Current and future of technologies and services in smart e-learning

Feng Tian, Qinghua Zheng, Kuo-Ming Chao

    Research output: Contribution to journalEditorial

    4 Citations (Scopus)


    Advance personalized learning is one of seventeen Grand Challenges in the twenty-first century [1]. e-Learning is a key, popular, and supportive way to achieve this task. By reviewing the history of its development, e-learning evolution process can be classified into three stages: digitalized, networked and intelligence. Currently, we are still in the intelligence stage, called smart e-learning, showing intelligent, ubiquitous, personalized, open, and collaborative trends and demanding for a close integration of artificial intelligence and big data.
    Original languageEnglish
    Pages (from-to)1-3
    Number of pages3
    JournalService Oriented Computing and Applications
    Issue number1
    Early online date22 Feb 2020
    Publication statusPublished - 1 Mar 2020

    Bibliographical note

    This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.


    National Key Research and Development Program of China under Grant No. 2018YFB1004500; the National Natural Science Foundation of China under Grant Nos. 61877048, 61472315

    ASJC Scopus subject areas

    • Software
    • Management Information Systems
    • Information Systems
    • Hardware and Architecture


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