Study on learning data analysis of MOOCs on MOOCs online courses

被引：0
|
作者：
Huang C.-H.
Ciou Y.-J. [1 ]
Liu A.-C. [2 ]
Chang S.-P. [3 ]
机构：
[1] Department of Computer Science and Information Engineering, National Ilan University, Ilan
[2] Department of Information Engineering and Computer Science, Feng Chia University, Taichung
[3] Department of Multimedia Design, Chihlee University of Technology, New Taipei City
来源：
Huang, Chao-Hsi (chhuang@niu.edu.tw) | 2018年 / Computer Society of the Republic of China卷 / 29期
关键词：
ARCS; Learning data analysis; MOOC; Motivational strategy;
D O I：
10.3966/199115992018102905017
中图分类号：
学科分类号：
摘要：
This study combines ARCS motivation model with MOOC implementation and the learning history information provided by platform to investigate the impact on the learning effectiveness of MOOCs on MOOCs online courses imported motivation model. We found that it has obviously affected the registration of teachers who re-ally want to apply the MOOC projects and start their courses. We also found that learning patterns have changed a lot and the rate of MOOC completion increases significantly from 3.9% to 29%. The research results can be used as a reference for MOOC teaching staff. It can effectively stimulate students' learning motivation and improve learning effectiveness. © 2018 Computer Society of the Republic of China. All rights reserved.
引用
收藏
页码：222 / 231
页数：9
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