Statistical Analysis: Impact of Artificial Intelligence on Academic Performance

IF 1.7 Q2 Social Sciences
José Renato Ballón Cusirramos, José Enrique Martínez-Serra, Marcos Alejandro Yánez-Rodríguez, Arelys García-Chávez
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引用次数: 0

Abstract

A documentary review was carried out on the production and publication of research papers related to the study of the variables Artificial Intelligence and Academic Performance. The purpose of the bibliometric analysis proposed in this document was to know the main characteristics of the volume of publications registered in the Scopus database during the period 2017-2022 by Latin American institutions, achieving the identification of 56 publications. The information provided by this platform was organized through graphs and figures, categorizing the information by Year of Publication, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics have been described, the position of different authors on the proposed topic is referenced through a qualitative analysis. Among the main findings made through this research, it is found that Mexico, with 17 publications, was the Latin American country with the highest scientific production registered in the name of authors affiliated with institutions of that nation. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material related to the study of Artificial Intelligence and Academic Performance was Computer Science with a total of 37 published documents, and the most used Publication Type during the period indicated above were Journal Articles with 53% of the total scientific production.
统计分析:人工智能对学习成绩的影响
对与人工智能和学术表现变量研究相关的研究论文的撰写和发表情况进行了文献综述。本文件提出的文献计量分析的目的是了解 2017-2022 年期间拉丁美洲各机构在 Scopus 数据库中登记的出版物数量的主要特点,共确定了 56 份出版物。该平台提供的信息通过图表进行整理,按出版年份、来源国、知识领域和出版物类型进行分类。在对这些特征进行描述后,通过定性分析,对不同作者在拟议主题上的立场进行了参考。在这项研究的主要发现中,墨西哥以 17 篇出版物成为拉丁美洲国家中以本国机构所属作者名义注册的科研成果最多的国家。在与人工智能和学术表现研究相关的书目资料建设方面贡献最大的知识领域是计算机科学,共发表了 37 篇文献,在上述期间使用最多的出版类型是期刊论文,占科学成果总数的 53%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Migration Letters
Migration Letters DEMOGRAPHY-
自引率
23.50%
发文量
58
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