Scientometric Analysis of Smart Learning

被引:9
作者
Kaur, Avneet [1 ]
Bhatia, Munish [2 ]
机构
[1] Lovely Profess Univ, Sch Comp Sci & Engn, Phagwara 144001, Punjab, India
[2] Lovely Profess Univ, Dept Comp Sci & Engn, Phagwara 144001, Punjab, India
关键词
Education; Bibliometrics; Performance evaluation; Market research; Tools; Databases; Cloud computing; Information and communication technologies (ICT); internet of things (IoT); smart education; VOSviewer; web of science (WoS); ICT; INTERNET; INTEGRATION; MANAGEMENT; EDUCATION; FUTURE; SYSTEM; TRENDS; IOT;
D O I
10.1109/TEM.2021.3124977
中图分类号
F [经济];
学科分类号
02 ;
摘要
Research and development frequently proceed based on words and phrases. New ideas are introduced to outline developments often with definitions. The word smart education was introduced to describe an advancement in technology-enhancing education. Moreover, the developments in information and communication technology have accelerated global efforts toward the idea of smart education. Over the past few years, the growing interest and popularity of smart education across countries have resulted in a significant number of research contributions. Henceforth, the significant of current research involves the comprehensive analysis of the academic structure and development, which can be assessed through quantitative methods. The current article provides a two-dimensional scientometric analysis of smart education literature from the context of educational and research areas. Specifically, it is based on broad bibliographic data obtained from web of science for the period 2010-2021. The current research presents detailed insights into the smart learning environment for publishing trends, citing trends, cooccurrence evaluation of keywords, and technical innovations. Moreover, it gives a comprehensive understanding of academic developments, and structure for future directives and collaborations in the area of smart learning and academic research.
引用
收藏
页码:400 / 413
页数:14
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