TY  - JOUR
T1  - A Cognitive Approach for an Effective e-Learning System using
Learner Personalization Characteristics
AU - Kanimozhi, A. AU - Cyrilraj, V. 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 21
SP  - 8000
EP  - 8009
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.8000.8009
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.8000.8009
KW  - Human brain
KW  -cognitive tutor
KW  -cognitive architecture
KW  -ACT-R
KW  -e-Learning
KW  -cognitive science
AB  - The major research in cognitive science is to build an intelligent tutor. The tutor should act as a
pedagogical tutor in the e-Learning environment. In all circumstances, the human brain has amazing capability
to learn and adapt with respect to the environment. Now a days, the vast and remarkable developments in
information and communication technology have prompted many universities, colleges and even students to
prefer online learning. Hence, if we use the human brain functionalities to build a cognitive tutor for e-Learning,
the entire e-Learning environment becomes similar to classroom learning. Modelling tutor brain called the
cognitive tutor should always reflect the pedagogical tutor’s behaviour. This study mainly aims at observing
the tutor behaviour and how the tutor will notify the student attentiveness, monitor the progress, offer
motivation and establish the personal touch with the student behaviour based on the information about the
learner personalization characteristics. In learner personalization characteristics, the learner profile and the
learning style have been taken to this proposed learning environment. Cognitive architecture ACT-R (Adaptive
Control of Thoughts-Rational) has been used to design the cognitive tutor based on the working principles of
this architecture.
ER  -