From e-learning to m-learning: context-aware CBR system

Authors:
Henda Ouertani Chorfi;Aise Zülal Sevkli;Fatiha Bousbahi
Affiliations:
College of Computer and Information Sciences, Information Technology Department, King Saud University, Riyadh, Saudi Arabia;Department of Computer Engineering, Fatih University, Istanbul, Turkiye;College of Computer and Information Sciences, Information Technology Department, King Saud University, Riyadh, Saudi Arabia
Venue:
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
Year:
2012

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Abstract

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.