DocumentCode :
2172223
Title :
Make adaptive learning of the MOOC: The CML model
Author :
Yan-hong, Li ; Bo, Zhao ; Jian-hou, Gan
Author_Institution :
School of Information Science and Technology, Yunnan Normal University, Kunming, China
fYear :
2015
fDate :
22-24 July 2015
Firstpage :
1001
Lastpage :
1004
Abstract :
The chance to learn from the best educators of the top universities for free has attracted wide interests of millions who have registered for MOOCs across the world. As MOOCs have gained caused great repercussions, critical debate is brewing on the pedagogical effectiveness of MOOCs. The high attrition rate of students who register at the beginning of a MOOC is a major cause of concern regarding the long-term success, impact, and sustainability of MOOC. Having conducted many studies on the application of adaptive learning in personalized MOOC learning. This article describes the details of customized MOOC learning (CML) model, which contains MOOC cloud, personalized course map and adaptive MOOC learning system. The results indicate that providing a strong pedagogical framework and a personalized learning experience in a MOOC learning environment is very important.
Keywords :
Adaptation models; Adaptive systems; Cloud computing; Education; Learning systems; MOOC; adaptive learning; customized learning model; online learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2015 10th International Conference on
Conference_Location :
Cambridge, United Kingdom
Print_ISBN :
978-1-4799-6598-4
Type :
conf
DOI :
10.1109/ICCSE.2015.7250398
Filename :
7250398
Link To Document :
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