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. Copyright © 2020 Springer Nature Switzerland AG.
|Title of host publication||Emerging technologies for education: 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|
|Place of Publication||Cham|
|Publication status||Published - 2020|
CitationChen, X., Gao, D., Lun, Y., Zhou, D., 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, Magdeburg, Germany, September 23–25, 2019, Revised Selected Papers (pp. 201-213). Cham: Springer.
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