A Human–Machine Complementary Education Model for Highly Skilled Talent in Smart Manufacturing

DOI

10.2991/978-2-38476-628-4_29How to use a DOI?

Keywords

Additional Keywords and Phrases: smart manufacturing; vocational education; human–machine complementarity; competency model; competency assessment

Abstract

This study addresses the trend in intelligent manufacturing jobs shifting from routine operations to equipment maintenance, fault diagnosis, and cross-system collaboration, and explores an observable and evaluable pathway for human-machine complementary talent cultivation. Based on questionnaires, field visits, and interview data collected by the research team from 23 intelligent manufacturing enterprises in Beijing, the study organizes job demands and competency gaps. 83% of the surveyed enterprises reported a decrease in recruitment for basic operation positions, while 74% reported an increase in demand for equipment operation and maintenance and technology application positions; the score gaps between demand and current status for cross-disciplinary knowledge integration, fault diagnosis and problem solving, and data analysis and intelligent decision-making were 1.31, 1.26, and 1.13 points, respectively. On this basis, a TBMHP (Technology-Business-Management-Humanity-Psychology) five-dimensional competency model was constructed, a three-stage progressive cultivation system of “competency integration—competency training—competency enhancement” was proposed, and a cross-disciplinary integrated curriculum architecture of “foundational sharing + intermediate integration + advanced cross-selection” was designed. The study argues that the core of human-machine complementarity lies in achieving a complete educational closed loop from “knowledge construction” to “skill acquisition” and then to “literacy development.” This model provides an actionable practical pathway for higher vocational colleges to address the challenge of “machine replacing humans.”

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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TY  - CONF
AU  - Tingting Liu
AU  - Dunhua Huang
AU  - Zhaoyang Li
AU  - Yao Lin
AU  - Yuhang Li
PY  - 2026
DA  - 2026/10/30
TI  - A Human–Machine Complementary Education Model for Highly Skilled Talent in Smart Manufacturing
BT  - Proceedings of the 2026 2nd International Conference on Education Research and Training Technologies (ERTT 2026)
PB  - Atlantis Press
SP  - 268
EP  - 277
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-628-4_29
DO  - 10.2991/978-2-38476-628-4_29
ID  - Liu2026
ER  -