Artificial intelligence in personalised learning: a bibliometric analysis

IF 3.5 Q1 EDUCATION & EDUCATIONAL RESEARCH

Interactive Technology and Smart Education Pub Date : 2023-05-26 DOI:10.1108/itse-01-2023-0007

K. Li, B. Wong

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引用次数: 1

Abstract

Purpose This paper aims to present a comprehensive overview of the patterns and trends of publications on artificial intelligence (AI) in personalised learning. It addresses the need to investigate the intellectual structure and development of this area in view of the growing amount of related research and practices. Design/methodology/approach A bibliometric analysis was conducted to cover publications on AI in personalised learning published from 2000 to 2022, including a total of 1,005 publications collected from the Web of Science and Scopus. The patterns and trends in terms of sources of publications, intellectual structure and major topics were analysed. Findings Research on AI in personalised learning has been widely published in various sources. The intellectual bases of related work were mostly on studies on the application of AI technologies in education and personalised learning. The relevant research covered mainly AI technologies and techniques, as well as the design and development of AI systems to support personalised learning. The emerging topics have addressed areas such as big data, learning analytics and deep learning. Originality/value This study depicted the research hotspots of personalisation in learning with the support of AI and illustrated the evolution and emerging trends in the field. The results highlight its latest developments and the need for future work on diverse means to support personalised learning with AI, the pedagogical issues, as well as teachers’ roles and teaching strategies.

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个性化学习中的人工智能:文献计量学分析

本文旨在全面概述个性化学习中人工智能(AI)出版物的模式和趋势。鉴于越来越多的相关研究和实践，它解决了调查这一领域的知识结构和发展的需要。设计/方法/方法对2000年至2022年发表的关于人工智能在个性化学习方面的出版物进行了文献计量分析，其中包括从Web of Science和Scopus收集的1005份出版物。分析了出版物来源、知识结构和主要专题方面的模式和趋势。关于人工智能在个性化学习中的研究已经在各种渠道上广泛发表。相关工作的智力基础主要是研究人工智能技术在教育和个性化学习中的应用。相关研究主要涵盖人工智能技术和技术，以及支持个性化学习的人工智能系统的设计和开发。新兴主题涉及大数据、学习分析和深度学习等领域。原创性/价值本研究描述了人工智能支持下个性化学习的研究热点，并阐述了该领域的演变和新兴趋势。研究结果强调了人工智能的最新发展，以及未来需要在多种手段上开展工作，以支持人工智能个性化学习、教学问题以及教师的角色和教学策略。

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来源期刊

Interactive Technology and Smart Education EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

12.00

自引率

2.30%

发文量

期刊介绍： Interactive Technology and Smart Education (ITSE) is a multi-disciplinary, peer-reviewed journal, which provides a distinct forum to specially promote innovation and participative research approaches. The following terms are defined, as used in the context of this journal: -Interactive Technology refers to all forms of digital technology, as described above, emphasizing innovation and human-/user-centred approaches. -Smart Education "SMART" is used as an acronym that refers to interactive technology that offers a more flexible and tailored approach to meet diverse individual requirements by being “Sensitive, Manageable, Adaptable, Responsive and Timely” to educators’ pedagogical strategies and learners’ educational and social needs’. -Articles are invited that explore innovative use of educational technologies that advance interactive technology in general and its applications in education in particular. The journal aims to bridge gaps in the field by promoting design research, action research, and continuous evaluation as an integral part of the development cycle of usable solutions/systems.