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A Multifactorial Analysis of the Acceptance of Recommender System for Saudi Universities the Literature Revisited

Hadeel Alharbi, Kamaljeet Sandhu

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Abstract

Technology for learning is increasingly about enhancing users' interactions with the technology to improve learning outcomes. Of particular importance however to improving educational outcomes is the need to complement the technological advancements with advances in the educational practices of teachers to broaden the uptake of new technologies for learning. Recommender Systems are personalised services that aim to predict a learner's interest in some services or items such as courses, grades, references, links, etc. available in e-learning applications and to provide appropriate recommendations. Such systems can potentially enhance student learning by providing students with a more hands on, interactive and tailored learning experience.
Original languageEnglish
Title of host publicationDesign Solutions for User-Centric Information Systems
EditorsSaqib Saeed, Yasser A Bamarouf, T Ramayah, Sardar Z Iqbal
Place of PublicationHershey, United States of America
PublisherInformation Science Reference
Pages90-105
Edition1
ISBN (Print)9781522519447
Publication statusPublished - 2017

Publication series

NameAdvances in Human and Social Aspects of Technology (AHSAT)
ISSN (Print)2328-1316
ISSN (Electronic)2328-1324

Keywords

  • Information Systems Organisation
  • Information Systems Theory
  • Information Systems Management

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