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Research Landscape of Artificial Intelligence and e-Learning: A Bibliometric Research
While an increasing number of organizations have introduced artificial intelligence as an important facilitating tool for learning online, the application of artificial intelligence in e-learning has become a hot topic for research in recent years. Over the past few decades, the importance of online...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889112/ https://www.ncbi.nlm.nih.gov/pubmed/35250730 http://dx.doi.org/10.3389/fpsyg.2022.795039 |
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author | Jia, Kan Wang, Penghui Li, Yang Chen, Zezhou Jiang, Xinyue Lin, Chien-Liang Chin, Tachia |
author_facet | Jia, Kan Wang, Penghui Li, Yang Chen, Zezhou Jiang, Xinyue Lin, Chien-Liang Chin, Tachia |
author_sort | Jia, Kan |
collection | PubMed |
description | While an increasing number of organizations have introduced artificial intelligence as an important facilitating tool for learning online, the application of artificial intelligence in e-learning has become a hot topic for research in recent years. Over the past few decades, the importance of online learning has also been a concern in many fields, such as technological education, STEAM, AR/VR apps, online learning, amongst others. To effectively explore research trends in this area, the current state of online learning should be understood. Systematic bibliometric analysis can address this problem by providing information on publishing trends and their relevance in various topics. In this study, the literary application of artificial intelligence combined with online learning from 2010 to 2021 was analyzed. In total, 64 articles were collected to analyze the most productive countries, universities, authors, journals and publications in the field of artificial intelligence combined with online learning using VOSviewer through WOS data collection. In addition, the mapping of co-citation and co-occurrence was explored by analyzing a knowledge map. The main objective of this study is to provide an overview of the trends and pathways in artificial intelligence and online learning to help researchers understand global trends and future research directions. |
format | Online Article Text |
id | pubmed-8889112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88891122022-03-03 Research Landscape of Artificial Intelligence and e-Learning: A Bibliometric Research Jia, Kan Wang, Penghui Li, Yang Chen, Zezhou Jiang, Xinyue Lin, Chien-Liang Chin, Tachia Front Psychol Psychology While an increasing number of organizations have introduced artificial intelligence as an important facilitating tool for learning online, the application of artificial intelligence in e-learning has become a hot topic for research in recent years. Over the past few decades, the importance of online learning has also been a concern in many fields, such as technological education, STEAM, AR/VR apps, online learning, amongst others. To effectively explore research trends in this area, the current state of online learning should be understood. Systematic bibliometric analysis can address this problem by providing information on publishing trends and their relevance in various topics. In this study, the literary application of artificial intelligence combined with online learning from 2010 to 2021 was analyzed. In total, 64 articles were collected to analyze the most productive countries, universities, authors, journals and publications in the field of artificial intelligence combined with online learning using VOSviewer through WOS data collection. In addition, the mapping of co-citation and co-occurrence was explored by analyzing a knowledge map. The main objective of this study is to provide an overview of the trends and pathways in artificial intelligence and online learning to help researchers understand global trends and future research directions. Frontiers Media S.A. 2022-02-16 /pmc/articles/PMC8889112/ /pubmed/35250730 http://dx.doi.org/10.3389/fpsyg.2022.795039 Text en Copyright © 2022 Jia, Wang, Li, Chen, Jiang, Lin and Chin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Jia, Kan Wang, Penghui Li, Yang Chen, Zezhou Jiang, Xinyue Lin, Chien-Liang Chin, Tachia Research Landscape of Artificial Intelligence and e-Learning: A Bibliometric Research |
title | Research Landscape of Artificial Intelligence and e-Learning: A Bibliometric Research |
title_full | Research Landscape of Artificial Intelligence and e-Learning: A Bibliometric Research |
title_fullStr | Research Landscape of Artificial Intelligence and e-Learning: A Bibliometric Research |
title_full_unstemmed | Research Landscape of Artificial Intelligence and e-Learning: A Bibliometric Research |
title_short | Research Landscape of Artificial Intelligence and e-Learning: A Bibliometric Research |
title_sort | research landscape of artificial intelligence and e-learning: a bibliometric research |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889112/ https://www.ncbi.nlm.nih.gov/pubmed/35250730 http://dx.doi.org/10.3389/fpsyg.2022.795039 |
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