Abstract
In view of the problems that the training system of domestic mining engineering specialty is prevalent in the past for a long period of time, there are many problems such as lack of talent cultivation, lack of academic tendency, lack of teacher engineering and weak practice. Jiangxi University of Science and Technology learn from the domestic industry in the field of top institutions of high-end disciplines development concept and application-oriented undergraduate, vocational education orientation of personnel training ideas, through the construction of “school-based-the participation of the mine” and the “theoretical study - engineering practice - innovation and development” of the integrated curriculum platform, including the curriculum system, teaching content, practice, teaching operation, teaching materials, teacher training and management mechanisms All-round reform, carried out a diversified, cross-scale practice of exploration and innovation, formed a set of more complete and the implementation of the effect of improving the mining project compound talent training program. The effect of the implementation in recent years shows that the smooth implementation of the scheme can help the mining engineering graduates to complete the rapid transformation of the mining technology compound talents under the new situation and help to realize the training objectives of the outstanding engineers.
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Acknowledgments
The authors gratefully acknowledge the financial support from the Project supported by Educational Commission of Jiangxi Province of China (JXJG-17-7-8, 2015SJGLX225); Excellent Engineer Training Program of Jiangxi Province of China.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhong, W., Zhao, K., Wang, X., Xiao, G. (2018). Optimization and Practice of Talent Cultivation Scheme of “Regression Project” in Mining Engineering Specialty. In: Liu, S., Glowatz, M., Zappatore, M., Gao, H., Jia, B., Bucciero, A. (eds) e-Learning, e-Education, and Online Training. eLEOT 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 243. Springer, Cham. https://doi.org/10.1007/978-3-319-93719-9_27
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DOI: https://doi.org/10.1007/978-3-319-93719-9_27
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