SynthesisFrontiers in big data2026
AI applied to Saudi Arabia higher education: systematic literature review-SLR with PRISMA and VOSviewer.
Synthesis in Frontiers in big data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study explored the role of artificial intelligence in higher education in Saudi Arabia. It aims to identify trends, key contributors, influential papers, collaborations, and important research areas from January 2022 to February 2026 to guide future research. The researchers used bibliometric and content analyses. This combined quantitative descriptive methods and network analysis with qualitative content analysis of the most-cited articles. They extracted data from Scopus and the Web of Science, resulting in 66 documents after removing duplicates, editorials, and notes. The analytical techniques included the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), co-word analysis, citation analysis, co-authorship analysis, and bibliographic coupling. VOSviewer supported the visualization. The key findings show that King Abdulaziz University, Qassim University, and King Saud University are the top contributors. A total of 52 papers have been published in journals indexed by WOS and Scopus, while 14 papers are indexed only by Scopus. Additionally, five major groups revealed significant correlations among various word pairs: High-education, Artificial intelligence, AI Chatbot, learning systems, and ChatGPT. The leading journals include Sustainability, Acta Psychological, and Systems, with notable authors such as Al-Harbi. Content analysis highlights the potential of AI to improve learning, boost administrative efficiency, and drive innovation in Saudi Arabia. This study offers practical recommendations for students, universities, and policy makers. This study has several limitations that should be addressed in future studies.
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.