TY - GEN
T1 - Artificial Intelligence and Positive Change inorganizational Learning Environment between 2010-2021
T2 - 9th International Conference on e-Society, e-Learning and e-Technologies, ICSLT 2023
AU - Shubina, Ivanna
AU - Kwiatek, Piotr
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/6/9
Y1 - 2023/6/9
N2 - The development of Artificial Intelligence (AI) in learning atorganizational conditions has been enhanced significantly during the past decade. Thus, to investigate how research on those techniques is reflected in the current literature, the authors planned various research settings for current and further studies. This bibliometric study aims to explore the scientific patterns of AI and its positive change in anorganizational learning environment and analyze the findings to suggest further studies in an emerging research field. The patterns, trends, associations, and scientific developments have been explored with the help software. A total of 85 relevant studies were found in the research domains and were retrieved with the LENS software. Most of the papers were written in the English by 100 authors from 29 different countries. The three top countries leading in citations productivity are United Kingdom, United Stated and Australia. Descriptive characteristics of the publications show a significant increase in their numbers with noticeable prevalence of psychology and social psychology fields of study. The main contribution of the findings indicates that the appliance of AI in a learning environment enhances the positive change among individuals, reduces the resistance for change, and improves life skills and competences. The current study will be useful for researchers to obtain an overview of the publication trends in research domains for planning and conducting further studies, and it shows the potential gaps in those fields.
AB - The development of Artificial Intelligence (AI) in learning atorganizational conditions has been enhanced significantly during the past decade. Thus, to investigate how research on those techniques is reflected in the current literature, the authors planned various research settings for current and further studies. This bibliometric study aims to explore the scientific patterns of AI and its positive change in anorganizational learning environment and analyze the findings to suggest further studies in an emerging research field. The patterns, trends, associations, and scientific developments have been explored with the help software. A total of 85 relevant studies were found in the research domains and were retrieved with the LENS software. Most of the papers were written in the English by 100 authors from 29 different countries. The three top countries leading in citations productivity are United Kingdom, United Stated and Australia. Descriptive characteristics of the publications show a significant increase in their numbers with noticeable prevalence of psychology and social psychology fields of study. The main contribution of the findings indicates that the appliance of AI in a learning environment enhances the positive change among individuals, reduces the resistance for change, and improves life skills and competences. The current study will be useful for researchers to obtain an overview of the publication trends in research domains for planning and conducting further studies, and it shows the potential gaps in those fields.
KW - artificial intelligence
KW - bibliometric study
KW - organizational learning environment
KW - positive change
UR - http://www.scopus.com/inward/record.url?scp=85182742366&partnerID=8YFLogxK
U2 - 10.1145/3613944.3613948
DO - 10.1145/3613944.3613948
M3 - Conference contribution
AN - SCOPUS:85182742366
T3 - ACM International Conference Proceeding Series
SP - 22
EP - 28
BT - ICSLT 2023 - 2023 9th International Conference on e-Society, e-Learning and e-Technologies
PB - Association for Computing Machinery
Y2 - 9 June 2023 through 11 June 2023
ER -