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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Intelligent Learning: A Bibliometric Review of AI Integration in Modern Educational Practices

Bahja A. Al-Mubarak, Hafiza Abas, Sya Azmeela Shariff

http://dx.doi.org/10.6007/IJARBSS/v14-i4/21328

Open access

The main objective of this work is to investigate the relationship between the integration of artificial intelligence in education in the pre- and post-pandemic period, as well as the apparent impact on educational practises. This bibliometric study uses the PRISMA framework to summarise works that relate the integration of artificial intelligence to contemporary educational methods. Scopus was selected for its comprehensive coverage and excellent reputation as a resource for analysing scholarly articles, as was Vosviewer for its extremely useful graph displaying data links from the database. Inclusion and exclusion criteria were used to reduce the results to 3,010 relevant publications. The inclusion of modern technologies, such as artificial intelligence, in education has become not only a trend but also an absolute necessity. This transition is reflected in the emphasis on research. The list of prominent publications, nations and groups contributing to this problem shows that they are influential worldwide. The study focuses on the most prolific authors and key research keywords, highlighting the transdisciplinary nature of research in machine learning and education. Education is no longer the same after the pandemic, as the increasing number of publications by different authors shows. Various teaching and learning methods are presented, with a focus on numerous technology-based solutions, particularly artificial intelligence applications and platforms. The publications on this topic and the keywords show how collaborative and diverse research in this area is. Continued research is essential for the design of educational techniques and the improvement of learning experiences in the context of digital platforms and artificial intelligence applications. The paper recommends more intensive research to improve digital education and learning methods. To understand, compare and improve the impact of AI applications and platforms on learning outcomes, continuous developments and techniques are needed to expand the scope of knowledge.