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The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling

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Emerging Technologies for Education (SETE 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11984))

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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.

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Notes

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Acknowledgements

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

Author information

Authors and Affiliations

  1. Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong SAR, China

    Xieling Chen

  2. School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China

    Dongfa Gao

  3. Guangzhou Huagong Information Software Co., LTD., Guangzhou, China

    Yonghui Lun

  4. School of Computer Science, South China Normal University, Guangzhou, China

    Dingli Zhou & Tianyong Hao

  5. Department of Computing and Decision Sciences, Lingnan University, Hong Kong SAR, China

    Haoran Xie

Authors
  1. Xieling Chen
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  2. Dongfa Gao
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  3. Yonghui Lun
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  4. Dingli Zhou
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  5. Tianyong Hao
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  6. Haoran Xie
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Corresponding authors

Correspondence to Tianyong Hao or Haoran Xie .

Editor information

Editors and Affiliations

  1. University of Craiova, Craiova, Romania

    Elvira Popescu

  2. South China Normal University, Guangzhou, China

    Tianyong Hao

  3. National Taiwan Normal University, Taipei, Taiwan

    Ting-Chia Hsu

  4. Lingnan University, Hong Kong, Hong Kong

    Haoran Xie

  5. Sapienza University of Rome, Rome, Italy

    Marco Temperini

  6. Chinese Academy of Agricultural Sciences, Beijing, China

    Wei Chen

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Chen, X., Gao, D., Lun, Y., Zhou, D., Hao, T., Xie, H. (2020). The Analysis of Worldwide Research on Artificial Intelligence Assisted User Modeling. In: Popescu, E., Hao, T., Hsu, TC., Xie, H., Temperini, M., Chen, W. (eds) Emerging Technologies for Education. SETE 2019. Lecture Notes in Computer Science(), vol 11984. Springer, Cham. https://doi.org/10.1007/978-3-030-38778-5_23

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  • DOI: https://doi.org/10.1007/978-3-030-38778-5_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38777-8

  • Online ISBN: 978-3-030-38778-5

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