DocumentCode :
2918420
Title :
Towards Adaptive Mobile Learning System
Author :
Razek, Mohammed A. ; Bardes, Hisham Jameel
Author_Institution :
R&D Deartment, King Abdulaziz Univ., Jeddah, Saudi Arabia
fYear :
2011
fDate :
5-8 Dec. 2011
Firstpage :
493
Lastpage :
498
Abstract :
Mobile learning technology is growing rapidly and it has great potential in providing students with learning opportunities - anytime and anywhere. With a variety of tools and resources always available, mobile learning provides increased options for the personalization of learning. With access to so much content anytime and anywhere, there are plenty of opportunities for individual learning. However, each individual has his/her single way of learning. Students learn through several methods - by hearing, seeing, memorizing, visualising, reflecting and acting. Accordingly, some instructors demonstrate or discuss topics, focus on rules, give examples, or emphasize memory. For those reasons, adaptive mobile learning can personalize courses to meet individual needs. In this paper, we present the design and evaluation of a prototype tool called the Adaptive Mobile Learning System, which seeks to support students with a learning object, which is based on their needs. A total of 128 participants (90 female and 38 male) were selected for participation.
Keywords :
computer aided instruction; educational courses; human computer interaction; mobile computing; adaptive mobile learning system; learning object; learning opportunities; learning style; machine learning; mobile learning technology; pedagogical agent; Adaptive systems; Educational institutions; Learning systems; Machine learning; Materials; Mobile communication; Visualization; Adaptation; Learning Style; Machine Learning; Mobile Learning; Pedagogical Agent;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2011 11th International Conference on
Conference_Location :
Melacca
Print_ISBN :
978-1-4577-2151-9
Type :
conf
DOI :
10.1109/HIS.2011.6122154
Filename :
6122154
Link To Document :
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