Science competition-driven teaching optimization for mining engineering

Under emerging engineering education (3E) initiatives, mining engineering education faces industrial upgrading challenges as traditional models lag in cultivating innovative talent. This paper focuses on science and technology competition-driven optimization, identifying key issues: outdated objectives/curricula, weak practical training, and faculty/methodology gaps. Analyzing competition-education synergies, it proposes strategies: embedding competition elements into courses, developing specialized electives, and creating diverse assessments. Measures include converting competition projects into practical tasks and enhancing university-enterprise practice bases. Empirical evaluation-via student work analysis, academic performance comparison, and faculty adjustments-validates improved teaching quality and student professional competence. This framework offers a robust model for mining engineering education reform.

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Publication Details

Journal
Scientific Reports
Published
2026-01-13
DOI
https://doi.org/10.1038/s41598-025-27460-5
Primary Topic
Engineering Education and Curriculum Development
Type
article
Field-Weighted Citation Impact
0.00

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article

Science competition-driven teaching optimization for mining engineering

Shasha Yan, S. Cliff Liu, C. Chen, Shangtao Zhou et al.
Scientific Reports
Engineering Education and Curriculum Development
article

Science competition-driven teaching optimization for mining engineering

Shasha Yan, S. Cliff Liu, C. Chen, Shangtao Zhou, Xuelong Li, Xuesheng Liu, Rui Wang
article en

Abstract

Under emerging engineering education (3E) initiatives, mining engineering education faces industrial upgrading challenges as traditional models lag in cultivating innovative talent. This paper focuses on science and technology competition-driven optimization, identifying key issues: outdated objectives/curricula, weak practical training, and faculty/methodology gaps. Analyzing competition-education synergies, it proposes strategies: embedding competition elements into courses, developing specialized electives, and creating diverse assessments. Measures include converting competition projects into practical tasks and enhancing university-enterprise practice bases. Empirical evaluation-via student work analysis, academic performance comparison, and faculty adjustments-validates improved teaching quality and student professional competence. This framework offers a robust model for mining engineering education reform.

Scientific ReportsVol. 16(1)
Shandong University of Science and Technology (CN)
Shandong University, National Natural Science Foundation of China, Shandong University of Science and Technology, Natural Science Foundation of Shandong Province
Industry, innovation and infrastructure
Openalex Percentile: Top 90%
Engineering Education and Curriculum Development
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