TY - JOUR
T1 - Educational Revolution
T2 - Bibliometric Analysis of the Advancement of Artificial Intelligence in Education
AU - Bellido-García, Roberto
AU - Venturo-Orbegoso, Carlos
AU - Huaranga-Charapaqui, José
AU - Sotomayor-Concepción, Merce
AU - Rejas-Borjas, Luis Gerardo
N1 - Publisher Copyright:
© 2024 Seventh Sense Research Group®
PY - 2024/6
Y1 - 2024/6
N2 - In recent years, the adoption of Artificial Intelligence (AI) in education has grown significantly, providing innovative and personalized solutions. This paper offers a bibliometric analysis of the progress of AI in education from 2015 to 2023. The Scopus database was used to collect a total of 5,603 documents for this evaluation. The methodology included the use of the VOSviewer software and the bibliometrix package using the R language to examine publication trends, keyword networks, and identify the most productive countries, along with other relevant factors. The results highlight the predominant influence of various academic journals and institutions in research related to AI in education. In addition, countries such as China and the United States dominate research in this field, and the English language is the main language used to disseminate knowledge in the field studied. Similarly, emerging applications such as chatbots, adaptive learning systems, and educational strategy formulation systems, among others, demonstrate the diverse applications of AI in education. These findings consolidate the current state of research and provide a solid foundation for informed decisions aimed at facilitating the effective integration of AI into the 21st century educational landscape. In conclusion, this study contributes significantly to the understanding of trends and developments in the convergence of AI and education, providing valuable information for future research and strategic decisions in the contemporary educational field.
AB - In recent years, the adoption of Artificial Intelligence (AI) in education has grown significantly, providing innovative and personalized solutions. This paper offers a bibliometric analysis of the progress of AI in education from 2015 to 2023. The Scopus database was used to collect a total of 5,603 documents for this evaluation. The methodology included the use of the VOSviewer software and the bibliometrix package using the R language to examine publication trends, keyword networks, and identify the most productive countries, along with other relevant factors. The results highlight the predominant influence of various academic journals and institutions in research related to AI in education. In addition, countries such as China and the United States dominate research in this field, and the English language is the main language used to disseminate knowledge in the field studied. Similarly, emerging applications such as chatbots, adaptive learning systems, and educational strategy formulation systems, among others, demonstrate the diverse applications of AI in education. These findings consolidate the current state of research and provide a solid foundation for informed decisions aimed at facilitating the effective integration of AI into the 21st century educational landscape. In conclusion, this study contributes significantly to the understanding of trends and developments in the convergence of AI and education, providing valuable information for future research and strategic decisions in the contemporary educational field.
KW - Artificial intelligence
KW - Bibliometric analysis
KW - Chatbot
KW - Education
KW - Emerging applications
UR - http://www.scopus.com/inward/record.url?scp=85197281662&partnerID=8YFLogxK
U2 - 10.14445/22315381/IJETT-V72I6P136
DO - 10.14445/22315381/IJETT-V72I6P136
M3 - Review article
AN - SCOPUS:85197281662
SN - 2349-0918
VL - 72
SP - 409
EP - 420
JO - International Journal of Engineering Trends and Technology
JF - International Journal of Engineering Trends and Technology
IS - 6
ER -