期刊文献+

大数据环境下概率论课程的智能教学方法改革研究

Reform Research on Intelligent Teaching Method of Probability Theory Course in the Context of Big Data
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摘要 为了构建大数据环境下概率论课程的教学新体系,分析了大数据的特点及大数据时代下统计学专业的变革对概率论课程的影响。在此基础上,提出在概率论课程体系中有效融合大数据及智能化内容,引用大数据智能应用与实践案例,构建"学以致研、研以致创、创以致用"的"学、研、创"三位一体循序渐进的教学模式,并建立以新型翻转课堂教学为基础的概率论在线课程,从多维度上帮助学生更好提高统计分析及实践能力。 In order to construct a novel teaching system of statistical courses in the context of big data,this paper analyzes the characteristics of big data as well as the influence of the change of statistics major on the course of probability theory in the era of big data.On this basis,it is proposed to effectively integrate big data and intelligent contents in probability theory curriculum system and introduce the practical cases of big data intelligent applications.Thus a step-by-step trinity teaching mode of“learning,researching and creating”is constructed,which integrates learning with research,research with creation and creation with application.In addition,the online course of probability theory based on the new flip-flop classroom teaching is established to help students improve their statistical analysis and practical ability from the perspective of multiple dimensions.
作者 文江辉 饶从军 Wen Jianghui;Rao Congjun(School of Science,Wuhan University of Technology,Wuhan,Hubei 430070,China)
出处 《湖北工程学院学报》 2020年第3期78-80,共3页 Journal of Hubei Engineering University
基金 武汉理工大学教学研究项目(w2016001,w2016024)。
关键词 大数据 概率论 智能教学模式 新型翻转课堂教学 big data probability theory intelligent teaching model new flip-flop classroom teaching
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