• 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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Semi-supervised blending learning and
teaching practice based on practical-style SPOC
 

WEI Yingmei,XIE Yuxiang,JIANG Jie   

  1. (College of System Engineering,National University of Defense Technology,Changsha 410073,China)
  • Received:2018-07-05 Revised:2018-09-16 Online:2018-11-26 Published:2018-11-25

Abstract:

Self-directed learning of MOOC provides an effective way for reducing individual difference of students in taking popular optional practical courses. SPOC which utilizes MOOC resources is suitable for classroom teaching. Since selfdirected learning is up to the consciousness of leaners, we discuss the syllabus organized by application problems and propose a semi-supervised blending learning based on SPOC. Our teaching practice and data in the past 3 years prove the effectiveness of such teaching mode.
 

Key words: MOOC;SPOC, semi-supervised blending learning