新农科背景下大学数学类课程混合式教学实践困境与策略优化——以概率论与数理统计课程为例  

The practical dilemma and strategy optimization of blended teaching in university mathematics courses under the background of new agricultural science--Taking the course of probability and mathematical statistics as an example

作　　者：陈晓坤 成协设[2] CHEN Xiao-kun;CHENG Xie-she(College of Informatics,Huazhong Agricultural University,Wuhan 430070,China;Undergraduate School,Huazhong Agricultural University,Wuhan 430070,China)

机构地区：[1]华中农业大学信息学院,湖北武汉430070 [2]华中农业大学本科生院,湖北武汉430070

出　　处：《湖北师范大学学报（自然科学版）》2023年第4期110-114,共5页Journal of Hubei Normal University：Natural Science

基　　金：华中农业大学2021年“课程思政”示范建设项目:概率论与数理统计B(编号sz2021098);华中农业大学2022年教学改革研究项目:智慧教学环境中的教学变革(编号2022122)。

摘　　要：新农科背景下,大学数学类课程开展混合式教学改革创新既是热点也是新常态。以概率论与数理统计课程为例,通过分析混合式教学创新的历程和意义,针对实践中面临的困境问题,探讨了思路与策略的优化。围绕“自主学习有效性”的问题,重构课前学习任务;围绕“深度学习匹配性”的问题,深化课堂教学设计;围绕“多元评价分散性”的问题,整合量化评价模块。Under the background of the new agricultural science,it is a hot topic and new common trend to carry out blended teaching reform and innovation in university mathematics courses.Taking the course“probabilityand mathematical statistics”as an example,this paper analyzes the process and significance of blended teaching innovation,and discusses the optimization of ideas and strategies in view of the difficulties faced in the innovative practice.Reconstruct pre class learning tasks around the issue of“effectiveness of autonomous learning”.Deepen classroom teaching design around the issue of“deep learning matching”.Integrating quantitative evaluation modules around the issue of“dispersivity of multiple evaluation”.

关 键 词：混合式教学 概率论与数理统计 策略优化 

分 类 号：O21-4[理学—概率论与数理统计] G642[理学—数学]