An e-learning recommendation approach based on the self-organization of learning resource

S Wan, Z Niu - Knowledge-Based Systems, 2018 - Elsevier
In e-learning, most content-based (CB) recommender systems provide recommendations
depending on matching rules between learners and learning objects (LOs). Such learner …

PLORS: a personalized learning object recommender system

H Imran, M Belghis-Zadeh, TW Chang, Kinshuk… - Vietnam Journal of …, 2016 - Springer
Learning management systems (LMS) are typically used by large educational institutions
and focus on supporting instructors in managing and administrating online courses …

Learning materials recommendation using good learners' ratings and content-based filtering

KI Ghauth, NA Abdullah - Educational technology research and …, 2010 - Springer
The enormity of the amount of learning materials in e-learning has led to the difficulty of
locating suitable learning materials for a particular learning topic, creating the need for …

A proposed semantic recommendation system for e-learning: A rule and ontology based e-learning recommendation system

S Shishehchi, SY Banihashem… - 2010 international …, 2010 - ieeexplore.ieee.org
With proliferation of learning contents on the web, finding suitable ones has become a very
difficult and complicated task for online learners, to achieve better performance …

An intelligent expert system for academic advising utilizing fuzzy logic and semantic web technologies for smart cities education

O Iatrellis, E Stamatiadis, N Samaras… - Journal of Computers in …, 2023 - Springer
Abstract Students attending Higher Education Institutions (HEIs) are faced with a variety of
complex decisions and procedures. To provide students with more sustained and …

A hybrid attribute–based recommender system for e–learning material recommendation

M Salehi, IN Kmalabadi - Ieri Procedia, 2012 - Elsevier
Recommendation system is a significant part of e–learning systems for personalization and
recommendation of appropriate materials to the learner. However, in the existing …

The effect of incorporating good learners' ratings in e-Learning content-based recommender System

KI Ghauth, NA Abdullah - Journal of Educational Technology & Society, 2011 - JSTOR
One of the anticipated challenges of today's e-learning is to solve the problem of
recommending from a large number of learning materials. In this study, we introduce a novel …

Measuring learner's performance in e-learning recommender systems

KI Ghauth, NA Abdullah - Australasian Journal of Educational …, 2010 - ajet.org.au
A recommender system is a piece of software that helps users to identify the most interesting
and relevant learning items from a large number of items. Recommender systems may be …

Building an e-learning recommender system using vector space model and good learners average rating

KIB Ghauth, NA Abdullah - 2009 Ninth IEEE International …, 2009 - ieeexplore.ieee.org
An enormous amount of learning materials in e-learning has led to the difficulty on locating
suitable learning materials for a particular learning topic, creating the need for content …

The Effect of Contextual Information as an Additional Feature in the Recommendation System.

DF Murad, SA Murad, M Irsan - Journal of Educators Online, 2023 - ERIC
This study discusses the use of an online learning recommendation system as a smart
solution related to changing the face-to-face learning process to online. This study uses user …