A Comprehensive Bibliometric Analysis of Learning Analytics in Education Research

Author:

Ergul Sonmez EsraORCID

Abstract

The purpose of this study is to present data on the use of learning analytics in the field of education. For this purpose, data available in the Web of Science database were examined using bibliometric analysis. The publication distribution varied between 2011 and 2022, with the number of publications reaching its peak in 2020 and declining thereafter. Findings from co-authorship analysis indicate that Dragan Gašević is the most prolific author and the most cited researcher in the field of learning analytics. Results of co-authorship analysis by country suggest that researchers affiliated with institutions in Australia engage in more collaborative work and cooperation. Results of co-authorship analysis by organizations demonstrate that Monash University in Australia is the organization with the highest level of collaboration with other organizations. The most cited work is Ferguson's (2012) article titled "Learning analytics: drivers, developments and challenges." The most frequently used keywords in conjunction with learning analytics are higher education, educational data mining, online learning, learning design, and self-regulated learning. In recent years, there has been a focus on learning analytics related to learning management systems (LMS) rather than MOOCs in learning environments. The British Journal of Educational Technology, which was established in 1970, is the most cited journal that is commonly referenced in the articles. It is hoped that this study will serve as a valuable reference for researchers interested in the field and guide them in making accurate inferences based on a broad perspective.

Publisher

ISTES Organization

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3