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Research on the Path of Talent Development and Upgrading of Mining Engineering under the Background of the Intelligent Mine

Published: 05 October 2021 Publication History

Abstract

The construction of intelligent mines puts forward new challenges to the talent training of Mining Engineering. The connotation and future development trend of intelligent mines were systematically expounded in the paper, summarizing the current situation and the barriers to upgrading and transforming the major. Based on the development status of intelligent mines, a curriculum system construction plan was proposed incorporating the principle of merging traditional courses, introducing in new courses, strengthening knowledge integration, highlighting practical ability training, and setting elective course groups according to the research direction. In addition, a supporting teacher construction plan and a practice base construction plan were proposed accordingly. Subsequently, a talent training and an upgrading path for the major of Mining Engineering under the background of intelligent mining were proposed.

References

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Li, X.S. Ma, J.M. and Wang, Y.Y. 2019. Evolution and development trend of smart mine construction. Industry and Mine Automation . 9:65-69.
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Lv, P.F. He, M. Chen, X.J. and Bao, Y.T. 2018. Development and Prospect of smart mine. Industry and Mine Automation. 9:84-88.
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Sheng, J.L. Ye, Y.C. Liu, X.Y. Chen, Y. and Liu, Y.Z. 2016. Research on the reform of talent training mode of mining engineering specialty under the new situation. China Mining Magazine. 7:157-160.
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Yao, Q.L. Wan, Z.G. and LI, X.H. 2016. Comparison and Enlightenment of undergraduate training program of mining engineering major in China. Meitan Higher Education. 5:78-83.
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Liu, J.P. Bai, R.X. and Zou, R.L. 2020. Teaching reform of rock mass testing course for mining engineering specialty in information age. Education Teaching Forum. 7:206-208.
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Ding, Z.W. Chai,J. Xie,P.S.Sun, W.B. Guo, W.B. and Wang, H.W. 2020.Exploration of the intelligent mining talent cultivation in mining engineering under the background of new engineering. Meitan Higher Education. 6:79-84.

Cited By

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  • (2024)Exploring the impacts of automation in the mining industry: A systematic review using natural language processingMining Technology: Transactions of the Institutions of Mining and Metallurgy10.1177/25726668241270486Online publication date: 30-Aug-2024
  • (2024)Opportunities for research to achieve the vision of the Smart MineCIM Journal10.1080/19236026.2024.2377527(1-34)Online publication date: 3-Oct-2024

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ICFET '21: Proceedings of the 7th International Conference on Frontiers of Educational Technologies
June 2021
241 pages
ISBN:9781450389723
DOI:10.1145/3473141
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 05 October 2021

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Cited By

View all
  • (2024)Exploring the impacts of automation in the mining industry: A systematic review using natural language processingMining Technology: Transactions of the Institutions of Mining and Metallurgy10.1177/25726668241270486Online publication date: 30-Aug-2024
  • (2024)Opportunities for research to achieve the vision of the Smart MineCIM Journal10.1080/19236026.2024.2377527(1-34)Online publication date: 3-Oct-2024

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