TY  - JOUR
T1  - Intelligent Adaptation Framework for Children e-Learning
AU - Qaffas, Alaa A. 
JO  - Asian Journal of Information Technology
VL  - 18
IS  - 3
SP  - 116
EP  - 123
PY  - 2019
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2019.116.123
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2019.116.123
KW  - e-Learning
KW  -personalized e-Learning
KW  -adaptive e-Learning
KW  -children learning
KW  -machine learning
KW  -accurately
AB  - Personalization is an essential concept for introducing efficient and interactive learning via. the
internet. Personalization contributes to the improvement of children’s cognitive and language skills. As well
as, it contributes to the speed of learning and make children more innovative. Adaptive e-Learning frameworks
works to achieve these results accurately. Adaptation plays a distinctive role in providing educational material
to suit age, types and learned degree of children. In this study, an original framework for developing an
adaptive and intelligent e-Learning system for children has been proposed. Simplicity, ease of use and
changeability are 3 keys considerations in the design of this framework. Online courses for children may be
designed according to this framework as a means of enhancing their learning process. Furthermore, machine
learning techniques are adopted across this research in order to incorporate intelligent concepts while adapting
child-orientated online courses. Ultimately, machine learning techniques can extract useful information from text
pattern, then these techniques are adopted to effectively classify contents and users in the proposed
framework.
ER  -