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新工科导向的“智能选矿”课程教学方法探索
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Abstract:
围绕“智能选矿”课程的教学设计与实施展开探讨，分析了课程在新工科背景下面临的主要问题及解决策略。课程内容涉及人工智能与矿物加工两大领域，针对学时限制、知识体系庞杂以及前置课程设置薄弱等问题，提出了通过合理设置课程目标、线上线下结合、交互式教学组件等方式，优化课程结构与教学模式。通过案例教学与实践操作，提升了学生的实际应用能力与创新思维，推动了理论与实践的深度融合。课程的开展不仅满足了煤炭行业智能化人才培养的需求，也为矿物加工工程的智能化转型提供了理论依据与实践指导。
This paper explores the teaching design and implementation of the “Intelligent Beneficiation” course, analyzing the main challenges and solutions faced under the framework of New Engineering Education. The course content spans two major fields: artificial intelligence and mineral processing. In response to challenges such as time constraints, a complex knowledge system, and weak prerequisite courses, the paper proposes strategies to optimize the course structure and teaching model, including setting clear course objectives, combining online and offline learning, and incorporating interactive teaching components. Through case-based teaching and practical operations, the course enhances students’ practical application skills and innovative thinking, fostering a deeper integration of theory and practice. The implementation of this course not only meets the demand for talent development in the intelligent coal industry but also provides a theoretical foundation and practical guidance for the intelligent transformation of mineral processing engineering.
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