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PLORS: a personalized learning object recommender system
Hazra Imran
, Mohammad Belghis-Zadeh
, Ting-Wen Chang
, Kinshuk
,
Sabine Graf
School of Computing and Information systems
Research output
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Contribution to journal
›
Journal Article
›
peer-review
Overview
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Keyphrases
Personalized Learning
100%
Learning Objects
100%
Recommender Systems
100%
Learning Management System
42%
Learner Profile
42%
Personalization
28%
Individual Learners
28%
Online Courses
14%
Learning Styles
14%
One-size-fits-all
14%
Learner Needs
14%
Learning Performance
14%
Learning Quality
14%
Learner Performance
14%
Learner Satisfaction
14%
System Recommender
14%
Knowledge Interests
14%
Knowledgeability
14%
System Support
14%
Needs-based
14%
Prior Ability
14%
Computer Science
Learning Objects
100%
Recommender Systems
100%
Learner Profile
42%
Individual Learner
28%
Learning Style
14%
Learning Performance
14%