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Article http://dx.doi.org/10.26855/jhass.2026.09.015

Reconstructing Labor Literacy Cultivation Scenarios in the Artificial Intelligence Era

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Guohui Liu^*, Xianpan Xie

School of Materials & Environmental Engineering, Shenzhen Polytechnic University, Shenzhen 518055, Guangdong, China.

*Corresponding author: Guohui Liu

Published: September 20,2026

Abstract

Chinese labor education policy requires schools to address the new forms of labor created by technological change, yet cultivation still relies largely on fixed venues and one-off activities. This paper reframes the problem as one of scenario supply rather than program quantity. Drawing on an empirically derived four-dimensional model of labor literacy, on quasi-experimental evidence from scenario-based labor education courses, and on frameworks from research on artificial intelligence in education, it proposes a cultivation system in which three interlocking scenarios—authentic labor, virtual simulation, and online collaboration—map onto the four dimensions of labor literacy and are linked by a unified literacy portfolio and an evaluation feedback loop. The design treats AI as augmentation rather than replacement of teachers and specifies implementation conditions: a functioning evaluation and supervision mechanism, teacher AI competence, and coordination across pedagogical, governance, and operational levels. The paper connects two previously separate research lines and states how the design should be evaluated, claiming no effects it has not measured.

Keywords

Work education; virtual simulation; online collaborative learning; formative evaluation; human–AI collaboration

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How to cite this paper

Reconstructing Labor Literacy Cultivation Scenarios in the Artificial Intelligence Era

How to cite this paper: Guohui Liu, Xianpan Xie. (2026) Reconstructing Labor Literacy Cultivation Scenarios in the Artificial Intelligence Era. Journal of Humanities, Arts and Social Science, 10(9), 1133-1137.

DOI: http://dx.doi.org/10.26855/jhass.2026.09.015