A Systematic Literature Review with Bibliometric Meta-Analysis of AI Technology Adoption in Education
DOI:
https://doi.org/10.37134/ejsmt.vol9.sp.7.2022Keywords:
Artificial Intelligence, Bibliometric, Meta-Analysis, Systematic Literature Review, Technology adoptionAbstract
Education has undergone various developments and changes according to the current world circulation and the development of technology and science. Moreover, Covid-19 has emphasized the significance of technology in education. The use of technology in education increases collaboration among students and helps in academic achievement. The use of Artificial Intelligent (AI) has become a trend in 21st-century education in providing learning aids that are technological and digital. The purpose of this systematic survey is to identify peer-reviewed literature on the adoption of Artificial Intelligent (AI) in education among educators. Scopus, Web of Science, and IEEE citation databases are used in the data-gathering phase. PRISMA approach and keyword search were extracted and analyzed. This bibliographic data of articles published in the journals over the seven years were extracted. VOS viewer was used to analyzing the data contained in all journals. The findings show that studies are showing the use and acceptance of Ai technology in education. It also shows that using this technology has a positive effect on mastering a subject among students. However, there is still room to optimize its usability in education, which is currently in the 4.0 education shift in line with the development of the Industrial Revolution (IR) 4.0.
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