• Aug 06, 2018 News! IJIET Vol. 7, No. 1-No. 8 have been indexed by EI (Inspec).   [Click]
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  • Dec 28, 2018 News!Vol. 9, No. 1 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
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.

IJIET 2018 Vol.8(1): 77-80 ISSN: 2010-3689
doi: 10.18178/ijiet.2018.8.1.1016

Research on Innovative Training Mode of Chinese Academic Postgraduates

G. L. Liu
Abstract—In today’s society, Chinese academic postgraduates are required to have not only technological capabilities, but also good personal credit, vocational abilities and the high professional qualities to take complete charge by fast learning. However, the traditional training mode of Chinese academic postgraduates has not been effectively combined with students’ future careers. As a result, it is hard for the postgraduates to meet actual needs of job markets. The arrival of the era of big data provides an unprecedented opportunity for innovative training of Chinese academic postgraduates. In this paper, an innovative training mode guided by vocational abilities is proposed based on big data analysis to improve the competitiveness of Chinese academic postgraduates in talent markets. Firstly, honesty education should be strengthened. Secondly, advanced teaching methods based on big data analysis should be introduced. Thirdly, the design of individualized vocational ability training programs should be supplied for each academic postgraduate based upon the data statistics and analysis of graduates’ information. Finally, behavior analysis based on big data should be used to provide early warning of mental health problems for postgraduates.

Index Terms—Big data, Chinese academic postgraduate, training mode.

G. L. Liu is with School of Science, University of Science and Technology Liaoning, Anshan, Liaoning, 114051 China (e-mail: lg_li1978@126.com).


Cite: G. L. Liu, "Research on Innovative Training Mode of Chinese Academic Postgraduates," International Journal of Information and Education Technology vol. 8, no. 1, pp. 77-80, 2018.

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