Comparative study on intelligent education research among countries based on bibliographic coupling analysis

Chao Ma, Qiaoyun Xu, Baiyang Li
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引用次数: 8

Abstract

PurposeThe continuous development of information technology leads to intelligent education research. In the context of internationalisation, the study aims to understand the relevant research status worldwide, research similarities and differences that need to be discovered, and research frontiers that need to be explored.Design/methodology/approachWeb of Science (WoS) core collection was used as the data source, descriptive statistical analysis, geographic data visualisation and coupling analysis are used to reveal coupling relationships, present a cooperative situation and discover research frontiers.FindingsIntelligent education research has been widely carried out in countries around the world, and there is extensive scientific research cooperation. According to coupling analysis results, the coupling strength of bibliographic between countries has been continuously improved, while the coupling strength of keywords has remained balanced, and there is standardisation and diversity of research.Research limitations/implicationsThe weakness of the research lies in the limitations of the data sources. Important research achievements on a certain topic in many non-English speaking countries are usually published in native journals. In the future research direction, more coupling analysis objects can be carried out, such as focussing on authors and institutions.Practical implicationsThrough the coupling analysis of country bibliographic and keywords, it reveals the consistency and divergence of intelligent education research between different countries at different time spans.Originality/valueDesign and implement country bibliographic coupling (CBC) and country keyword coupling (CKC) strength indicators to calculate the strength of coupling between countries.
基于文献耦合分析的各国智能教育研究比较研究
目的信息技术的不断发展催生了智能教育的研究。在国际化的背景下,本研究旨在了解世界范围内的相关研究现状,需要发现的研究异同,需要探索的研究前沿。设计/方法/方法以web of Science (WoS)核心数据集为数据源,通过描述性统计分析、地理数据可视化和耦合分析揭示耦合关系,呈现合作态势,发现研究前沿。世界各国广泛开展了智能教育研究,并开展了广泛的科研合作。从耦合分析结果来看,国家间书目耦合强度不断提高,关键词耦合强度保持平衡,研究呈现标准化和多样性。研究的局限性/启示本研究的不足在于数据来源的局限性。许多非英语国家对某一主题的重要研究成果通常发表在本国期刊上。在未来的研究方向上,可以开展更多的耦合分析对象,如关注作者和机构。通过对国家书目与关键词的耦合分析,揭示了不同时期不同国家智能教育研究的一致性与差异性。原创性/价值设计并实施国家书目耦合(CBC)和国家关键词耦合(CKC)强度指标,计算国家间的耦合强度。
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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