The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling

Xieling CHEN; Dongfa GAO; Yonghui LUN; Tianyong HAO; Haoran XIE

doi:10.1007/978-3-030-38778-5_23

The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling

Xieling CHEN, Dongfa GAO, Yonghui LUN, Tianyong HAO, Haoran XIE

Department of Computing and Decision Sciences

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

2 Citations (Scopus)

Abstract

Information and communication technologies is being heralded as a catalyst for educational innovations. Artificial intelligence (AI) assisted user modeling has attracted great increasing interests from the academia with a growing research articles available. In this article, a bibliometric analysis of scientific literature concerning AI assisted user modeling was carried out. 333 articles from Web of Science were retrieved and analyzed to comprehensively understand trends and developments of the research field. Specifically, we analyzed the articles in terms of article count and citation count, influential journals, subjects, authors, and keyword occurrence. Finally, special attention was paid to the study of leading countries/regions and institutions. Findings of this work are useful in helping scholars as well as practitioners better understand the development trend of research of AI assisted user modeling, as well as being more aware of the research hotspots.

Original language	English
Title of host publication	Emerging Technologies for Education - 4th International Symposium, SETE 2019, held in Conjunction with ICWL 2019, Revised Selected Papers
Subtitle of host publication	4th International Symposium, SETE 2019, Held in Conjunction with ICWL 2019, Magdeburg, Germany, September 23–25, 2019, Revised Selected Papers
Editors	Elvira POPESCU, Tianyong HAO, Ting-Chia HSU, Haoran XIE, Marco TEMPERINI, Wei CHEN
Publisher	Springer, Cham
Chapter	23
Pages	201-213
Number of pages	13
ISBN (Electronic)	9783030387785
ISBN (Print)	9783030387778
DOIs	https://doi.org/10.1007/978-3-030-38778-5_23
Publication status	Published - Feb 2020
Event	The 4th International Symposium on Emerging Technologies for Education - Magdeburg, Germany Duration: 23 Sept 2019 → 25 Sept 2019 http://icwl-sete.org/2019/cfp.html

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11984 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Symposium

Symposium	The 4th International Symposium on Emerging Technologies for Education
Abbreviated title	SETE 2019
Country/Territory	Germany
City	Magdeburg
Period	23/09/19 → 25/09/19
Internet address	http://icwl-sete.org/2019/cfp.html

Bibliographical note

This work was supported by National Natural Science Foundation of China (No.61772146).

Keywords

Artificial intelligence
Bibliometric analysis
Research hotspots
Topic evolution
User modeling

Access to Document

10.1007/978-3-030-38778-5_23

http://link.springer.com/10.1007/978-3-030-38778-5_23

Cite this

CHEN, X., GAO, D., LUN, Y., HAO, T., & XIE, H. (2020). The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling. In E. POPESCU, T. HAO, T.-C. HSU, H. XIE, M. TEMPERINI, & W. CHEN (Eds.), Emerging Technologies for Education - 4th International Symposium, SETE 2019, held in Conjunction with ICWL 2019, Revised Selected Papers: 4th International Symposium, SETE 2019, Held in Conjunction with ICWL 2019, Magdeburg, Germany, September 23–25, 2019, Revised Selected Papers (pp. 201-213). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11984 LNCS). Springer, Cham. https://doi.org/10.1007/978-3-030-38778-5_23

CHEN, Xieling ; GAO, Dongfa ; LUN, Yonghui et al. / The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling. Emerging Technologies for Education - 4th International Symposium, SETE 2019, held in Conjunction with ICWL 2019, Revised Selected Papers: 4th International Symposium, SETE 2019, Held in Conjunction with ICWL 2019, Magdeburg, Germany, September 23–25, 2019, Revised Selected Papers. editor / Elvira POPESCU ; Tianyong HAO ; Ting-Chia HSU ; Haoran XIE ; Marco TEMPERINI ; Wei CHEN. Springer, Cham, 2020. pp. 201-213 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling",

abstract = "Information and communication technologies is being heralded as a catalyst for educational innovations. Artificial intelligence (AI) assisted user modeling has attracted great increasing interests from the academia with a growing research articles available. In this article, a bibliometric analysis of scientific literature concerning AI assisted user modeling was carried out. 333 articles from Web of Science were retrieved and analyzed to comprehensively understand trends and developments of the research field. Specifically, we analyzed the articles in terms of article count and citation count, influential journals, subjects, authors, and keyword occurrence. Finally, special attention was paid to the study of leading countries/regions and institutions. Findings of this work are useful in helping scholars as well as practitioners better understand the development trend of research of AI assisted user modeling, as well as being more aware of the research hotspots.",

keywords = "Artificial intelligence, Bibliometric analysis, Research hotspots, Topic evolution, User modeling",

author = "Xieling CHEN and Dongfa GAO and Yonghui LUN and Tianyong HAO and Haoran XIE",

note = "This work was supported by National Natural Science Foundation of China (No.61772146).; The 4th International Symposium on Emerging Technologies for Education, SETE 2019 ; Conference date: 23-09-2019 Through 25-09-2019",

