基于PMCP的混合式教学“金课”建设——以数据结构课程为例  

Construction of “Golden Course” in hybrid teaching based on PMCP——Taking data structure course as an example

作　　者：孙笑微[1] SUN Xiaowei(Software College,Shenyang Normal University,Shenyang 110034,China)

机构地区：[1]沈阳师范大学软件学院,沈阳110034

出　　处：《沈阳师范大学学报（自然科学版）》2022年第6期571-576,共6页Journal of Shenyang Normal University:Natural Science Edition

基　　金：辽宁省教育厅普通高等教育本科教学改革研究项目(10166790)。

摘　　要：为了建设线上线下混合式教学“金课”,在分析传统课程的特点和现状的基础上,探讨了线上线下混合式“金课”的架构和教学组织方式,对线上线下混合式教学的方法进行了探索和研究。以沈阳师范大学软件学院数据结构课程为例,结合具体的教学实践,利用慕课资源建设课程资源库,从网络教学平台(雨课堂、程序设计类实验辅助教学平台)挖掘后台数据,提出具体的线上线下教学设计、实施过程,以提高学生学习的参与度,培养学生的知识应用与创新能力,并对教学效果进行了总结与思考。分别从教师和学生2个角度对线上线下教学的特点进行了总结与阐述,对未来线上教学、线下教学的发展趋势进行了相应的预测,期望可以为高等教育更好地应用线上线下混合式教学新模式提供一些借鉴与参考。In order to build the online and offline hybrid teaching “Golden Course”, based on the analysis of the characteristics and current situation of traditional courses, in this paper, we discuss the structure and teaching organization of the online and offline hybrid “Golden Course”, and study the methods of online and offline hybrid teaching. Taking the data structure course of Software College of Shenyang Normal University as an example, combining with specific teaching practice, the course resource library is built by using MOOC resources, and background data is mined from the network teaching platform(Rain Classroom, program design class experimental auxiliary teaching platform). Specific online and offline teaching design and implementation process are proposed to improve students’ participation in learning and cultivate students’ knowledge application and innovation ability. The teaching effect is summarized and pondered. This paper summarizes and expounds the characteristics of online and offline teaching from the perspectives of teachers and students respectively, and forecasts the development trend of online and offline teaching in the future, hoping to provide some reference for higher education to better apply the new model of online and offline hybrid teaching.

关 键 词：混合式教学 金课 雨课堂 程序设计类实验辅助教学平台 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论] G642.0[自动化与计算机技术—计算机科学与技术]