A Recommender Model in E-learning Environment

被引：22

作者：

Bourkoukou, Outmane ^{[1
]}

El Bachari, Essaid ^{[1
]}

El Adnani, Mohamed ^{[1
]}

机构：

[1] Cadi Ayyad Univ, Marrakech, Morocco

来源：

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2017年 / 42卷 / 02期

关键词：

E-learning; Recommender system; Data sets; Collaborative filtering; Learning objects; SYSTEM; STYLES;

D O I：

10.1007/s13369-016-2292-2

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Various researches in E-learning mainly focused on improving learner achievements based on learner profile. Explosive growth of distance learning has caused difficulty of locating appropriate learning objects for learner in this environment, and it becomes relatively widespread learning method for learner. In this paper, an innovative learning approach is proposed by using recommender system to address this challenge. Based on this tool, a learning model is designed to achieve personalized learning experiences by selecting and sequencing the most appropriate learning objects. Moreover, some experiments were conducted to evaluate the performance of our approach. The result reveals suitability of using recommender system in order to support online learning activities to enhance learning.

引用

页码：607 / 617

页数：11

共 54 条

[1] Finding localized associations in market basket data [J].