Proceedings of the 2025 10th International Conference on Modern Management, Education and Social Sciences (MMET 2025)

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The Attention Evolution in Engineering Drawing Teaching Design Inspired by the Short-Form Video Mechanism

Authors
Ying Liu1, 2, *, Yanting Luo1, 2, Haijun Xu1
1College of Intelligence Science and Technology, National University of Defense Technology, 410073, Changsha, China
2National Key Laboratory of Equipment State Sensing and Smart Support, National University of Defense Technology, 410073, Changsha, China
*Corresponding author. Email: liuying@nudt.edu.cn
Corresponding Author
Ying Liu
Available Online 11 November 2025.
DOI
10.2991/978-2-38476-475-4_49How to use a DOI?
Keywords
Attention evolution; short-form video; Teaching Design
Abstract

Sustaining student engagement in cognitively demanding engineering disciplines, such as Engineering Drawing, presents a significant challenge. Conventional qualitative approaches are inadequate for quantitatively characterizing the dynamics of attention decay. Drawing inspiration from attention capture mechanisms in short-form videos, we introduce a “beaded mini-course” instructional framework. Firstly, we analyze psychological principles of attention and short-video engagement strategies under attention economy. Utilizing the detailed knowledge framework of Engineering Drawing, we segment the 45-minute lecture into 10–15-minute BOPPPS mini-lessons (referred to as “beads”), which are synchronized with optimal attention spans. Each mini-lesson integrates interactive resources via cloud platforms for cross-device accessibility. An exponential decay model is applied to approximate individual attention evolution. The simulation result of all students reveals that the interactions significantly sustain attention versus non-interactive lectures. The new designed framework demonstrates the ability to correct attention drift and maintain high engagement levels. The approach bridges attention economy principles with engineering pedagogy, offering a data-driven strategy for cognitive load management.

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.

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Volume Title
Proceedings of the 2025 10th International Conference on Modern Management, Education and Social Sciences (MMET 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
11 November 2025
ISBN
978-2-38476-475-4
ISSN
2352-5398
DOI
10.2991/978-2-38476-475-4_49How 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  - Ying Liu
AU  - Yanting Luo
AU  - Haijun Xu
PY  - 2025
DA  - 2025/11/11
TI  - The Attention Evolution in Engineering Drawing Teaching Design Inspired by the Short-Form Video Mechanism
BT  - Proceedings of the 2025 10th International Conference on Modern Management, Education and Social Sciences (MMET 2025)
PB  - Atlantis Press
SP  - 412
EP  - 421
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-475-4_49
DO  - 10.2991/978-2-38476-475-4_49
ID  - Liu2025
ER  -