Artificial intelligence in higher education: a bibliometric analysis and topic modeling approach

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2023-10-18 DOI:10.1080/08839514.2023.2261730

Vusumuzi Maphosa, Mfowabo Maphosa

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引用次数: 0

Abstract

Artificial intelligence (AI) has brought unprecedented growth and productivity in every socioeconomic sector. AI adoption in education is transformational through reduced teacher workload, individualized learning, intelligent tutors, profiling and prediction, high-precision education, collaboration, and learner tracking. This paper highlights the trajectory of AI research in higher education (HE) through bibliometric analysis and topic modeling approaches. We used the PRISMA guidelines to select 304 articles published in the Scopus database between 2012 and 2021. VOSviewer was used for visualization and text-mining to identify hotspots in the field. Latent Dirichlet Allocation analysis reveals distinct topics in the dynamic relationship between AI and HE. Only 9.6% of AI research in HE was achieved in the first seven years, with the last three years contributing 90.4%. China, the United States, Russia and the United Kingdom dominated publications. Four themes emerged – data as the catalyst, the development of AI, the adoption of AI in HE and emerging trends and the future of AI in HE. Topic modeling on the abstracts revealed the 10 most frequent topics and the top 30 most salient terms. This research contributes to the literature by synthesizing AI adoption opportunities in HE, topic modeling and future research areas.

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高等教育中的人工智能:文献计量分析与主题建模方法

人工智能(AI)在每个社会经济部门都带来了前所未有的增长和生产力。通过减少教师工作量、个性化学习、智能导师、分析和预测、高精度教育、协作和学习者跟踪，教育领域采用人工智能是一种转型。本文通过文献计量分析和主题建模方法，重点介绍了高等教育中人工智能研究的发展轨迹。我们使用PRISMA指南选择了2012年至2021年间在Scopus数据库中发表的304篇文章。使用VOSviewer进行可视化和文本挖掘，以识别现场热点。潜在狄利克雷分配分析揭示了人工智能与高等教育之间动态关系的不同主题。高等教育领域的人工智能研究中，前7年仅占9.6%，后3年贡献了90.4%。中国、美国、俄罗斯和英国在出版物中占主导地位。会议出现了四个主题:数据作为催化剂、人工智能的发展、人工智能在高等教育中的应用、新兴趋势以及人工智能在高等教育中的未来。摘要的主题建模揭示了10个最常见的主题和前30个最突出的术语。本研究通过综合人工智能在高等教育、主题建模和未来研究领域的应用机会，为文献做出了贡献。

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

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.