AI-Enhanced Closed-Loop Reform in Computer Network Engineering Education

Deling Huang; Jun Liu; Zhulin Ma; Ailin Li

doi:10.2991/978-2-38476-628-4_26

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AI-Enhanced Closed-Loop Reform in Computer Network Engineering Education

Authors

Deling Huang¹^{, *}, Jun Liu¹, Zhulin Ma¹, Ailin Li¹

¹School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

^*Corresponding author. Email: huangdl@cqupt.edu.cn

Corresponding Author

Deling Huang

Available Online 30 October 2026.

DOI: 10.2991/978-2-38476-628-4_26 How to use a DOI?
Keywords: project-driven learning; computer network engineering; PERMA model; multidimensional evaluation; engineering education
Abstract: Engineering education in computer networking often leaves a gap between textbook protocol knowledge and hands-on engineering practice, and conventional course evaluation tracks only academic performance. This paper reports a two-cycle closed-loop teaching reform for an undergraduate Computer Network course at CQUPT that combines a flipped classroom, a project-driven framework built on a five-layer TCP/IP-stack project ladder (L1–L5, L5 deployed in Cycle 2), and a PERMA-based well-being evaluation alongside OBE-aligned academic indicators. A class of 105 students was split into two parallel classes (experimental n = 52; control n = 53), each with a dedicated instructor and TA. A PDCA loop drives next-cycle design. We describe the reform, the ladder, the OBE-aligned indicator system, the PERMA instrument, two cycles of quasi-experimental evaluation, and the PDCA mechanism. LMS-embedded AI-assisted analytics (adaptive quiz release, static-analysis hints, engagement signals) supplement the three components without overriding instructor judgement. The contribution is a concrete, replicable closed-loop model for combining flipped pedagogy, project-driven learning, well-being evaluation, and continuous improvement in an engineering course.
Copyright: © 2026 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 2026 2nd International Conference on Education Research and Training Technologies (ERTT 2026)
Series: Advances in Social Science, Education and Humanities Research
Publication Date: 30 October 2026
ISBN: 978-2-38476-628-4
ISSN: 2352-5398
DOI: 10.2991/978-2-38476-628-4_26 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Deling Huang
AU  - Jun Liu
AU  - Zhulin Ma
AU  - Ailin Li
PY  - 2026
DA  - 2026/10/30
TI  - AI-Enhanced Closed-Loop Reform in Computer Network Engineering Education
BT  - Proceedings of the 2026 2nd International Conference on Education Research and Training Technologies (ERTT 2026)
PB  - Atlantis Press
SP  - 236
EP  - 246
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-628-4_26
DO  - 10.2991/978-2-38476-628-4_26
ID  - Huang2026
ER  -

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