基于MOOC的现代优化算法课程教学改革研究

计算机工程与科学

基于MOOC的现代优化算法课程教学改革研究

杨志伟1，曾平2，唐国明1，杨克巍1

（1.国防科技大学系统工程学院,湖南长沙 410073;2.国防科技大学教务处,湖南长沙 410073）

收稿日期:2018-07-16 修回日期:2018-09-20 出版日期:2018-11-26 发布日期:2018-11-25

Teaching reform of modern optimization

algorithm courses based on MOOC

YANG Zhiwei1，ZENG Ping2，TANG Guoming1,YANG Kewei1

(1.College of Systems Engineering,National University of Defense Technology,Changsha 410073;

2.Office of Educational Administration,National University of Defense Technology,Changsha 410073,China）

Received:2018-07-16 Revised:2018-09-20 Online:2018-11-26 Published:2018-11-25

摘要/Abstract

摘要：

在传统的现代优化算法课程教学存在问题的基础上，利用MOOC平台的优质资源，以学员为中心，组织教学活动，加强教师与学员的交互，鼓励学员进行团队协作，提出基于MOOC平台的新型教学模式，对现代算法课程进行教学案例设计。最后，结合2016~2018年现代优化算法课程的实际教学数据，对比传统教学模式与基于MOOC平台新型教学模式的教学效果，验证了基于MOOC平台的新型教学模式的可行性，能有效提高课程的教学效果。

关键词: MOOC, 现代优化算法, 教学改革, 高校教育

Abstract:

Aiming at the problems existing in the traditional teaching of modern optimization algorithm courses, we propose a new student-centered teaching mode which uses the high-quality resources of the MOOC platform to organize teaching activities. This mode strengthens the interaction between teachers and students and encourages students to cooperate with each other. We take the modern algorithm course as a case to design a teaching plan. Finally, the teaching data of the modern optimization algorithm course from 2016 to 2018 are compared to show the teaching effect of the traditional teaching mode and the new teaching mode based on the MOOC platform, which verifies the feasibility of the latter. Results show that the proposed method can effectively improve teaching effect.

Key words: MOOC, modern optimization algorithm, teaching reform, higher education

杨志伟1，曾平2，唐国明1，杨克巍1. 基于MOOC的现代优化算法课程教学改革研究[J]. 计算机工程与科学.

YANG Zhiwei1，ZENG Ping2，TANG Guoming1,YANG Kewei1.

Teaching reform of modern optimization

algorithm courses based on MOOC

[J]. Computer Engineering & Science.

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