• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Computer Engineering & Science

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Teaching reform of modern optimization
algorithm courses based on MOOC

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

  1. (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

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