: https://orcid.org/0009-0006-2205-4175

Educational trajectories of students in the digital information space: challenges and prospects on the example of Kazakhstan and China

Abstract. The rapid advancement of digital technologies has profoundly transformed higher education, presenting both opportunities and challenges for shaping students’ educational trajectories. This study investigates the impact of the digital information space on personalized learning pathways in Kazakhstan and China from 2010 to 2023.

A mixed-methods approach was employed, analyzing data from multiple sources including learning analytics, student surveys, financial records, and labor market statistics. The comprehensive methodology enabled examination of both quantitative and qualitative aspects of technology integration in education.

The findings reveal that technology-enhanced education can optimize educational trajectories through improved accessibility, affordability, and effectiveness. However, significant challenges persist related to the digital divide, data privacy concerns, quality assurance issues, and alignment with labor market demands.

Based on the findings, we propose a comprehensive framework for leveraging digital information space to create inclusive, sustainable, and economically viable personalized learning solutions. The framework emphasizes stakeholder collaboration, evidence-based decision-making, and development of key performance indicators.

The study contributes to educational technology research by providing a comprehensive analysis of how digital information spaces influence educational trajectories across two distinct educational systems, introducing novel metrics for assessing technology integration effectiveness.

The research offers actionable recommendations for educators, policymakers, and EdTech developers. The findings highlight the need for further research on long-term economic returns of technology-enhanced educational trajectories and development of ethical standards for digital technology use in education.

Keywords: Digital Information Space; Educational Trajectories; Personalized Learning; Economic Implications; Higher Education

JEL Classіfіcatіon: I23; I28; O33; L86; M15; D83; I21

Acknowledgements and Funding: The authors received no direct funding for this research.

Contribution: The authors contributed equally to this work.

Data Availability Statement: The dataset is available from the authors upon request.

DOI: https://doi.org/10.21003/ea.V209-01

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Received 26.01.2024
Received in revised form 20.02.2024
Accepted 10.03.2024
Available online 29.06.2024