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Traditional Mineral Processing Engineering Pedagogy: A Future-Oriented Study in the Context of Artificial Intelligence

Bin Xiao, Lian Zhang

Abstract


In the wake of rapid technological proliferation, artificial intelligence and virtual reality technologies are increasingly permeating diverse sectors, including the realm of education. Mineral Processing Engineering, a venerable field within engineering disciplines, finds itself at a critical juncture, necessitating immediate modernization and innovation in its pedagogical approaches and content. This manuscript, anchored in the contemporaneous teaching landscape of Mineral Processing Engineering, meticulously scrutinizes the deficiencies inherent in conventional teaching paradigms, whilst elucidating the feasibility and imperative nature of assimilating artificial intelligence and virtual reality technologies into the educational curriculum. The treatise off ers an exhaustive analysis of the prevailing application and trajectories of artificial intelligence and virtual reality within the educational sphere, unequivocally illuminating the unparalleled advantages these technologies confer in augmenting pedagogical effi cacy, catalyzing students’ zeal for learning, and cultivating their innovative prowess. Predicated on these insights, the paper proceeds to conduct an extensive appraisal of the current pedagogical state in Mineral Processing Engineering, pinpointing the lacunae in extant teaching models and advocating for a progressive teaching reform agenda, synergistically integrating artificial intelligence and virtual reality technologies.

Keywords


Artificial Intelligence; Virtual Reality Technology; Mineral Processing Engineering; Teaching Reform; Teaching Effectiveness Evaluation.

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References


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DOI: http://dx.doi.org/10.18686/ahe.v8i9.13875

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