Research on Personalized Learning Paths in the Context of Educational Digital Transformation

Jie Zhang

doi:10.70393/6a6574.323536

OPEN ACCESS |Research Article ||27 September 2024

Research on Personalized Learning Paths in the Context of Educational Digital Transformation

Jie Zhang

Liuzhou Zhongxing Education Company

nwbcia@sina.com

Liuzhou Zhongxing Education Company, China.

* Corresponding Author¹: Jie Zhang, E-Mail: nwbcia@sina.com

Publication

Accepted 2024 August 2 ; Published 2024 September 27

Journal of Educational Theory, 2024, 1(1_Spec), 3079-5931.

Abstract

With the rapid development of information technology, the digital transformation of education has become a significant trend in the field of education. Personalized learning, as a key approach to meeting the diverse needs of students and enhancing the quality of education, presents new opportunities and challenges in the context of digital transformation. This paper delves into the theories and practices related to personalized learning paths in the digital transformation of education, analyzes the existing problems, and proposes targeted strategies, aiming to provide a reference for the effective implementation of personalized learning in the process of educational digitalization.

Keywords

Educational Digital Transformation , Personalized Learning , Information Technology .

Metadata

DOI:

10.70393/6a6574.323536

ARK:

ark:/40704/JET.v1n1spec01

Pages: 1-5

References: 8

Disciplines: Technology and Education

Subjects: Educational Technology

Cite This Article

APA Style

Zhang, J. (2024). Research on personalized learning paths in the context of educational digital transformation. Journal of Educational Theory, 1(1_Spec), 1-5. https://doi.org/10.70393/6a6574.323536

Acknowledgments

The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions.

FUNDING

Not applicable.

INSTITUTIONAL REVIEW BOARD STATEMENT

Not applicable.

DATA AVAILABILITY STATEMENT

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

INFORMED CONSENT STATEMENT

Not applicable.

CONFLICT OF INTEREST

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

AUTHOR CONTRIBUTIONS

Not applicable.

References

1.

Chuang, Y. K. H. . (2010). A heuristic algorithm for planning personalized learning paths for context-aware ubiquitous learning. Computers & Education.

2.

Yang, J. , Liu, H. , & Huang, Z. . (2010). Smap: To Generate the Personalized Learning Paths for Different Learning Style Learners. International Conference on Entertainment for Education Digital Techniques & Systems. Springer, Berlin, Heidelberg.

3.

Cai, L. W. . (2024). Sustainable personalized e-learning through integrated cross-course learning path planning. Sustainability, 16.

4.

Yin, P. Y. , Chuang, K. H. , & Hwang, G. J. . (2016). Developing a context-aware ubiquitous learning system based on a hyper-heuristic approach by taking real-world constraints into account. Universal Access in the Information Society, 15(3), 315-328.

5.

Huang, S. L. , & Yang, C. W. . (2009). Designing a semantic bliki system to support different types of knowledge and adaptive learning. Computers & Education, 53(3), 701-712.

6.

Srisawat, S. , Wannapiroon, P. , & Nilsook, P. . (2024). Distributed digital enterprise architecture for transformation of educational organizations. TEM Journal, 13(2).

7.

Abramova, Dianida G. (2020). Digital transformation of additional professional education: features of the lk-14 educational platform. Journal of Educational Psychology - Propositos y Representaciones, 8.

8.

Kovaliuk, T. , & Kobets, N. . (2021). The concept of an educational ecosystem for the digital transformation of the ukrainian economy. IEEE.

PUBLISHER'S NOTE

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Copyright © 2025 The Author(s). Published by Southern United Academy of Sciences.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Table of Content