数据挖掘深度构建化工原理膜分离课程思政教学的探究

Exploring the Integration of Ideological and Political Education into the Membrane Separation Course in Fundamental Principles of Chemical Engineering Through Data Mining

数据挖掘技术具有自动化、目标导向和探索性等特征,可以深入分析课程知识框架,发掘内部的思政元素,以用于专业课程的思政教学改革。对膜分离技术文献进行数据挖掘,生成各种知识网络图,其含有丰富的思想政治元素。通过新冠防控案例介绍膜分离技术,用知识网呈现技术发展脉络,设计开放式思维任务等,将思政元素融入专业知识教学。这不仅提高学生专业水平,又培养了学生的国家责任感和科学素养,实现了专业课程的思政建设。

Data mining technologies have features such as automation,goal-orientedness,and explorability,which can be used to deeply analyze the knowledge framework of courses and discover internal ideological and political elements for use in the ideological and political education reform of professional courses.Data mining on membrane separation technology literature generates various knowledge network diagrams containing rich ideological and political elements.By introducing membrane separation technology through real-life cases of COVID-19 prevention and control,presenting the context of technological development through knowledge networks,designing open-ended cognitive tasks,etc.,ideological and political elements can be integrated into professional knowledge education.This not only improves students’professional competencies,but also nurtures their sense of national responsibility and scientific literacy,achieving the ideological and political education goal of professional courses.