Track 6: Mining Engineering and Mine Planning

6. DISCUSSION: INNOVATIVE EDUCATION AS A CATALYST FOR TRANSFORMATION 6.1 The Educational Gap and the Proposed Framework The transition from blasting conceived in isolation to the integrated pit-to-plant system demands professionals with a profile that traditional curricula systematically fail to produce. Steen (The Intelligent Miner, 2024) captures the problem precisely: “Today companies take technical competencies for granted, but demand knowledge of emerging technologies, AI, collaboration and leadership, a list that keeps growing. A traditional fouryear degree cannot cover all of this.” This gap is not an isolated shortcoming: it is structural, and deepens as the pace of technological transformation in the mineral industry outstrips the capacity of conventional academic programmes to keep up. This paper proposes an educational framework structured around five complementary and mutually reinforcing dimensions: Dimension 1 — Systemic Pit-to-Plant Curriculum Blasting must be taught explicitly as the first and most highly leveraged stage of an integrated energy system, incorporating: fragmentation modelling (Kuz-Ram, KCO), calculation of the Bond Work Index and its dependence on feed size, integrated OPEX analysis of the pit-to-plant system, and monitoring of Mine-to-Mill KPIs (X80, throughput, kWh/t, USD/t and CO₂/t emissions). The objective is not merely to teach blasting techniques, but to develop a systems engineer mindset. Dimension 2 — Active Methodologies: PBL and CBL Students receive real mine datasets, geomechanical, operational and cost data, and are challenged to propose a blast design that simultaneously reduces plant energy consumption and respects geotechnical stability and safety constraints. Error is a constitutive part of learning: a blast that maximises fragmentation but compromises slope stability is an invaluable pedagogical exercise, as it forces students to navigate real tradeoffs between efficiency, safety and cost (Caratozzolo et al., 2024; Moraes et al., 2023). Assessment privileges systemic reasoning processes and the quality of technical argumentation over the mere correctness of the final result. Dimension 3 — Digital Technologies and Simulation Curricular integration of professional platforms (JKSimBlast, JKSimMet, OPitblast) and ML/AI tools for X80 prediction and adaptive blast design optimisation. Simulation laboratories should replicate real conditions from regional mines, using authentic geomechanical data made available by partner companies, bringing the academic environment closer to effective operational conditions. Exposure to digital twins and realtime monitoring systems (MWD, HSI) from undergraduate level is essential for reducing graduates’ adaptation time in industry (Esen, 2024). Dimension 4 — Industry–Academia Partnership Formalised partnerships with mining companies operating in Latin America (Vale, Codelco, Antofagasta Minerals, BHP Escondida, Anglo American, Kinross, among others) to: provide anonymised operational data for classroom use, conduct structured technical site visits, co-supervise internships on active M2M projects, and jointly develop specific

RkJQdWJsaXNoZXIy MTM0Mzk2