TOWARDS A MULTIDIMENSIONAL MODEL FOR PREDICTING A LEARNER'S PERFORMANCE IN AN ONLINE LEARNING SYSTEM

被引:0
|
作者
Safsouf, Y. [1 ]
Mansouri, K. [2 ]
Poirier, F. [1 ]
机构
[1] Univ Bretage Sud, Lab STICC, Vannes, France
[2] Univ Hassan II Casablanca, ENSET Mohammedia, Lab SSDIA, Casablanca, Morocco
来源
INTED2017: 11TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE | 2017年
关键词
ICT; Predictive Model; Student Performance; Data Mining; EDM; E-Learning; ICT; ENVIRONMENTS; ACHIEVEMENT; MOTIVATION; EDUCATION; COMPUTER;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Information and communication technologies (ICTs) have created new opportunities for education. E-Learning has become a good tool to improve the quality of teaching. It may be the best solution for many situations that replaces traditional classroom training. Although e-learning has many advantages, the rate of failure and abundant of running project is very high. Previous researches had proposed several approaches to understand the factors influencing a learner's success in an e-learning system. This contribution presents a comparison and a synthesis of the researches carried out in recent years on these factors of success. It then proposes a successful model of the learner in an e-learning system. This model is based on several performance factors, such as, the learner profile, motivations, self-efficacy, technical skills, etc, as well as other environmental variables. This model will enable us to understand and determine the factors impacting the performance of learners in an e-learning system.
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页码:3638 / 3644
页数:7
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