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Original scientific article

INTEGRATING SUSTAINABLE PRACTICES AND AUTOMATION IN MINING ENGINEERING EDUCATION FOR THE MODERN ERA

By
Kamala Kodirova Orcid logo ,
Kamala Kodirova

Uzbek State University of World Languages , Tashkent , Uzbekistan

Ozodbek Nematov Orcid logo ,
Ozodbek Nematov

Jizzakh State Pedagogical University , Jizzakh , Uzbekistan

Anastasia Seitasmanova Orcid logo ,
Anastasia Seitasmanova

Jizzakh State Pedagogical University , Jizzakh , Uzbekistan

Sarvinoz Qodirova Orcid logo ,
Sarvinoz Qodirova

Termez University of Economics and Service Uzbekistan

Feruza Sapaeva Orcid logo ,
Feruza Sapaeva

Uzbekistan State World Languages University Uzbekistan

Fotima Babajanova Orcid logo ,
Fotima Babajanova

Gulistan State University , Guliston , Uzbekistan

Bakhtiyor Polvonov Orcid logo ,
Bakhtiyor Polvonov

Fergana State Technical University Uzbekistan

Abduraim Adilov Orcid logo
Abduraim Adilov

Gulistan State University , Guliston , Uzbekistan

Abstract

Sustainable practice and automation in the field of mining engineering are becoming a fundamental component of educating the future engineers to respond to the challenges facing a changing mining industry. As mining operators are increasingly being pressured to utilize more environmentally sustainable practices and to adopt new automation technologies, the type of education provided to these future engineers has never been more important. This study will explore the integration of sustainable practice and automation technology in the current mining engineering education curriculum. Additionally, this study will assess the current state of mining engineering education through the use of a mixed-method approach (including a survey sent to both academic institutions and industry experts) and identify existing gaps that need to be addressed. Although sustainable development practices have already been incorporated into some mining engineering education programs, only about 40% of those surveyed currently offer specialized courses that deal with automation technology. In addition, 65% of surveyed industry experts believe that automation has the potential to greatly enhance the environmental sustainability of the mining industry. Finally, the study will discuss how mining engineering programs can incorporate sustainability and automation into the curriculum by developing interdisciplinary programs, partnering with industry, and providing students with hands-on training using the latest technologies available. Incorporating all of these components allows educational institutions the ability to provide graduates with the tools needed for leading operations that are at the forefront of sustainable and sophisticated technology within the field of mining. To this end, this paper has recommended further enhancements to the curriculum, improvements to instructional delivery, and increased opportunities to partner with industry to prepare students for the challenges that the future of mining engineering typically presents.

References

1.
Zhang B. Mining Engineering Innovations: Sustainable Practices in Resource Extraction and Management. Research Corridor Journal of Engineering Science. 2024 Oct 25;1(2):77-84.
2.
Adach-Pawelus K, Gogolewska A, Górniak-Zimroz J, Kiełczawa B, Krupa-Kurzynowska J, Paszkowska G, et al. A new face of mining engineer—international curricula to sustainable development and green deal (a case study of the Wrocław University of Science and Technology). Sustainability. 2021 Jan 29;13(3):1393.
3.
Firoozi AA, Firoozi AA, Aati K, Khan AH, Vambol V. Integrating the Fourth Industrial Revolution into Geotechnical Engineering: Transformations, Challenges, and Future Directions. Ecological Questions. 2025 Mar 19;36(1):1-41.
4.
Cai M, Li P, Tan W, Ren F. Key engineering technologies to achieve green, intelligent, and sustainable development of deep metal mines in China. Engineering. 2021 Nov 1;7(11):1513-7.
5.
Hazrat MA, Hassan NM, Chowdhury AA, Rasul MG, Taylor BA. Developing a skilled workforce for future industry demand: The potential of digital twin-based teaching and learning practices in engineering education. Sustainability. 2023 Nov 30;15(23):16433.
6.
Bergamo PA, Streng ES, de Carvalho MA, Rosenkranz J, Ghorbani Y. Simulation-based training and learning: A review on technology-enhanced education for the minerals industry. Minerals Engineering. 2022 Jan 1; 175:107272.
7.
Tseng ML, Tran TP, Ha HM, Bui TD, Lim MK. Sustainable industrial and operation engineering trends and challenges Toward Industry 4.0: A data driven analysis. Journal of Industrial and Production Engineering. 2021 Nov 17;38(8):581-98.
8.
Almusaed A, Yitmen I, Almssad A. Reviewing and integrating aec practices into industry 6.0: Strategies for smart and sustainable future-built environments. Sustainability. 2023 Sep 8;15(18):13464.
9.
Nwulu EO, Elete TY, Aderamo AT, Esiri AE, Erhueh OV. Promoting plant reliability and safety through effective process automation and control engineering practices. World Journal of Advanced Science and Technology. 2023;4(1):62-75.
10.
Halder AK, Mohan J. Innovative methods for integrating geoscience and ecology in environmental education with the Geo-Ecological Learning Framework (GELF). In Transforming Education with Multidisciplinarity. 2025: 9–16. Periodic Series in Multidisciplinary Studies.
11.
Siderska J, Aunimo L, Süße T, von Stamm J, Kedziora D, Aini SN. Towards Intelligent Automation (IA): literature review on the evolution of Robotic Process Automation (RPA), its challenges, and future trends. Engineering Management in Production and Services. 2023;15(4).
12.
Hariram NP, Mekha KB, Suganthan V, Sudhakar K. Sustainalism: An integrated socio-economicenvironmental model to address sustainable development and sustainability. Sustainability. 2023 Jul 6;15(13):10682.
13.
Riad M, Naimi M, Okar C. Enhancing supply chain resilience through artificial intelligence: developing a comprehensive conceptual framework for AI implementation and supply chain optimization. Logistics. 2024 Nov 6;8(4):111.
14.
Datta SD, Islam M, Rahman Sobuz MH, Ahmed S, Kar M. Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review. Heliyon. 2024 Mar 15;10(5).
15.
Adel A, HS Alani N. Human-centric collaboration and Industry 5.0 framework in smart cities and communities: Fostering sustainable development goals 3, 4, 9, and 11 in Society 5.0. Smart Cities. 2024 Jul 5;7(4):1723-75.
16.
Hariram NP, Mekha KB, Suganthan V, Sudhakar K. Sustainalism: An integrated socio-economicenvironmental model to address sustainable development and sustainability. Sustainability. 2023 Jul 6;15(13):10682.
17.
El Bazi N, Mabrouki M, Laayati O, Ouhabi N, El Hadraoui H, Hammouch FE, et al. Generic multilayered digital-twin-framework-enabled asset lifecycle management for the sustainable mining industry. Sustainability. 2023 Feb 14;15(4):3470.

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This is an open access article distributed under the  Creative Commons Attribution Non-Commercial License (CC BY-NC) License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

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