Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)

AI-Enabled Three-Dimensional Intelligent Integration and Capacity Transition Model: A Generic Teaching Framework for Cybersecurity Courses

Authors
Yi Shen1, Zulie Pan1, Lu Yu1, *, Miao Hu1
1College of Electronic Engineering, National University of Defense Technology, Hefei, 230037, China
*Corresponding author. Email: lulu071227@163.com
Corresponding Author
Lu Yu
Available Online 31 May 2026.
DOI
10.2991/978-94-6239-691-3_63How to use a DOI?
Keywords
Cybersecurity; Teaching Innovation; Capability Transition; Ideological Education; AI Empowerment; Practical Practice Capability
Abstract

As cybersecurity rises to the national strategic level, cultivating innovative and versatile cybersecurity talents with practical capabilities has become an urgent task for higher education. Cybersecurity courses face prominent challenges such as heterogeneous student knowledge structures, the contradiction between high motivation and high cognitive load, “selective participation” in class, and high frustration in practice. This study systematically constructs a teaching innovation system featuring “three-dimensional intelligence integration and capability leapfrogging.” Guided by the value of “five synergies” in ideological and political education in courses, this system achieves a paradigm shift from “knowledge impartation” to “capability construction” and even “practice capability generation” by reconstructing progressive course resources, reforming the integrated teaching method of “learning, research, and practice” (deeply integrating AI dual-assist system and BOPPPS model), and implementing a comprehensive evaluation of “process-oriented, diversified, and capability-oriented.” Teaching practice shows that this model effectively addresses common challenges in traditional teaching, significantly enhancing students’ practical capabilities, innovative thinking, and professional qualities. It has yielded outstanding educational results and gained widespread social recognition, offering a systematic solution for cybersecurity talent cultivation in the new era that features well-supported replicability and scalability—with explicit minimum viable resource requirements defined and good scalability for institutions constrained by limited budgets and a shortage of expert instructors.

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 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
31 May 2026
ISBN
978-94-6239-691-3
ISSN
2667-128X
DOI
10.2991/978-94-6239-691-3_63How to use a DOI?
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.

Cite this article

TY  - CONF
AU  - Yi Shen
AU  - Zulie Pan
AU  - Lu Yu
AU  - Miao Hu
PY  - 2026
DA  - 2026/05/31
TI  - AI-Enabled Three-Dimensional Intelligent Integration and Capacity Transition Model: A Generic Teaching Framework for Cybersecurity Courses
BT  - Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)
PB  - Atlantis Press
SP  - 626
EP  - 634
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-691-3_63
DO  - 10.2991/978-94-6239-691-3_63
ID  - Shen2026
ER  -