Your browser doesn't support javascript.
loading
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.
Afiliação
  • Jia K; School of Management, Zhejiang University of Technology, Hangzhou, China.
  • Wang P; School of Management, Zhejiang University of Technology, Hangzhou, China.
  • Li Y; School of Cultural Creativity and Management, Communication University of Zhejiang, Hangzhou, China.
  • Chen Z; School of Economics, Zhejiang University of Technology, Hangzhou, China.
  • Jiang X; School of Economics, Zhejiang University of Technology, Hangzhou, China.
  • Lin CL; College of Science and Technology Ningbo University, Ningbo, China.
  • Chin T; School of Management, Zhejiang University of Technology, Hangzhou, China.
Front Psychol ; 13: 795039, 2022.
Article em En | MEDLINE | ID: mdl-35250730
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.
Palavras-chave

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Front Psychol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Front Psychol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China