| Issue |
ITM Web Conf.
Volume 83, 2026
2025 International Conference on Information Technology, Education and Management Innovation (ITEMI 2025)
|
|
|---|---|---|
| Article Number | 01017 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/itmconf/20268301017 | |
| Published online | 10 March 2026 | |
Teaching innovation reform based on the “triple integration and triple linkage” model: A case study of the course “intelligent detection technology”
School of Mechanical Engineering, University of Ji’Nan, 250022 Ji’Nan, China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
To address key challenges in “Intelligent Detection Technology”-inadequate practical connection, insufficient characteristic education outcomes, and lack of practical innovation-the authors constructed the “Triple Integration” initiative (integrating teaching content, adopting an O-AMAS-based blended teaching model, and combining university-enterprise collaboration with professional innovation) following a student-centered, problem-oriented, and continuous improvement philosophy. This achieved the “Triple Linkage” goal: linking the course closely to professional applications, characteristic education, and practical innovation. Practice shows the “Triple Integration and Triple Linkage” innovative model effectively mitigates core challenges, cultivates students’ ability to apply intelligent detection methods for problem-solving, and provides a theoretical foundation and design ideas for subsequent practical design sessions.
Key words: Emerging engineering / Fostering virtue through education / Two characteristics and one degree (TCOD) / “Triple integration and triple linkage” innovative teaching model / Intelligent detection technology / O-AMAS teaching method
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

