Integrating Artificial Intelligence Technologies into Mining Education

By Pedram Roghanchi, Pi

Artificial Intelligence, data science

This project is driven by the belief that incorporating AI-focused courses into the mining engineering curriculum will enhance students’ problem-solving skills and ability to adapt to technological advancements in mining. The aim is to align education with industry demands, ensuring graduates are well-prepared for the workforce

This project aims to address fundamental issues such as data analytics, machine learning, and generative AI in the mining industry by creating a new course titled “Applications of Artificial Intelligence in the Mining Industry” and significantly modifying an existing course on “Mine Automation.” These courses will cover critical AI applications, such as data collection, predictive analytics, safety and risk management, and ethical considerations in AI.

The project’s first step involves conducting a comprehensive analysis of current and emerging AI technologies impacting the mining industry through stakeholder engagement via a detailed questionnaire. This questionnaire will gather insights on AI applications, required competencies, and curriculum gaps, ensuring a diverse range of perspectives.
With these insights, a flexible and comprehensive curriculum framework will be developed, covering essential AI elements from foundational concepts to advanced applications. This framework will guide the design of the syllabi for the proposed courses, balancing theoretical knowledge with practical applications. Each course will emphasize project-based learning and interdisciplinary collaboration, ensuring students gain hands-on experience with AI tools and technologies relevant to mining.
A robust assessment plan will incorporate continuous feedback from academic and industry advisory boards.
Semi-annual reviews will ensure the curriculum remains dynamic and responsive to technological advancements and industry needs.

By aligning the educational experience with practical demands and evolving technologies, this initiative aims to prepare graduates to lead and innovate in the AI-enhanced mining sector.