Abstract: Adapted e-Learning systems try to adapt the learning material based on the student’s preferences. Course authors design their courses with their students’ styles and in mind, course delivery should match the student style, and student assessment should also be adapted to match each specific student’s learning style, while student portfolio helps identifying the student model. To the best of our knowledge, no clear recommendation for building community wide adapted and personalized e-learning systems. This paper presents recommendations to add adaptation and personalization to one of the most common open source Learning Management System (LMS), Moodle. The adaptation features are based on using learning styles, ontology, and cognitive Bloom Taxonomy in building and presentation of the e-learning material (Learning Objects). This is helpful to establish adaptable and cognition-based Learning Object repository and course development centers.

Mostafa Saleh and Reda Mohamed Salama. “Recommendations for Building Adaptive Cognition-based E-Learning”. International Journal of Advanced Computer Science and Applications (IJACSA) 9.8 (2018). http://dx.doi.org/10.14569/IJACSA.2018.090850

@article{Saleh2018,
title = {Recommendations for Building Adaptive Cognition-based E-Learning},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090850},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090850},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {8},
author = {Mostafa Saleh and Reda Mohamed Salama}
}