TOWARDS A MULTIDIMENSIONAL MODEL FOR PREDICTING A LEARNER'S PERFORMANCE IN AN ONLINE LEARNING SYSTEM
1 University Bretagne Sud, Lab-STICC (FRANCE)
2 University Hassan II, Lab-SSDIA (MOROCCO)
About this paper:
Conference name: 11th International Technology, Education and Development Conference
Dates: 6-8 March, 2017
Location: Valencia, Spain
Abstract: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 research has proposed several approaches to understanding the factors influencing a learner's success in an e-learning system.
This contribution presents a comparison and a synthesis of the research 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.
Keywords: ICT, Predictive Model, Student Performance, Data Mining, EDM, Learning analytics, e-learning.