With the rapid development of technology,the application of machine learning in various fields is becoming increasingly widespread.Mineral processing engineering,as a comprehensive discipline,faces new challenges and opportunities.Taking the course of"Mineral Petrography and Coal Chemistry"as an example,this research explores the integration of machine learning technology into the teaching of mineral processing engineering.Through data-driven teaching methods,data analysis and modeling,and the combination of experiments and practice,the aim is to enhance students'learning interest and practical abilities.Provide new references for the teaching reform of core basic courses in mineral processing majors,especially"Mineral Petrography and Coal Chemistry".
mineral processing engineeringmachine learningclassroom teachingteaching model
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