A Data Mining Approach to Artificial Intelligence and Education

Conference: The Asian Conference on Education (ACE2022)
Title: A Data Mining Approach to Artificial Intelligence and Education
Stream: Design, Implementation & Assessment of Innovative Technologies in Education
Presentation Type: Oral Presentation
Authors:
Krizia Magallanes, Ewha Womans University, South Korea
Catherine Joy Escuadra, Ewha Womans University, South Korea
Jae Young Chung, Ewha Womans University, South Korea
Sunbok Lee, Ewha Womans University, South Korea

Abstract:

Artificial intelligence (AI) has been gaining prominence in the field of education for its continuous developments in various teaching tools and applications. It has simultaneously led to an increase in research studies and continuous contributions to the development of AI. To discover the research trends surrounding AI and Education in order to know the evolving research focus and AI development. This research analyzes the abstract data retrieved from the Web of Science and Scopus using the keywords “Artificial Intelligence” and “Education”. The semantic patterns and development of research themes were done by checking the pre-processing, word frequency and co-occurrence analysis, topic modeling, and trend analysis using various R program packages. A total of 2045 publications were used from the 2 databases. Nine topics with "Learning environment", "Intelligent Tutoring Systems" and "Educational Management Information System" as the top 3 emerging research topics and “Digital Learning”, “Health Education” and "Expert Systems" as the least researched topics. Except for "Health Education" and "Expert Systems", both having a coefficient of (p 0.07), showed an increasingly significant trend (p<0.05) from 1974 to 2022. This study implies that the current focus of AI and education studies is on the advancement of education through bridging the gap between technology and learning, and its assistance to students’ needs. The analysis showed that developing the school environment and improving the learning pedagogy using technology is essential in improving students’ knowledge and adaptability to AI.



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