ArticleFrontiers in psychology2022
Research Landscape of Artificial Intelligence and e-Learning: A Bibliometric Research.
Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Identifying Research Priorities in Digital Education for Health Care: Umbrella Review and Modified Delphi Method Study.Journal of medical Internet research · 2025Pooled it
- AI in phishing detection: a bibliometric review.Frontiers in artificial intelligence · 2025Pooled it
- Research trends in the field of the gut-brain interaction: Functional dyspepsia in the spotlight - An integrated bibliometric and science mapping approach.Frontiers in neuroscience · 2023Review
- Roles and Research Trends of Neuroscience on Major Information Systems Journal: A Bibliometric and Content Analysis.Frontiers in neuroscience · 2022Article
- Integration of Neuroscience and Entrepreneurship: A Systematic Review and Bibliometric Analysis.Frontiers in psychology · 2022Review
- A study of cross-border E-commerce research trends: Based on knowledge mapping and literature analysis.Frontiers in psychology · 2022Article
- Knowledge Mapping of Volunteer Motivation: A Bibliometric Analysis and Cross-Cultural Comparative Study.Frontiers in psychology · 2022Article
- Bibliometric-Based Evaluation of the Neuromarketing Research Trend: 2010-2021.Frontiers in psychology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.