The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling

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

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

2 Citations (Scopus)


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 languageEnglish
Title of host publicationEmerging Technologies for Education - 4th International Symposium, SETE 2019, held in Conjunction with ICWL 2019, Revised Selected Papers
Subtitle of host publication4th International Symposium, SETE 2019, Held in Conjunction with ICWL 2019, Magdeburg, Germany, September 23–25, 2019, Revised Selected Papers
EditorsElvira POPESCU, Tianyong HAO, Ting-Chia HSU, Haoran XIE, Marco TEMPERINI, Wei CHEN
PublisherSpringer, Cham
Number of pages13
ISBN (Electronic)9783030387785
ISBN (Print)9783030387778
Publication statusPublished - Feb 2020
EventThe 4th International Symposium on Emerging Technologies for Education - Magdeburg, Germany
Duration: 23 Sept 201925 Sept 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11984 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


SymposiumThe 4th International Symposium on Emerging Technologies for Education
Abbreviated titleSETE 2019
Internet address

Bibliographical note

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


  • Artificial intelligence
  • Bibliometric analysis
  • Research hotspots
  • Topic evolution
  • User modeling


Dive into the research topics of 'The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling'. Together they form a unique fingerprint.

Cite this