• Aug 06, 2018 News! IJIET Vol. 7, No. 1-No. 8 have been indexed by EI (Inspec).   [Click]
  • Oct 10, 2018 News!Vol. 8, No. 12 issue has been published online!   [Click]
  • Sep 11, 2018 News!Vol. 8, No. 11 has been indexed by Crossref.
General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Editor-in-chief
Prof. Dr. Steve Thatcher
QUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

International Journal of Information and Education Technology

International Journal of Information and Education Technology (IJIET) is an international academic open access journal which gains a foothold in Singapore, Asia and opens to the world. It aims to promote the integration of information and education technology. The focus is to publish papers on state-of-the-art Information and Education Technology. Submitted papers will be reviewed by technical committees of the Journal and Association. The audience includes researchers, managers and operators for information and education technology as well as designers and developers.
All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed. Articles submitted to the journal should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing.
Featured Article
ULEARN: Personalized Course Learning Objects Based on Hybrid Recommendation Approach
Shaimaa M. Nafea, Francois Siewe, and Ying He
The success of e-learning systems depends on their capability to automatically retrieve and recommend relevant learning content according to the preferences of specific learner profiles. Generally, e-learning systems do not cater...[Read More]
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E-mail: ijiet@ejournal.net