Article Details

Title · Authors · Abstract · Keywords · DOI · References

Visual Analysis of Core Journals in Educational Data Mining

CHEN Sitian, XU Xinhua, XIAO Pingsheng, HU Zihang, WU Yue

(School of Artificial Intelligence and Computer Science, Hubei Normal University, Huangshi 435002, China)

Section：Information Application · Vol. 2026, Issue 1 · Pages：138-143,148 · 2096-4706（2026）01-0138-07 · CLC number：TP391.4 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2026.01.026

Abstract

This study focuses on the field of Educational Data Mining (EDM) and uses CiteSpace software to conduct visual analysis of relevant literature from 2014 to 2025. Research results show that the field of EDM begins to receive attention in 2014, the number of research results increases significantly from 2015 to 2017, and shows a fluctuating downward trend after reaching a peak in 2017. The research hotspots in this field cover learning analytics, Big Data, Machine Learning, Deep Learning, and other directions, reflecting the characteristics of interdisciplinarity and strong comprehensiveness. However, the sustainability of research hotspots is relatively low, and while the research breadth continues to expand, the depth needs to be strengthened. From the perspective of scholar distribution, research activities in the field of EDM are mainly dominated by experts in educational technology, and the overall research force is relatively scattered. In terms of institution distribution, high-yielding research institutions are mostly normal universities, and cooperation between institutions is scarce. This study aims to provide a reference for the future development of the field of EDM.

Keywords

EDM; core journal; visual analysis; CiteSpace; research hotspot

References

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About the authors

Chen Sitian (April 2001-), female, Han ethnicity, from Huanggang, Hubei, master's student, research interests include educational big data.