From e-Learning to m-Learning: Context-Aware CBR System

被引：0

作者：

Chorfi, Henda Ouertani ^{[1
]}

Sevkli, Aise Zuelal ^{[2
]}

Bousbahi, Fatiha ^{[1
]}

机构：

[1] King Saud Univ, Coll Comp & Informat Sci, Dept Informat Technol, Riyadh, Saudi Arabia

[2] Fatih Univ, Dept Comp Engn, Istanbul, Turkey

来源：

NEURAL INFORMATION PROCESSING, ICONIP 2012, PT IV | 2012年 / 7666卷

关键词：

m-learning; mobile device; Case-Based Reasoning; content adaption;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Mobile learning extends e-learning, from indoors to outdoors by giving learners opportunities to improve their skills when and where needed. By this way, the mobile device can be a powerful tool for learners to acquire information and knowledge. However, one of the biggest challenges in mobile learning is addressing the needs of a varied learner type across a wider variety of devices in different contexts. These new needs faces us to take into account not only users' preferences and devices capabilities but also environmental characteristics. Our main focus in this article is to discuss issues related to e-learning versus m-learning and the design of a mobile learning system based on Case-Based Reasoning approach taking into consideration context-aware of device added to users' preferences and devices' capabilities.

引用

页码：528 / 534

页数：7