Proceedings of the 4th International Conference on Internet, Education and Information Technology (IEIT 2024)

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Analyzing Rural Online Education Talent Development with Data and Machine Learning

Authors
Te-Hsin Hsieh1, *, Xueye Lai1
1School of International Business, Xiamen University Tan Kah Kee College, Xiamen, China
*Corresponding author. Email: 195197110@qq.com
Corresponding Author
Te-Hsin Hsieh
Available Online 21 November 2024.
DOI
10.2991/978-94-6463-574-4_47How to use a DOI?
Keywords
Online education; Rural areas; Talent training; Data analysis; Machine learning
Abstract

In the rapidly evolving landscape of information technology, online education has emerged as a vital tool, particularly in rural areas. The “14th Five-Year Plan for Educational Informatization and Cybersecurity Development” projects substantial growth in China's online education sector by 2025. This study investigates the effectiveness of online talent training in rural regions, utilizing data analysis and machine learning techniques to explore its impact on adaptability. Thirteen features including gender, age, education level, and network type were analyzed. Results show online training positively influences adaptability in rural students, with variations in feature impacts. Models like Random Forest and XGBoost excel in predicting adaptability levels. These findings provide valuable insights for talent development in rural areas, supporting local economic growth.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 4th International Conference on Internet, Education and Information Technology (IEIT 2024)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
21 November 2024
ISBN
978-94-6463-574-4
ISSN
2667-128X
DOI
10.2991/978-94-6463-574-4_47How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Te-Hsin Hsieh
AU  - Xueye Lai
PY  - 2024
DA  - 2024/11/21
TI  - Analyzing Rural Online Education Talent Development with Data and Machine Learning
BT  - Proceedings of the 4th International Conference on Internet, Education and Information Technology (IEIT 2024)
PB  - Atlantis Press
SP  - 407
EP  - 413
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-574-4_47
DO  - 10.2991/978-94-6463-574-4_47
ID  - Hsieh2024
ER  -