A traditional-learning time predictive approach for e-learning systems in challenging environments

EAI Endorsed Transactions on e-Learning

K. M. Belise¹ 

[1] Faculty of Science, Department of Mathematics and Computer Science, LIFA, Po. Box. 67 Dschang, Cameroon;

关键词: challenging environment;    context;    e-learning;    offline learning;    online learning;    traditional learning;    prediction;    recommender;    content filtering;    collaborative filtering;   

DOI  :  10.4108/eai.29-11-2017.153391

来源: DOAJ

【 摘 要 】

The explosion of world-wide-web has offered people a large number of online courses, e-classes and e-schools. Such e-learning applications contain a wide variety of learning materials which can confuse the choices of learner to select. Although the area of recommender systems has made a significant progress over the last several years to address this problem, the issue remained fairly unexplored for challenging environments. This paper proposes an approach to predict traditional-learning times for recommender systems in such environments.

【 授权许可】

Unknown