A bibliometric study on artificial intelligence in education for two decades

Xieling CHEN; Di ZOU; Haoran XIE; Gary CHENG; Caixia LIU

A bibliometric study on artificial intelligence in education for two decades

Xieling CHEN
, Di ZOU^*
, Haoran XIE
, Gary CHENG
, Caixia LIU

^*Corresponding author for this work

Department of Computing and Decision Sciences

Research output: Other Conference Contributions › Presentation

Abstract

Research on Artificial Intelligence in Education (AIEd) has become increasingly active during the past 20 years, with great interest, rich literature, and huge diversity. The diversity in research topics and technologies keeps increasing along with the tremendous growth in the application scope of AIEd research. A comprehensive overview of this field is necessary to understand what had been concerned in AIEd research, what is going on in the field of AIEd, and what might be the future of AIEd research.

Original language	English
Publication status	Published - 10 Nov 2020
Event	The International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020) - The Education University of Hong Kong, Tai Po, Hong Kong, China Duration: 9 Nov 2020 → 11 Nov 2020 https://www.eduhk.hk/eai/index.html https://www.eduhk.hk/eai/

Conference

Conference	The International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020)
Abbreviated title	ICEAI 2020
Country/Territory	Hong Kong, China
City	Tai Po
Period	9/11/20 → 11/11/20
Internet address	https://www.eduhk.hk/eai/index.html https://www.eduhk.hk/eai/

Keywords

artificial intelligence in education
structural topic modeling
bibliometric analysis
research topics
research evolution

Cite this

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title = "A bibliometric study on artificial intelligence in education for two decades",

abstract = "Research on Artificial Intelligence in Education (AIEd) has become increasingly active during the past 20 years, with great interest, rich literature, and huge diversity. The diversity in research topics and technologies keeps increasing along with the tremendous growth in the application scope of AIEd research. A comprehensive overview of this field is necessary to understand what had been concerned in AIEd research, what is going on in the field of AIEd, and what might be the future of AIEd research. ",

keywords = "artificial intelligence in education, structural topic modeling, bibliometric analysis, research topics, research evolution",

author = "Xieling CHEN and Di ZOU and Haoran XIE and Gary CHENG and Caixia LIU",

year = "2020",

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day = "10",

language = "English",

note = "The International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020), ICEAI 2020 ; Conference date: 09-11-2020 Through 11-11-2020",

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AU - CHEN, Xieling

AU - ZOU, Di

AU - XIE, Haoran

AU - CHENG, Gary

AU - LIU, Caixia

PY - 2020/11/10

Y1 - 2020/11/10

N2 - Research on Artificial Intelligence in Education (AIEd) has become increasingly active during the past 20 years, with great interest, rich literature, and huge diversity. The diversity in research topics and technologies keeps increasing along with the tremendous growth in the application scope of AIEd research. A comprehensive overview of this field is necessary to understand what had been concerned in AIEd research, what is going on in the field of AIEd, and what might be the future of AIEd research.

AB - Research on Artificial Intelligence in Education (AIEd) has become increasingly active during the past 20 years, with great interest, rich literature, and huge diversity. The diversity in research topics and technologies keeps increasing along with the tremendous growth in the application scope of AIEd research. A comprehensive overview of this field is necessary to understand what had been concerned in AIEd research, what is going on in the field of AIEd, and what might be the future of AIEd research.

KW - artificial intelligence in education

KW - structural topic modeling

KW - bibliometric analysis

KW - research topics

KW - research evolution

UR - https://www.eduhk.hk/eai/ICEAI2020_Proceedings.pdf

UR - https://www.eduhk.hk/eai/index.html

M3 - Presentation

T2 - The International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020)

Y2 - 9 November 2020 through 11 November 2020

ER -

A bibliometric study on artificial intelligence in education for two decades

Abstract

Conference

Keywords

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Two decades of artificial intelligence in education: Contributors, collaborations, research Topics, challenges, and future directions

Cite this