E-LEARNING PERSONALIZATION BASED ON COLLABORATIVE FILTERING AND LEARNER’S PREFERENCE
Personalized e-learning based on recommender system is recognized as one of the most interesting research field in the education and teaching in this last decade, since, the learning style is specific for each student. In fact from the knowledge of his or her learning style; it is easier to recommen...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor's University
2016-11-01
|
Series: | Journal of Engineering Science and Technology |
Subjects: | |
Online Access: | http://jestec.taylors.edu.my/Vol%2011%20issue%2011%20November%202016/11_11_5.pdf |
_version_ | 1818365813240889344 |
---|---|
author | OUTMANE BOURKOUKOU ESSAID EL BACHARI |
author_facet | OUTMANE BOURKOUKOU ESSAID EL BACHARI |
author_sort | OUTMANE BOURKOUKOU |
collection | DOAJ |
description | Personalized e-learning based on recommender system is recognized as one of the most interesting research field in the education and teaching in this last decade, since, the learning style is specific for each student. In fact from the knowledge of his or her learning style; it is easier to recommend a teaching strategy builds around a collection of the most adequate learning objects to give a better return on the educational level. This work focuses on the design of a personalized e-learning environment based on collaborative filtering and learning styles. Using the learner profile, the device proposed a personalized teaching strategy by selecting and sequencing learning objects fitting with the learners’ learning styles. Moreover, an experiment was conducted to evaluate
the performance of our approach. The result reveals the system effectiveness for which it appears that the proposed approach may be promising. |
first_indexed | 2024-12-13T22:26:13Z |
format | Article |
id | doaj.art-10f7e90563c344888ff2e2935de2abb7 |
institution | Directory Open Access Journal |
issn | 1823-4690 |
language | English |
last_indexed | 2024-12-13T22:26:13Z |
publishDate | 2016-11-01 |
publisher | Taylor's University |
record_format | Article |
series | Journal of Engineering Science and Technology |
spelling | doaj.art-10f7e90563c344888ff2e2935de2abb72022-12-21T23:29:11ZengTaylor's UniversityJournal of Engineering Science and Technology1823-46902016-11-01111115651581E-LEARNING PERSONALIZATION BASED ON COLLABORATIVE FILTERING AND LEARNER’S PREFERENCEOUTMANE BOURKOUKOU0ESSAID EL BACHARI1Department of Engineering Science, Cadi Ayyad University, Computer Systems Engineering Laboratory (LISI), B.P. 2390, Bd My Abdellah, 40000, Marrakesh, MoroccoDepartment of Engineering Science, Cadi Ayyad University, Computer Systems Engineering Laboratory (LISI), B.P. 2390, Bd My Abdellah, 40000, Marrakesh, MoroccoPersonalized e-learning based on recommender system is recognized as one of the most interesting research field in the education and teaching in this last decade, since, the learning style is specific for each student. In fact from the knowledge of his or her learning style; it is easier to recommend a teaching strategy builds around a collection of the most adequate learning objects to give a better return on the educational level. This work focuses on the design of a personalized e-learning environment based on collaborative filtering and learning styles. Using the learner profile, the device proposed a personalized teaching strategy by selecting and sequencing learning objects fitting with the learners’ learning styles. Moreover, an experiment was conducted to evaluate the performance of our approach. The result reveals the system effectiveness for which it appears that the proposed approach may be promising.http://jestec.taylors.edu.my/Vol%2011%20issue%2011%20November%202016/11_11_5.pdfE-learning; Learning style; Teaching strategy; Recommender system; Collaborative filteringE-learningLearning styleTeaching strategyRecommender systemCollaborative filterin |
spellingShingle | OUTMANE BOURKOUKOU ESSAID EL BACHARI E-LEARNING PERSONALIZATION BASED ON COLLABORATIVE FILTERING AND LEARNER’S PREFERENCE Journal of Engineering Science and Technology E-learning; Learning style; Teaching strategy; Recommender system; Collaborative filtering E-learning Learning style Teaching strategy Recommender system Collaborative filterin |
title | E-LEARNING PERSONALIZATION BASED ON COLLABORATIVE FILTERING AND LEARNER’S PREFERENCE |
title_full | E-LEARNING PERSONALIZATION BASED ON COLLABORATIVE FILTERING AND LEARNER’S PREFERENCE |
title_fullStr | E-LEARNING PERSONALIZATION BASED ON COLLABORATIVE FILTERING AND LEARNER’S PREFERENCE |
title_full_unstemmed | E-LEARNING PERSONALIZATION BASED ON COLLABORATIVE FILTERING AND LEARNER’S PREFERENCE |
title_short | E-LEARNING PERSONALIZATION BASED ON COLLABORATIVE FILTERING AND LEARNER’S PREFERENCE |
title_sort | e learning personalization based on collaborative filtering and learner s preference |
topic | E-learning; Learning style; Teaching strategy; Recommender system; Collaborative filtering E-learning Learning style Teaching strategy Recommender system Collaborative filterin |
url | http://jestec.taylors.edu.my/Vol%2011%20issue%2011%20November%202016/11_11_5.pdf |
work_keys_str_mv | AT outmanebourkoukou elearningpersonalizationbasedoncollaborativefilteringandlearnerspreference AT essaidelbachari elearningpersonalizationbasedoncollaborativefilteringandlearnerspreference |