Jia Kan, Wang Penghui, Li Yang, Chen Zezhou, Jiang Xinyue, Lin Chien-Liang, Chin Tachia
School of Management, Zhejiang University of Technology, Hangzhou, China.
School of Cultural Creativity and Management, Communication University of Zhejiang, Hangzhou, China.
Front Psychol. 2022 Feb 16;13:795039. doi: 10.3389/fpsyg.2022.795039. eCollection 2022.
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.
虽然越来越多的组织已将人工智能作为在线学习的重要辅助工具引入，但近年来人工智能在电子学习中的应用已成为一个热门研究话题。在过去几十年里，在线学习的重要性在许多领域也受到关注，如技术教育、STEAM、AR/VR应用程序、在线学习等等。为了有效探索该领域的研究趋势，应了解在线学习的现状。系统的文献计量分析可以通过提供出版趋势及其在各个主题中的相关性信息来解决这个问题。在本研究中，分析了2010年至2021年人工智能与在线学习的文献应用情况。总共收集了64篇文章，通过WOS数据收集，使用VOSviewer分析人工智能与在线学习领域中生产力最高的国家、大学、作者、期刊和出版物。此外，通过分析知识图谱探索了共被引和共现的映射关系。本研究的主要目的是概述人工智能与在线学习的趋势和路径，以帮助研究人员了解全球趋势和未来研究方向。
