基于“情景式+任务驱动”的概率统计教学——以Bayes公式为例  

Situational and Task Driven Teaching for Probability and Statistics——Exampled by Bayes formula

作　　者：顾丽娟 孙玺菁 刘孝磊 GU Lijuan;SUN Xijing;LIU Xiaolei(Naval Aviation University,Yantai 264001,China)

机构地区：[1]海军航空大学,山东烟台264001

出　　处：《高等数学研究》2023年第4期6-10,共5页Studies in College Mathematics

基　　金：海军航空大学2022年教育训练理论研究课题.

摘　　要：在概率统计课程教学过程中,探索和应用情景式和任务驱动相结合的新型教学模式,并以Bayes公式为例,给出基于“情景式+任务驱动”教学模式下,具体的教学设计方案、创新思路和实施过程.实践表明,这种教学模式应用效果良好,对大学数学课程教学改革尝试具有一定指导意义.A new teaching mode that combines situational and task driven teaching are explored and applied in the teaching process of Probability and Statistics.Taking Bayes formula as an example,a specific teaching design scheme,innovative ideas and implementation process are provided in this paper.The practice shows that this teaching mode has a good application effect and certain guiding significances for the teaching reform of college mathematics.

关 键 词：任务驱动 情景式教学 概率论与数理统计 Bayes公式 

分 类 号：O212[理学—概率论与数理统计]