智能采矿工程专业岩层控制学实验教学模式探索与实践OA

The development of intelligent coal mine construction and operation is driving the knowledge and skill requirements for talents in the coal industry to shift from traditional mining processes and mine pres-sure to emerging technologies such as artificial intelligence,equipment control,and cloud computing.Based on an analysis of the pain points in experimental teaching of mining engineering,this paper proposes a"four-level and one-link chain"experimental teaching model for Strata Control.The model consists of four progressively advancing teaching levels:basic cognition,virtual simulation,physical experiment,and engineer-ing practice,complemented by an intelligent companion evaluation chain,collectively forming a"virtual-actu-al combination"experimental teaching system.The four teaching levels correspond to four ability objectives of cognitive construction,simulation exercise,hands-on operation,and engineering practice,respectively,es-tablishing a stepwise cultivation pathway.In experimental teaching,modular teaching units are set up to organi-cally integrate traditional mining knowledge into links such as surrounding rock signal sensing,excavation equipment control,and recognition algorithm design,promoting the transformation of knowledge integration into comprehensive abilities.The intelligent companion system relies on a whole-process cognitive state moni-toring and real-time feedback mechanism,embedding engineer competency standards into the evaluation sys-tem and constructing a dynamic assessment system based on industry needs.Through practice,the"four-level and one-link chain"experimental teaching model effectively bridges the gap between theoretical teaching and engineering practice,laying a foundation for cultivating high-quality interdisciplinary mining talents that meet the requirements of the new era.