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doi = "10.1007/978-3-030-38778-5_23",

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CHEN, X, GAO, D, LUN, Y, HAO, T & XIE, H 2020, The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling. in E POPESCU, T HAO, T-C HSU, H XIE, M TEMPERINI & W CHEN (eds), Emerging Technologies for Education - 4th International Symposium, SETE 2019, held in Conjunction with ICWL 2019, Revised Selected Papers: 4th International Symposium, SETE 2019, Held in Conjunction with ICWL 2019, Magdeburg, Germany, September 23–25, 2019, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11984 LNCS, Springer, Cham, pp. 201-213, The 4th International Symposium on Emerging Technologies for Education, Magdeburg, Germany, 23/09/19. https://doi.org/10.1007/978-3-030-38778-5_23

The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling. / CHEN, Xieling; GAO, Dongfa; LUN, Yonghui et al.
Emerging Technologies for Education - 4th International Symposium, SETE 2019, held in Conjunction with ICWL 2019, Revised Selected Papers: 4th International Symposium, SETE 2019, Held in Conjunction with ICWL 2019, Magdeburg, Germany, September 23–25, 2019, Revised Selected Papers. ed. / Elvira POPESCU; Tianyong HAO; Ting-Chia HSU; Haoran XIE; Marco TEMPERINI; Wei CHEN. Springer, Cham, 2020. p. 201-213 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11984 LNCS).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling

AU - CHEN, Xieling

AU - GAO, Dongfa

AU - LUN, Yonghui

AU - HAO, Tianyong

AU - XIE, Haoran

N1 - This work was supported by National Natural Science Foundation of China (No.61772146).

PY - 2020/2

Y1 - 2020/2

N2 - Information and communication technologies is being heralded as a catalyst for educational innovations. Artificial intelligence (AI) assisted user modeling has attracted great increasing interests from the academia with a growing research articles available. In this article, a bibliometric analysis of scientific literature concerning AI assisted user modeling was carried out. 333 articles from Web of Science were retrieved and analyzed to comprehensively understand trends and developments of the research field. Specifically, we analyzed the articles in terms of article count and citation count, influential journals, subjects, authors, and keyword occurrence. Finally, special attention was paid to the study of leading countries/regions and institutions. Findings of this work are useful in helping scholars as well as practitioners better understand the development trend of research of AI assisted user modeling, as well as being more aware of the research hotspots.

AB - Information and communication technologies is being heralded as a catalyst for educational innovations. Artificial intelligence (AI) assisted user modeling has attracted great increasing interests from the academia with a growing research articles available. In this article, a bibliometric analysis of scientific literature concerning AI assisted user modeling was carried out. 333 articles from Web of Science were retrieved and analyzed to comprehensively understand trends and developments of the research field. Specifically, we analyzed the articles in terms of article count and citation count, influential journals, subjects, authors, and keyword occurrence. Finally, special attention was paid to the study of leading countries/regions and institutions. Findings of this work are useful in helping scholars as well as practitioners better understand the development trend of research of AI assisted user modeling, as well as being more aware of the research hotspots.

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KW - Research hotspots

KW - Topic evolution

KW - User modeling

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DO - 10.1007/978-3-030-38778-5_23

M3 - Conference paper (refereed)

SN - 9783030387778

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Emerging Technologies for Education - 4th International Symposium, SETE 2019, held in Conjunction with ICWL 2019, Revised Selected Papers

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PB - Springer, Cham

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Y2 - 23 September 2019 through 25 September 2019

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CHEN X, GAO D, LUN Y, HAO T, XIE H. The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling. In POPESCU E, HAO T, HSU TC, XIE H, TEMPERINI M, CHEN W, editors, Emerging Technologies for Education - 4th International Symposium, SETE 2019, held in Conjunction with ICWL 2019, Revised Selected Papers: 4th International Symposium, SETE 2019, Held in Conjunction with ICWL 2019, Magdeburg, Germany, September 23–25, 2019, Revised Selected Papers. Springer, Cham. 2020. p. 201-213. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2020 Feb 15. doi: 10.1007/978-3-030-38778-5_23

The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling

Abstract

Publication series

Symposium

Bibliographical note

Keywords

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