Artificial Intelligence in Education Research During 2013–2023: A Review Based on Bibliometric Analysis

• In Event: Sunday Roundtable 9:45 am
  In Roundtable Session: Looking Back to Move Forward: Reviews on Advanced Technologies for Learning (Table 5)

Abstract

Research on Artificial Intelligence in Education (AIED) has rapidly progressed in recent years, and understanding the research trends and development is essential for technological innovations and implementations in education. Using a bibliometric analysis of 6843 publications from WoS and Scopus, we found that AIED research is concerned more with higher education compared to K-12 education. Research has primarily leveraged technologies of machine learning, decision trees, deep learning, speech recognition, and computer vision in AIED. The major implementations of AI include educational robots, adaptive learning, automated grading, recommender systems, learning analytics, and intelligent tutoring system. Among the implementations, a majority of AIED research was conducted in STEM and language disciplines, with a focus on computer science and English education.

Authors

• Shuchen Guo, Nanjing Normal University

• Xiaoming Zhai, University of Georgia

• Yuanyuan Zheng