Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025)

<Previous Article In Volume
Next Article In Volume>

Research and Practice on Data-Intelligence-Driven Quality Evaluation of Talent Cultivation in IoT Engineering Major

Authors
Xuanjiang Dong1, *
1Qingdao HuangHai University, Qingdao, 266530, China
*Corresponding author. Email: dongxj01@qdhhc.edu.cn
Corresponding Author
Xuanjiang Dong
Available Online 31 July 2025.
DOI
10.2991/978-94-6463-803-5_79How to use a DOI?
Keywords
Digital technique; Educational evaluation; Quality evaluation
Abstract

With the advancement of artificial intelligence technologies, the application of digital intelligence technologies in educational evaluation has become increasingly prominent. In the study of talent development quality evaluation within the IoT Engineering discipline, it is imperative to consider the positive role of digital intelligence technologies. This research employs data analytics tools from big data technology to systematically analyze student developmental process data through methodologies including data mining, machine learning, and other analytical approaches. An intelligent evaluation information management system has been established to create a digitally-enabled assessment environment. The implementation has demonstrated promising outcomes, providing a replicable model for enhancing discipline-specific educational evaluation through digital intelligence empowerment.

Copyright
© 2025 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
31 July 2025
ISBN
978-94-6463-803-5
ISSN
2667-128X
DOI
10.2991/978-94-6463-803-5_79How to use a DOI?
Copyright
© 2025 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  - Xuanjiang Dong
PY  - 2025
DA  - 2025/07/31
TI  - Research and Practice on Data-Intelligence-Driven Quality Evaluation of Talent Cultivation in IoT Engineering Major
BT  - Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025)
PB  - Atlantis Press
SP  - 812
EP  - 817
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-803-5_79
DO  - 10.2991/978-94-6463-803-5_79
ID  - Dong2025
ER  -