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

Feng Tian; Qinghua Zheng; Kuo-Ming Chao

doi:10.1007/s11761-020-00288-9

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

Feng Tian, Qinghua Zheng, Kuo-Ming Chao

Xi’an Jiaotong University

Research output: Contribution to journal › Editorial

5 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	1-3
Number of pages	3
Journal	Service Oriented Computing and Applications
Volume	14
Issue number	1
Early online date	22 Feb 2020
DOIs	https://doi.org/10.1007/s11761-020-00288-9
Publication status	Published - 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.

Funder

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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10.1007/s11761-020-00288-9

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

Abstract

Bibliographical note

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ASJC Scopus subject areas

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