Analysis of Worldwide Research Trends on the Impact of Artificial Intelligence in Education
Seungsu Paek and
Namhyoung Kim
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Seungsu Paek: Graduate School of Education, Gachon University, 1342 Seongnam-daero, Sujung-gu, Seongnam-si 13120, Gyeonggi-do, Korea
Namhyoung Kim: Department of Applied Statistics, Gachon University, 1342 Seongnam-daero, Sujung-gu, Seongnam-si 13120, Gyeonggi-do, Korea
Sustainability, 2021, vol. 13, issue 14, 1-20
Abstract:
In today’s world, artificial intelligence (AI) and human intelligence coexist, and no field is free from the impact of AI. At present, education cannot be discussed without mentioning AI, which has an omnidirectional impact on all its areas, including the purpose, content, method, and evaluation system. This study aimed to explore the future direction of education by examining the current impact and predicting future impacts of AI. It also examined research trends and collaboration status by country through network analysis, topic modeling and global research trends in AI in education (AIED), by applying the Latent Dirichlet Allocation algorithm. Over the past 20 years, the number of papers on AIED has steadily increased, with a dramatic rise since 2015. The research can be broadly classified into eight topics, including “changes in the content of teaching and learning.” Using a linear regression model, three hot topics, two cold topics and trend changes for each research topic were identified. The study found that AIED research should be more thematically diversified and in-depth; this directly applies AI algorithms and technologies to education, which should be further promoted. This study provides a reference for exploring the direction of future AIED research.
Keywords: artificial intelligence; artificial intelligence in education (AIED); deep learning; machine learning; research trends; topic modeling; Latent Dirichlet Allocation (LDA); network analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:14:p:7941-:d:595337
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